Intuit Principal Business Data Analysis in Reno, Nevada
Intuit QuickBooks is on a mission to transform financial services for small businesses through its money movement platform. To deliver on this initiative, we are expanding our Fraud Policy team that focuses on building AI driven fraud controls to detect and prevent fraud in the ecosystem as well as minimizing impact to good customers. We are part of the Small Business and Self-Employed Group (SBSEG), focused on preventing fraud across all fintech products. We are seeking a Risk Policy lead that will work across multiple functions like Risk Operations, Decision Science, Product, Engineering, Finance & Compliance to design and drive fraud mitigation risk strategies. If you have passion for fraud mitigation and love solving real customer problems through analytics and data science, we welcome you to join our talented team.
This role will focus on risk policy development for our Payments, Payroll, QuickBooks Capital or other new Fintech products. Responsibilities will focus on fraud detection and prevention, but elements of credit risk management may also be expected. The lead is responsible for driving fraud risk aspects of business initiatives as well as respond to fraud-related events and demands. Successful candidates for this role will leverage fraud risk expertise, financial analytics and innovative risk strategies to enable Intuit’s SMB growth and expansion, achieve optimal profitability, and enhance trust-related merchant and consumer experience.
What you'll bring
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.
How you will lead
Strong business acumen and exceptional analytical ability with 8+ 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, 3rd 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
Master’s degree in Business, Statistics, Finance, Engineering or a related field. MBA or graduate degree in a related field a plus.
EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
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