Intuit

Intuit Mountain View, CA, USA
Jul 19, 2019
Full time
Overview One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That's how we power prosperity. QuickBooks Capital is a nimble and high-priority start-up within Intuit that is looking to reinvent small business borrowing. We are looking for team members that love new challenges, cracking tough problems and working cross-functionally. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply. Responsibilities * This role teams up with our credit modeling, underwriting, data engineering teams closely to drive customer segmentations, develop innovative credit strategies, perform portfolio analyses, and build and update monthly reports for QuickBooks Capital products * Use big data technology to mine massive scale transactional data to improve our current credit strategies and design new risk-adjusted products * Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process * Dive deep into our lending portfolio performance and consolidate analytics insights/dashboards to present in front of business audience and senior/executive leaders * Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our acquisition strategies and credit policy * Work collaboratively with other business partners (product development, marketing, data engineering, compliance, underwriting team etc.) to implement and execute new credit policy * Actively contribute creative ideas to design new financing products for our QuickBooks customers Qualifications * MS/PhD in quantitative fields such as Statistics, Operational Research, Industry Engineering, Economics etc. Or Bachelor Degree in same fields with 5+ years working experience * 3+ years working experience in an analytics related role. Lending or Fintech experience strongly preferred * Have a track record of diving into data and drive data insights for business needs both quantitatively and qualitatively * Proficient in one of the following analytics tools, such as Python, R, and SAS. * Advanced Excel skills with strong logical and SQL/relational database query skills * Familiar with big data technology such as HIVE, Hadoop and other related concepts * Excellent communication skills and ability to learn fast, and confidence in taking ownership and passion in driving changes in a fast-paced working environment * Having risk related domain knowledge, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections
Intuit Palo Alto, CA, USA
Jul 19, 2019
Full time
Overview One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That's how we power prosperity. QuickBooks Capital is a nimble and high-priority start-up within Intuit that is looking to reinvent small business borrowing. We are looking for team members that love new challenges, cracking tough problems and working cross-functionally. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply. Responsibilities * This role teams up with our credit modeling, underwriting, data engineering teams closely to drive customer segmentations, develop innovative credit strategies, perform portfolio analyses, and build and update monthly reports for QuickBooks Capital products * Use big data technology to mine massive scale transactional data to improve our current credit strategies and design new risk-adjusted products * Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process * Dive deep into our lending portfolio performance and consolidate analytics insights/dashboards to present in front of business audience and senior/executive leaders * Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our acquisition strategies and credit policy * Work collaboratively with other business partners (product development, marketing, data engineering, compliance, underwriting team etc.) to implement and execute new credit policy * Actively contribute creative ideas to design new financing products for our QuickBooks customers Qualifications * MS/PhD in quantitative fields such as Statistics, Operational Research, Industry Engineering, Economics etc. Or Bachelor Degree in same fields with 5+ years working experience * 3+ years working experience in an analytics related role. Lending or Fintech experience strongly preferred * Have a track record of diving into data and drive data insights for business needs both quantitatively and qualitatively * Proficient in one of the following analytics tools, such as Python, R, and SAS. * Advanced Excel skills with strong logical and SQL/relational database query skills * Familiar with big data technology such as HIVE, Hadoop and other related concepts * Excellent communication skills and ability to learn fast, and confidence in taking ownership and passion in driving changes in a fast-paced working environment * Having risk related domain knowledge, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections
Intuit San Jose, CA, USA
Jul 19, 2019
Full time
Overview One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That's how we power prosperity. QuickBooks Capital is a nimble and high-priority start-up within Intuit that is looking to reinvent small business borrowing. We are looking for team members that love new challenges, cracking tough problems and working cross-functionally. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply. Responsibilities * This role teams up with our credit modeling, underwriting, data engineering teams closely to drive customer segmentations, develop innovative credit strategies, perform portfolio analyses, and build and update monthly reports for QuickBooks Capital products * Use big data technology to mine massive scale transactional data to improve our current credit strategies and design new risk-adjusted products * Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process * Dive deep into our lending portfolio performance and consolidate analytics insights/dashboards to present in front of business audience and senior/executive leaders * Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our acquisition strategies and credit policy * Work collaboratively with other business partners (product development, marketing, data engineering, compliance, underwriting team etc.) to implement and execute new credit policy * Actively contribute creative ideas to design new financing products for our QuickBooks customers Qualifications * MS/PhD in quantitative fields such as Statistics, Operational Research, Industry Engineering, Economics etc. Or Bachelor Degree in same fields with 5+ years working experience * 3+ years working experience in an analytics related role. Lending or Fintech experience strongly preferred * Have a track record of diving into data and drive data insights for business needs both quantitatively and qualitatively * Proficient in one of the following analytics tools, such as Python, R, and SAS. * Advanced Excel skills with strong logical and SQL/relational database query skills * Familiar with big data technology such as HIVE, Hadoop and other related concepts * Excellent communication skills and ability to learn fast, and confidence in taking ownership and passion in driving changes in a fast-paced working environment * Having risk related domain knowledge, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections
Intuit Santa Clara, CA, USA
Jul 19, 2019
Full time
Overview One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That's how we power prosperity. QuickBooks Capital is a nimble and high-priority start-up within Intuit that is looking to reinvent small business borrowing. We are looking for team members that love new challenges, cracking tough problems and working cross-functionally. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply. Responsibilities * This role teams up with our credit modeling, underwriting, data engineering teams closely to drive customer segmentations, develop innovative credit strategies, perform portfolio analyses, and build and update monthly reports for QuickBooks Capital products * Use big data technology to mine massive scale transactional data to improve our current credit strategies and design new risk-adjusted products * Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process * Dive deep into our lending portfolio performance and consolidate analytics insights/dashboards to present in front of business audience and senior/executive leaders * Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our acquisition strategies and credit policy * Work collaboratively with other business partners (product development, marketing, data engineering, compliance, underwriting team etc.) to implement and execute new credit policy * Actively contribute creative ideas to design new financing products for our QuickBooks customers Qualifications * MS/PhD in quantitative fields such as Statistics, Operational Research, Industry Engineering, Economics etc. Or Bachelor Degree in same fields with 5+ years working experience * 3+ years working experience in an analytics related role. Lending or Fintech experience strongly preferred * Have a track record of diving into data and drive data insights for business needs both quantitatively and qualitatively * Proficient in one of the following analytics tools, such as Python, R, and SAS. * Advanced Excel skills with strong logical and SQL/relational database query skills * Familiar with big data technology such as HIVE, Hadoop and other related concepts * Excellent communication skills and ability to learn fast, and confidence in taking ownership and passion in driving changes in a fast-paced working environment * Having risk related domain knowledge, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections
Intuit Sunnyvale, CA, USA
Jul 19, 2019
Full time
Overview One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That's how we power prosperity. QuickBooks Capital is a nimble and high-priority start-up within Intuit that is looking to reinvent small business borrowing. We are looking for team members that love new challenges, cracking tough problems and working cross-functionally. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply. Responsibilities * This role teams up with our credit modeling, underwriting, data engineering teams closely to drive customer segmentations, develop innovative credit strategies, perform portfolio analyses, and build and update monthly reports for QuickBooks Capital products * Use big data technology to mine massive scale transactional data to improve our current credit strategies and design new risk-adjusted products * Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process * Dive deep into our lending portfolio performance and consolidate analytics insights/dashboards to present in front of business audience and senior/executive leaders * Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our acquisition strategies and credit policy * Work collaboratively with other business partners (product development, marketing, data engineering, compliance, underwriting team etc.) to implement and execute new credit policy * Actively contribute creative ideas to design new financing products for our QuickBooks customers Qualifications * MS/PhD in quantitative fields such as Statistics, Operational Research, Industry Engineering, Economics etc. Or Bachelor Degree in same fields with 5+ years working experience * 3+ years working experience in an analytics related role. Lending or Fintech experience strongly preferred * Have a track record of diving into data and drive data insights for business needs both quantitatively and qualitatively * Proficient in one of the following analytics tools, such as Python, R, and SAS. * Advanced Excel skills with strong logical and SQL/relational database query skills * Familiar with big data technology such as HIVE, Hadoop and other related concepts * Excellent communication skills and ability to learn fast, and confidence in taking ownership and passion in driving changes in a fast-paced working environment * Having risk related domain knowledge, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections
Intuit Cupertino, CA, USA
Jul 19, 2019
Full time
Overview One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That's how we power prosperity. QuickBooks Capital is a nimble and high-priority start-up within Intuit that is looking to reinvent small business borrowing. We are looking for team members that love new challenges, cracking tough problems and working cross-functionally. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply. Responsibilities * This role teams up with our credit modeling, underwriting, data engineering teams closely to drive customer segmentations, develop innovative credit strategies, perform portfolio analyses, and build and update monthly reports for QuickBooks Capital products * Use big data technology to mine massive scale transactional data to improve our current credit strategies and design new risk-adjusted products * Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process * Dive deep into our lending portfolio performance and consolidate analytics insights/dashboards to present in front of business audience and senior/executive leaders * Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our acquisition strategies and credit policy * Work collaboratively with other business partners (product development, marketing, data engineering, compliance, underwriting team etc.) to implement and execute new credit policy * Actively contribute creative ideas to design new financing products for our QuickBooks customers Qualifications * MS/PhD in quantitative fields such as Statistics, Operational Research, Industry Engineering, Economics etc. Or Bachelor Degree in same fields with 5+ years working experience * 3+ years working experience in an analytics related role. Lending or Fintech experience strongly preferred * Have a track record of diving into data and drive data insights for business needs both quantitatively and qualitatively * Proficient in one of the following analytics tools, such as Python, R, and SAS. * Advanced Excel skills with strong logical and SQL/relational database query skills * Familiar with big data technology such as HIVE, Hadoop and other related concepts * Excellent communication skills and ability to learn fast, and confidence in taking ownership and passion in driving changes in a fast-paced working environment * Having risk related domain knowledge, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections
Intuit Mountain View, CA, USA
Jul 19, 2019
Full time
Overview Intuit believes in the power of the individual. The power to do more. To make more. To be more. We believe in the people who do things - the hat jugglers, the to-do list junkies, the masters of getting it done faster, better and more efficiently than ever before. Whether that's balancing the household budget, running a business or paying taxes. We believe in these people because we are these people. We thrive on action - and results. And by making things simpler, we all get more out of doing what we love. We're innovators and have been at it for more than three decades. And we don't stand still. As the world evolves, so do we - inventing new solutions to solve important problems, perfecting those solutions and delighting our customers. In short: We're on a mission to power prosperity around the world. We started small in 1983 with Quicken personal finance software, simplifying a common household dilemma: balancing the family check book. Today, we serve 42 million customers in North America, Europe, Australia and Brazil, with products available from the desktop to the cloud. Supporting our mission, our strategy is to apply a laser-like focus to help our customers prosper through One Intuit Ecosystem that: Puts more money in their pockets through data-driven services Eliminates work through innovative technology Provides complete confidence that they can do it right - by themselves - with complete confidence Just as we transformed before, from DOS to the web, and to the cloud and mobile, we are evolving again to deliver personalized experiences on a trusted, open platform and help create indispensable connections. As the way we live and work evolves, we adapt our strategy to meet and lead these changes. No matter where you find us - and whether you use our products on your PC, mobile phone or tablet - we remain committed to creating new and easier ways for consumers and businesses to tackle life's financial chores, giving them more time to live their lives and run their businesses. As our business and product lines grow beyond accounting and into new areas, we will build on our heritage of innovation. That's not just our history . It's our future. Director of Product Development, Data Platform Come join the Intuit Data Platform (IDP) team as a Director of Development. IDP is a highly-available, secure, big-data service for storing Intuit customers' data. It is deployed, maintained, and operated by experienced development and operations teams. The vision is for IDP to be the primary location for storing Intuit customer data, suitable for storing and sharing the data across all Intuit products. IDP continues to evolve, becoming part of the larger Data Fabric architecture, in order to integrate with other data management capabilities, like streaming, analytics and visualization. This Director role critical to delivering Intuit's Big Bet #1 - Revolutionize Speed to Benefit: Clean Data, Never Enter Data, Accelerate AI. You will partner closely with Data Science and PD leaders across intuit to drive our Big Bet initiatives. ROLE DESCRIPTION We are looking for a strong people leader who is comfortable working collaboratively across boundaries. This leader will a world class ML Platform and feature management platform. The ideal candidate is a sought-after manager because of her/his ability to mentor and grow teams and individuals. Responsibilities ESSENTIAL FUNCTIONS Oversee ML platform organization consisting of 4 engineering managers and 32 engineers; with expected growth in FY20. Work with Intuit teams to reduce friction, strengthen accountability and improve innovation and flexibility. Implement vision of ML Platform to accelerate AI/ML and clean data. Accelerate clean data and application of AI/ML techniques for curation, data quality monitoring and anomaly detection. Drive lifecycle of AI/ML model creating, training, testing, experimentation, and deployment. FMP (Feature Management Platform) consolidation. Qualifications QUALIFICATIONS Think Strategically… Proven ability to mold engineering teams (and the overall business unit) into a seamless team, with common goals and vision while winning the hearts and minds of the employees Demonstrated track record of developing and implementing best practices in a connected service, SaaS and/or mobile environment Drives for Results… He/she will have demonstrated a track record of success in achieving high-impact business results in a complex and multi-business-line work environment Proven, solid decision-making processes… balancing principles and data along with judgment Superior organizational and planning skills, excellent written/verbal presentation and listening skills, and the ability to present complex technical information in a clear, confident and concise manner to a variety of audiences, including non-technical Building High Performing Teams… Demonstrated open and frequent communications at all levels of the organization with a genuine sensitivity and commitment to the development needs of the organization Proven ability to quickly gain trust, negotiate business objectives, have constructive debate, and work directly with a broad group of senior executives, including partnering with peer leaders, sister BUs, and within the functional community Ability to apply performance management rigor… hire, mentor, coach and develop directs and other high-potential managers to be the best that they can be, while ensuring they are in the right roles Innovate for Impact… Energize the organization to drive continuous improvement and explore and implement creative ideas to significantly improve performance Knows how to integrate customers and engineers in such a way that drives excitement, innovation, continuous improvement, and better ways to serve our customers and significantly improve performance Demonstrated strong understanding of customer needs and integrates insights into offerings that "delight" our customers… including recognizing the value of spending time with customers Strong problem-solving skills and analytical orientation with the ability to analyze alternative solutions Inspire for Action… Positively affect behavior of others to achieve high performance and personal satisfaction through a sense of purpose and spirit of collaboration Role models an entrepreneurial "own the outcome" mindset, applied at scale and through working with others Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies to Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award-winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide. Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market - from QuickBooks®, and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit. Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com . EOE AA M/F/Vet/Disability
Intuit Sunnyvale, CA, USA
Jul 15, 2019
Full time
Overview One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That's how we power prosperity. QuickBooks Capital is a nimble and high-priority start-up within Intuit that is looking to reinvent small business borrowing. We are looking for team members that love new challenges, cracking tough problems and working cross-functionally. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply. Responsibilities This role teams up with our credit modeling, underwriting, data engineering teams closely to drive customer segmentations, develop innovative credit strategies, perform portfolio analyses, and build and update monthly reports for QuickBooks Capital products Use big data technology to mine massive scale transactional data to improve our current credit strategies and design new risk-adjusted products Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process Dive deep into our lending portfolio performance and consolidate analytics insights/dashboards to present in front of business audience and senior/executive leaders Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our acquisition strategies and credit policy Work collaboratively with other business partners (product development, marketing, data engineering, compliance, underwriting team etc.) to implement and execute new credit policy Actively contribute creative ideas to design new financing products for our QuickBooks customers Qualifications MS/PhD in quantitative fields such as Statistics, Operational Research, Industry Engineering, Economics etc. Or Bachelor Degree in same fields with 5+ years working experience 3+ years working experience in an analytics related role. Lending or Fintech experience strongly preferred Have a track record of diving into data and drive data insights for business needs both quantitatively and qualitatively Proficient in one of the following analytics tools, such as Python, R, and SAS. Advanced Excel skills with strong logical and SQL/relational database query skills Familiar with big data technology such as HIVE, Hadoop and other related concepts Excellent communication skills and ability to learn fast, and confidence in taking ownership and passion in driving changes in a fast-paced working environment Having risk related domain knowledge, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections
Intuit Mountain View, CA, USA
Jul 15, 2019
Full time
Overview Intuit QuickBooks is on a mission to transform small business money movement through its financial service platform. We are seeking a Risk Policy Lead as part of our growing SMS policy team within Intuit's Small Business Group (SBGSE). The Risk Policy Lead will work across functions (Risk Operations, Decision Science, Marketing, Product, Engineering, Finance, Audit, Corporate Accounting, etc.) to design and drive fraud risk strategies for Small & Medium Sized businesses. If you're innovative, passionate about solving real customer problems, and love new challenges, we welcome you to join our talented and fun team. This role will focus on risk policy development for our Payments, Payroll & Quickbooks Capital products. Responsibilities will focus on fraud prevention and detection but elements of credit risk management may also be expected. Successful candidates for this role will leverage local market knowledge, risk expertise, financial analytics and innovative risk strategies to enable Intuit's SMB growth and expansion, achieve optimal profitability, and enhance trust-related consumer and merchant experience. Responsibilities Enhance current risk policy, via a deep understanding of our merchant portfolio and related data as well as business practices and objectives Present policies to business audience and senior/executive leaders in a compelling and data backed fashion Design, implement, and monitor experiments to explore new methodologies and estimate key metrics for risk policy effectiveness and efficiency Leverage Intuit ecosystem as well as test latest third party data solutions to enhance existing fraud policies Effectively work with product and technology teams to build risk solutions, partner with risk operations to operationalize solutions. In addition, the candidate should bring a high level of enthusiasm to the projects and the ability to organize and motivate large groups. This includes taking initiative, ownership and responsibility for projects. Ability to perform quantitative and business trade-off decisions and create risk policies. Must be an organized analytical thinker, with the ability to perform or direct a detailed, fully-considered analysis Must have good judgement with the ability to think creatively and strategically. Qualifications Strong business acumen and exceptional analytical ability with 5+ years of relevant experience. Experience with Fintech (Small Business Payment, Payroll, or Lending) is preferred. Excellent communication skills with the ability to interact with and understand technical subjects and emerging technologies and their relevance to Intuit's growing money service offerings with the ability to negotiate, prioritize across teams, influence decision makers and build consensus with teams. Have a track record of diving into data and drive data insights for business needs both quantitatively and qualitatively. Experience with statistical analysis tools such as Excel, SQL, Python, R, Stata, or data visualization tools. Familiar with big data technology such as HIVE, Hadoop, AWS and other related concepts. Working knowledge of the fundamentals of risk policy such as fraud detection, 3 rd party fraud and credit bureau data, scorecard modeling, pricing, loss forecasting, collections and fraud detection. Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity. Strong organization and time management skills and the ability to manage multiple projects and priorities
Intuit Del Mar, CA 92014, USA
Jul 15, 2019
Full time
Overview Intuit is seeking a Senior Manager of Customer Analytics to manage a small team of analysts covering the customer analytics space for Intuit's Consumer Group (TurboTax, Mint, Turbo). We have an exciting opportunity to help shape how we use data to generate hypotheses, surface insights, and build models in order to personalize customer experiences and provide awesome outcomes for the business and our customers. This role will partner closely with data engineering, data analytics, data science, marketing managers, and product management. This role will balance individual contribution with direct management of a small team. Responsibilities · Partner with cross-functional stakeholders to better understand our users and create a single, accurate view of a customer across businesses to make decisions about how best to acquire/retain them, segment, identify high potential value, and proactively interact with them. · Directly manage a small team of business data analysts responsible for modeling customer data and develop them in their careers, both technically and professionally. · Own and prioritize the team's backlog, and partner directly with business partners to effectively communicate prioritization and commitment to a co-owned and evolving product strategy. · Pursue data quality, troubleshoot data validation, and see issues to resolution. Qualifications · 7-10 years of experience working in web, product, customer, care, or other related analytics fields. Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations. · 5-7 years of managing data professionals, ideally data analysts or data scientists. Demonstrated history of developing individuals within your team. · 5+ years applied data science/data modeling experience. Ability to Analyze large amounts of structured and unstructured data and determine suitability for modeling. Broad understanding and demonstrated history of applying various algorithms to business use cases to drive business and customer value. · Strong modeling foundation - hands-on expertise with data mining and statistical modeling techniques such as clustering, classification, regression, tree-based methods, neural nets, support vector machines, anomaly detection, and natural language processing. Expertise with NLP is a plus. · Expertise in modern advanced analytical tools and programming languages such as Python (preferred - will be used in this role), Scala, or R. Efficient in SQL, Hive, SparkSQL, etc. · Ability to manage multiple projects simultaneously to meet objectives and deadlines. · Outstanding communications skills with both technical and non-technical colleagues. · MS in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent is preferred.
Intuit Escondido, CA, USA
Jul 15, 2019
Full time
Overview Intuit is seeking a Senior Manager of Customer Analytics to manage a small team of analysts covering the customer analytics space for Intuit's Consumer Group (TurboTax, Mint, Turbo). We have an exciting opportunity to help shape how we use data to generate hypotheses, surface insights, and build models in order to personalize customer experiences and provide awesome outcomes for the business and our customers. This role will partner closely with data engineering, data analytics, data science, marketing managers, and product management. This role will balance individual contribution with direct management of a small team. Responsibilities · Partner with cross-functional stakeholders to better understand our users and create a single, accurate view of a customer across businesses to make decisions about how best to acquire/retain them, segment, identify high potential value, and proactively interact with them. · Directly manage a small team of business data analysts responsible for modeling customer data and develop them in their careers, both technically and professionally. · Own and prioritize the team's backlog, and partner directly with business partners to effectively communicate prioritization and commitment to a co-owned and evolving product strategy. · Pursue data quality, troubleshoot data validation, and see issues to resolution. Qualifications · 7-10 years of experience working in web, product, customer, care, or other related analytics fields. Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations. · 5-7 years of managing data professionals, ideally data analysts or data scientists. Demonstrated history of developing individuals within your team. · 5+ years applied data science/data modeling experience. Ability to Analyze large amounts of structured and unstructured data and determine suitability for modeling. Broad understanding and demonstrated history of applying various algorithms to business use cases to drive business and customer value. · Strong modeling foundation - hands-on expertise with data mining and statistical modeling techniques such as clustering, classification, regression, tree-based methods, neural nets, support vector machines, anomaly detection, and natural language processing. Expertise with NLP is a plus. · Expertise in modern advanced analytical tools and programming languages such as Python (preferred - will be used in this role), Scala, or R. Efficient in SQL, Hive, SparkSQL, etc. · Ability to manage multiple projects simultaneously to meet objectives and deadlines. · Outstanding communications skills with both technical and non-technical colleagues. · MS in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent is preferred.
Intuit Santa Clara, CA, USA
Jul 15, 2019
Full time
Overview Intuit QuickBooks is on a mission to transform small business money movement through its financial service platform. We are seeking a Risk Policy Lead as part of our growing SMS policy team within Intuit's Small Business Group (SBGSE). The Risk Policy Lead will work across functions (Risk Operations, Decision Science, Marketing, Product, Engineering, Finance, Audit, Corporate Accounting, etc.) to design and drive fraud risk strategies for Small & Medium Sized businesses. If you're innovative, passionate about solving real customer problems, and love new challenges, we welcome you to join our talented and fun team. This role will focus on risk policy development for our Payments, Payroll & Quickbooks Capital products. Responsibilities will focus on fraud prevention and detection but elements of credit risk management may also be expected. Successful candidates for this role will leverage local market knowledge, risk expertise, financial analytics and innovative risk strategies to enable Intuit's SMB growth and expansion, achieve optimal profitability, and enhance trust-related consumer and merchant experience. Responsibilities Enhance current risk policy, via a deep understanding of our merchant portfolio and related data as well as business practices and objectives Present policies to business audience and senior/executive leaders in a compelling and data backed fashion Design, implement, and monitor experiments to explore new methodologies and estimate key metrics for risk policy effectiveness and efficiency Leverage Intuit ecosystem as well as test latest third party data solutions to enhance existing fraud policies Effectively work with product and technology teams to build risk solutions, partner with risk operations to operationalize solutions. In addition, the candidate should bring a high level of enthusiasm to the projects and the ability to organize and motivate large groups. This includes taking initiative, ownership and responsibility for projects. Ability to perform quantitative and business trade-off decisions and create risk policies. Must be an organized analytical thinker, with the ability to perform or direct a detailed, fully-considered analysis Must have good judgement with the ability to think creatively and strategically. Qualifications Strong business acumen and exceptional analytical ability with 5+ years of relevant experience. Experience with Fintech (Small Business Payment, Payroll, or Lending) is preferred. Excellent communication skills with the ability to interact with and understand technical subjects and emerging technologies and their relevance to Intuit's growing money service offerings with the ability to negotiate, prioritize across teams, influence decision makers and build consensus with teams. Have a track record of diving into data and drive data insights for business needs both quantitatively and qualitatively. Experience with statistical analysis tools such as Excel, SQL, Python, R, Stata, or data visualization tools. Familiar with big data technology such as HIVE, Hadoop, AWS and other related concepts. Working knowledge of the fundamentals of risk policy such as fraud detection, 3 rd party fraud and credit bureau data, scorecard modeling, pricing, loss forecasting, collections and fraud detection. Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity. Strong organization and time management skills and the ability to manage multiple projects and priorities
Intuit Cupertino, CA, USA
Jul 15, 2019
Full time
Overview Intuit QuickBooks is on a mission to transform small business money movement through its financial service platform. We are seeking a Risk Policy Lead as part of our growing SMS policy team within Intuit's Small Business Group (SBGSE). The Risk Policy Lead will work across functions (Risk Operations, Decision Science, Marketing, Product, Engineering, Finance, Audit, Corporate Accounting, etc.) to design and drive fraud risk strategies for Small & Medium Sized businesses. If you're innovative, passionate about solving real customer problems, and love new challenges, we welcome you to join our talented and fun team. This role will focus on risk policy development for our Payments, Payroll & Quickbooks Capital products. Responsibilities will focus on fraud prevention and detection but elements of credit risk management may also be expected. Successful candidates for this role will leverage local market knowledge, risk expertise, financial analytics and innovative risk strategies to enable Intuit's SMB growth and expansion, achieve optimal profitability, and enhance trust-related consumer and merchant experience. Responsibilities Enhance current risk policy, via a deep understanding of our merchant portfolio and related data as well as business practices and objectives Present policies to business audience and senior/executive leaders in a compelling and data backed fashion Design, implement, and monitor experiments to explore new methodologies and estimate key metrics for risk policy effectiveness and efficiency Leverage Intuit ecosystem as well as test latest third party data solutions to enhance existing fraud policies Effectively work with product and technology teams to build risk solutions, partner with risk operations to operationalize solutions. In addition, the candidate should bring a high level of enthusiasm to the projects and the ability to organize and motivate large groups. This includes taking initiative, ownership and responsibility for projects. Ability to perform quantitative and business trade-off decisions and create risk policies. Must be an organized analytical thinker, with the ability to perform or direct a detailed, fully-considered analysis Must have good judgement with the ability to think creatively and strategically. Qualifications Strong business acumen and exceptional analytical ability with 5+ years of relevant experience. Experience with Fintech (Small Business Payment, Payroll, or Lending) is preferred. Excellent communication skills with the ability to interact with and understand technical subjects and emerging technologies and their relevance to Intuit's growing money service offerings with the ability to negotiate, prioritize across teams, influence decision makers and build consensus with teams. Have a track record of diving into data and drive data insights for business needs both quantitatively and qualitatively. Experience with statistical analysis tools such as Excel, SQL, Python, R, Stata, or data visualization tools. Familiar with big data technology such as HIVE, Hadoop, AWS and other related concepts. Working knowledge of the fundamentals of risk policy such as fraud detection, 3 rd party fraud and credit bureau data, scorecard modeling, pricing, loss forecasting, collections and fraud detection. Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity. Strong organization and time management skills and the ability to manage multiple projects and priorities
Intuit San Jose, CA, USA
Jul 15, 2019
Full time
Overview Intuit QuickBooks is on a mission to transform small business money movement through its financial service platform. We are seeking a Risk Policy Lead as part of our growing SMS policy team within Intuit's Small Business Group (SBGSE). The Risk Policy Lead will work across functions (Risk Operations, Decision Science, Marketing, Product, Engineering, Finance, Audit, Corporate Accounting, etc.) to design and drive fraud risk strategies for Small & Medium Sized businesses. If you're innovative, passionate about solving real customer problems, and love new challenges, we welcome you to join our talented and fun team. This role will focus on risk policy development for our Payments, Payroll & Quickbooks Capital products. Responsibilities will focus on fraud prevention and detection but elements of credit risk management may also be expected. Successful candidates for this role will leverage local market knowledge, risk expertise, financial analytics and innovative risk strategies to enable Intuit's SMB growth and expansion, achieve optimal profitability, and enhance trust-related consumer and merchant experience. Responsibilities Enhance current risk policy, via a deep understanding of our merchant portfolio and related data as well as business practices and objectives Present policies to business audience and senior/executive leaders in a compelling and data backed fashion Design, implement, and monitor experiments to explore new methodologies and estimate key metrics for risk policy effectiveness and efficiency Leverage Intuit ecosystem as well as test latest third party data solutions to enhance existing fraud policies Effectively work with product and technology teams to build risk solutions, partner with risk operations to operationalize solutions. In addition, the candidate should bring a high level of enthusiasm to the projects and the ability to organize and motivate large groups. This includes taking initiative, ownership and responsibility for projects. Ability to perform quantitative and business trade-off decisions and create risk policies. Must be an organized analytical thinker, with the ability to perform or direct a detailed, fully-considered analysis Must have good judgement with the ability to think creatively and strategically. Qualifications Strong business acumen and exceptional analytical ability with 5+ years of relevant experience. Experience with Fintech (Small Business Payment, Payroll, or Lending) is preferred. Excellent communication skills with the ability to interact with and understand technical subjects and emerging technologies and their relevance to Intuit's growing money service offerings with the ability to negotiate, prioritize across teams, influence decision makers and build consensus with teams. Have a track record of diving into data and drive data insights for business needs both quantitatively and qualitatively. Experience with statistical analysis tools such as Excel, SQL, Python, R, Stata, or data visualization tools. Familiar with big data technology such as HIVE, Hadoop, AWS and other related concepts. Working knowledge of the fundamentals of risk policy such as fraud detection, 3 rd party fraud and credit bureau data, scorecard modeling, pricing, loss forecasting, collections and fraud detection. Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity. Strong organization and time management skills and the ability to manage multiple projects and priorities
Intuit Santa Clara, CA, USA
Jul 15, 2019
Full time
Overview One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That's how we power prosperity. QuickBooks Capital is a nimble and high-priority start-up within Intuit that is looking to reinvent small business borrowing. We are looking for team members that love new challenges, cracking tough problems and working cross-functionally. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply. Responsibilities This role teams up with our credit modeling, underwriting, data engineering teams closely to drive customer segmentations, develop innovative credit strategies, perform portfolio analyses, and build and update monthly reports for QuickBooks Capital products Use big data technology to mine massive scale transactional data to improve our current credit strategies and design new risk-adjusted products Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process Dive deep into our lending portfolio performance and consolidate analytics insights/dashboards to present in front of business audience and senior/executive leaders Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our acquisition strategies and credit policy Work collaboratively with other business partners (product development, marketing, data engineering, compliance, underwriting team etc.) to implement and execute new credit policy Actively contribute creative ideas to design new financing products for our QuickBooks customers Qualifications MS/PhD in quantitative fields such as Statistics, Operational Research, Industry Engineering, Economics etc. Or Bachelor Degree in same fields with 5+ years working experience 3+ years working experience in an analytics related role. Lending or Fintech experience strongly preferred Have a track record of diving into data and drive data insights for business needs both quantitatively and qualitatively Proficient in one of the following analytics tools, such as Python, R, and SAS. Advanced Excel skills with strong logical and SQL/relational database query skills Familiar with big data technology such as HIVE, Hadoop and other related concepts Excellent communication skills and ability to learn fast, and confidence in taking ownership and passion in driving changes in a fast-paced working environment Having risk related domain knowledge, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections
Intuit Palo Alto, CA, USA
Jul 15, 2019
Full time
Overview Intuit QuickBooks is on a mission to transform small business money movement through its financial service platform. We are seeking a Risk Policy Lead as part of our growing SMS policy team within Intuit's Small Business Group (SBGSE). The Risk Policy Lead will work across functions (Risk Operations, Decision Science, Marketing, Product, Engineering, Finance, Audit, Corporate Accounting, etc.) to design and drive fraud risk strategies for Small & Medium Sized businesses. If you're innovative, passionate about solving real customer problems, and love new challenges, we welcome you to join our talented and fun team. This role will focus on risk policy development for our Payments, Payroll & Quickbooks Capital products. Responsibilities will focus on fraud prevention and detection but elements of credit risk management may also be expected. Successful candidates for this role will leverage local market knowledge, risk expertise, financial analytics and innovative risk strategies to enable Intuit's SMB growth and expansion, achieve optimal profitability, and enhance trust-related consumer and merchant experience. Responsibilities Enhance current risk policy, via a deep understanding of our merchant portfolio and related data as well as business practices and objectives Present policies to business audience and senior/executive leaders in a compelling and data backed fashion Design, implement, and monitor experiments to explore new methodologies and estimate key metrics for risk policy effectiveness and efficiency Leverage Intuit ecosystem as well as test latest third party data solutions to enhance existing fraud policies Effectively work with product and technology teams to build risk solutions, partner with risk operations to operationalize solutions. In addition, the candidate should bring a high level of enthusiasm to the projects and the ability to organize and motivate large groups. This includes taking initiative, ownership and responsibility for projects. Ability to perform quantitative and business trade-off decisions and create risk policies. Must be an organized analytical thinker, with the ability to perform or direct a detailed, fully-considered analysis Must have good judgement with the ability to think creatively and strategically. Qualifications Strong business acumen and exceptional analytical ability with 5+ years of relevant experience. Experience with Fintech (Small Business Payment, Payroll, or Lending) is preferred. Excellent communication skills with the ability to interact with and understand technical subjects and emerging technologies and their relevance to Intuit's growing money service offerings with the ability to negotiate, prioritize across teams, influence decision makers and build consensus with teams. Have a track record of diving into data and drive data insights for business needs both quantitatively and qualitatively. Experience with statistical analysis tools such as Excel, SQL, Python, R, Stata, or data visualization tools. Familiar with big data technology such as HIVE, Hadoop, AWS and other related concepts. Working knowledge of the fundamentals of risk policy such as fraud detection, 3 rd party fraud and credit bureau data, scorecard modeling, pricing, loss forecasting, collections and fraud detection. Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity. Strong organization and time management skills and the ability to manage multiple projects and priorities
Intuit San Jose, CA, USA
Jul 15, 2019
Full time
Overview One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That's how we power prosperity. QuickBooks Capital is a nimble and high-priority start-up within Intuit that is looking to reinvent small business borrowing. We are looking for team members that love new challenges, cracking tough problems and working cross-functionally. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply. Responsibilities This role teams up with our credit modeling, underwriting, data engineering teams closely to drive customer segmentations, develop innovative credit strategies, perform portfolio analyses, and build and update monthly reports for QuickBooks Capital products Use big data technology to mine massive scale transactional data to improve our current credit strategies and design new risk-adjusted products Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process Dive deep into our lending portfolio performance and consolidate analytics insights/dashboards to present in front of business audience and senior/executive leaders Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our acquisition strategies and credit policy Work collaboratively with other business partners (product development, marketing, data engineering, compliance, underwriting team etc.) to implement and execute new credit policy Actively contribute creative ideas to design new financing products for our QuickBooks customers Qualifications MS/PhD in quantitative fields such as Statistics, Operational Research, Industry Engineering, Economics etc. Or Bachelor Degree in same fields with 5+ years working experience 3+ years working experience in an analytics related role. Lending or Fintech experience strongly preferred Have a track record of diving into data and drive data insights for business needs both quantitatively and qualitatively Proficient in one of the following analytics tools, such as Python, R, and SAS. Advanced Excel skills with strong logical and SQL/relational database query skills Familiar with big data technology such as HIVE, Hadoop and other related concepts Excellent communication skills and ability to learn fast, and confidence in taking ownership and passion in driving changes in a fast-paced working environment Having risk related domain knowledge, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections
Intuit Palo Alto, CA, USA
Jul 15, 2019
Full time
Overview One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That's how we power prosperity. QuickBooks Capital is a nimble and high-priority start-up within Intuit that is looking to reinvent small business borrowing. We are looking for team members that love new challenges, cracking tough problems and working cross-functionally. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply. Responsibilities This role teams up with our credit modeling, underwriting, data engineering teams closely to drive customer segmentations, develop innovative credit strategies, perform portfolio analyses, and build and update monthly reports for QuickBooks Capital products Use big data technology to mine massive scale transactional data to improve our current credit strategies and design new risk-adjusted products Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process Dive deep into our lending portfolio performance and consolidate analytics insights/dashboards to present in front of business audience and senior/executive leaders Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our acquisition strategies and credit policy Work collaboratively with other business partners (product development, marketing, data engineering, compliance, underwriting team etc.) to implement and execute new credit policy Actively contribute creative ideas to design new financing products for our QuickBooks customers Qualifications MS/PhD in quantitative fields such as Statistics, Operational Research, Industry Engineering, Economics etc. Or Bachelor Degree in same fields with 5+ years working experience 3+ years working experience in an analytics related role. Lending or Fintech experience strongly preferred Have a track record of diving into data and drive data insights for business needs both quantitatively and qualitatively Proficient in one of the following analytics tools, such as Python, R, and SAS. Advanced Excel skills with strong logical and SQL/relational database query skills Familiar with big data technology such as HIVE, Hadoop and other related concepts Excellent communication skills and ability to learn fast, and confidence in taking ownership and passion in driving changes in a fast-paced working environment Having risk related domain knowledge, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections
Intuit Mountain View, CA, USA
Jul 15, 2019
Full time
Overview One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That's how we power prosperity. QuickBooks Capital is a nimble and high-priority start-up within Intuit that is looking to reinvent small business borrowing. We are looking for team members that love new challenges, cracking tough problems and working cross-functionally. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply. Responsibilities This role teams up with our credit modeling, underwriting, data engineering teams closely to drive customer segmentations, develop innovative credit strategies, perform portfolio analyses, and build and update monthly reports for QuickBooks Capital products Use big data technology to mine massive scale transactional data to improve our current credit strategies and design new risk-adjusted products Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process Dive deep into our lending portfolio performance and consolidate analytics insights/dashboards to present in front of business audience and senior/executive leaders Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our acquisition strategies and credit policy Work collaboratively with other business partners (product development, marketing, data engineering, compliance, underwriting team etc.) to implement and execute new credit policy Actively contribute creative ideas to design new financing products for our QuickBooks customers Qualifications MS/PhD in quantitative fields such as Statistics, Operational Research, Industry Engineering, Economics etc. Or Bachelor Degree in same fields with 5+ years working experience 3+ years working experience in an analytics related role. Lending or Fintech experience strongly preferred Have a track record of diving into data and drive data insights for business needs both quantitatively and qualitatively Proficient in one of the following analytics tools, such as Python, R, and SAS. Advanced Excel skills with strong logical and SQL/relational database query skills Familiar with big data technology such as HIVE, Hadoop and other related concepts Excellent communication skills and ability to learn fast, and confidence in taking ownership and passion in driving changes in a fast-paced working environment Having risk related domain knowledge, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections
Intuit Sunnyvale, CA, USA
Jul 15, 2019
Full time
Overview Intuit QuickBooks is on a mission to transform small business money movement through its financial service platform. We are seeking a Risk Policy Lead as part of our growing SMS policy team within Intuit's Small Business Group (SBGSE). The Risk Policy Lead will work across functions (Risk Operations, Decision Science, Marketing, Product, Engineering, Finance, Audit, Corporate Accounting, etc.) to design and drive fraud risk strategies for Small & Medium Sized businesses. If you're innovative, passionate about solving real customer problems, and love new challenges, we welcome you to join our talented and fun team. This role will focus on risk policy development for our Payments, Payroll & Quickbooks Capital products. Responsibilities will focus on fraud prevention and detection but elements of credit risk management may also be expected. Successful candidates for this role will leverage local market knowledge, risk expertise, financial analytics and innovative risk strategies to enable Intuit's SMB growth and expansion, achieve optimal profitability, and enhance trust-related consumer and merchant experience. Responsibilities Enhance current risk policy, via a deep understanding of our merchant portfolio and related data as well as business practices and objectives Present policies to business audience and senior/executive leaders in a compelling and data backed fashion Design, implement, and monitor experiments to explore new methodologies and estimate key metrics for risk policy effectiveness and efficiency Leverage Intuit ecosystem as well as test latest third party data solutions to enhance existing fraud policies Effectively work with product and technology teams to build risk solutions, partner with risk operations to operationalize solutions. In addition, the candidate should bring a high level of enthusiasm to the projects and the ability to organize and motivate large groups. This includes taking initiative, ownership and responsibility for projects. Ability to perform quantitative and business trade-off decisions and create risk policies. Must be an organized analytical thinker, with the ability to perform or direct a detailed, fully-considered analysis Must have good judgement with the ability to think creatively and strategically. Qualifications Strong business acumen and exceptional analytical ability with 5+ years of relevant experience. Experience with Fintech (Small Business Payment, Payroll, or Lending) is preferred. Excellent communication skills with the ability to interact with and understand technical subjects and emerging technologies and their relevance to Intuit's growing money service offerings with the ability to negotiate, prioritize across teams, influence decision makers and build consensus with teams. Have a track record of diving into data and drive data insights for business needs both quantitatively and qualitatively. Experience with statistical analysis tools such as Excel, SQL, Python, R, Stata, or data visualization tools. Familiar with big data technology such as HIVE, Hadoop, AWS and other related concepts. Working knowledge of the fundamentals of risk policy such as fraud detection, 3 rd party fraud and credit bureau data, scorecard modeling, pricing, loss forecasting, collections and fraud detection. Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity. Strong organization and time management skills and the ability to manage multiple projects and priorities