Intuit Senior Fraud Risk Strategy Analyst 

United States, California, Mountain View 

983641583

This role will involve developing fraud risk policies for our innovative consumer lending products, with a focus on fraud detection and prevention for new money movement products and features. You will create end-to-end risk policies and drive alignment with cross-functional stakeholders. Additionally, you will manage fraud risk aspects of business initiatives and respond to fraud-related events and demands. Expertise in fraud risk, financial analytics, and innovative risk strategies is required to enable Intuit's growth, expansion, profitability, and trust-enabled consumer experiences.

• Use advanced analytical techniques to mine massive scale account and transactional data to build/optimize fraud risk strategies/policies, and translate into actionable business plans
• Lead the full cycle of risk strategy/policy work, including identify opportunities and action plan, develop and test policy, launch policy to production and monitor the performance
• Build subject matter expertise in different types of risks among money movement offerings to optimize the balance between risk mitigation and growth in the Intuit ecosystem
• Team up with our data scientist, risk operations, product, data engineering, analytics teams closely to drive customer segmentations, develop innovative risk strategies, and perform portfolio analyses
• Test into and recommend 3rd party data providers to solve individual stolen identity, ATO and other types of exposure risk
• Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our risk strategies
• Must have good judgement with the ability to think creatively and strategically

• Strong business acumen and exceptional analytical ability, with 4+ years of relevant experience and bachelors degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science; or MS/PhD with 2+ years of relevant working experience Preferred experience with Fintech and fraud risk in the areas of consumer lending
• Working knowledge of the fundamentals of risk policy for consumer loans and line of credit including fraud detection and identity checks
• Demonstrated experience in designing experiments and using data-driven insights to solve business problems
• Proficient in statistical analysis tools like SQL, Excel, Python, R, and data visualization tools Familiarity with big data technologies such as Hive, Hadoop, and related concepts preferred
• Polished partnership and communication skills, with the ability to interact cross-functionally with both business and technical partners You tell stories with data to influence stakeholders and build consensus for plans of action
• You thrive in a fast-paced environment, and are responsive and decisive during periods of peak fraud activity
• Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations

Bay Area California $144,000 - $195,000

This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at