Senior Fraud and Risk Analyst

Remote Full-time
Responsibilities

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 identifying opportunities and action plans, developing and testing policy, launching policy to production, and monitoring 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 scientists, risk operations, product, data engineering, and 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 judgment with the ability to think creatively and strategically.

Qualifications
• Strong business acumen and exceptional analytical ability, with 6+ years of relevant experience and a bachelor's degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science; or MS/PhD with 3+ 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 lines of credit, including fraud detection and identity checks.
• Demonstrated experience in designing experiments and using data-driven insights to solve business problems.
• The ability to work independently and make decisions with little direction.
• Excellent problem-solving skills and end-to-end, systems-oriented quantitative thinking.
• Extensive SQL experience, particularly in your current role.
• 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.

Core Skills: SQL
Other Skills: Risk mitigation
Seniority: Senior

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