Senior Fraud and Risk Analyst

Intuit Inc.; Mountain View (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading company in financial technology is seeking a Risk Policy Lead to enhance fraud detection and prevention strategies. This role involves collaboration with various teams to design risk policies and utilize advanced analytics. Ideal candidates will have strong analytical skills, a relevant degree, and experience in fintech. Join a dynamic team committed to solving real customer problems through innovative solutions.

Qualifications

• 4+ years of experience in risk policy or related fields.
• Knowledge of fraud detection and identity verification.

Responsibilities

• Develop fraud risk policies for consumer lending products.
• Utilize analytical techniques to build fraud risk strategies.

Skills

Analytical Skills

Business Acumen

Communication

Data Analysis

Education

Bachelor's Degree in Statistics

Master's Degree in Data Science

Tools

SQL

Excel

Python

R

Data Visualization Tools

Job description

As part of our commitment to preventing fraud across all consumer lending products, we are expanding our Fraud Policy team, which utilizes cutting-edge AI technology to detect and prevent fraud while minimizing impact on good customers. As a Risk Policy Lead, you will collaborate with Risk Operations, Data Science, Product, Engineering, and Compliance teams to design and implement fraud mitigation risk strategies. If you're passionate about solving real customer problems through decision science and analytics, we welcome you to join our talented team.

Responsibilities

1. Develop fraud risk policies for our innovative consumer lending products, focusing on fraud detection and prevention for new money movement products and features.
2. Create end-to-end risk policies and drive alignment with cross-functional stakeholders.
3. Manage fraud risk aspects of business initiatives and respond to fraud-related events and demands.
4. Utilize advanced analytical techniques to analyze large-scale account and transactional data to build and optimize fraud risk strategies and policies, translating insights into actionable business plans.
5. Lead the full cycle of risk strategy and policy work, including identifying opportunities, developing and testing policies, launching to production, and monitoring performance.
6. Build expertise in different types of risks associated with money movement offerings to balance risk mitigation with growth.
7. Collaborate with data scientists, risk operations, product, data engineering, and analytics teams to drive customer segmentation, develop innovative risk strategies, and perform portfolio analyses.
8. Evaluate third-party data providers to address risks such as stolen identities and account takeover.
9. Design, implement, and monitor testing methodologies to explore new approaches and estimate key metrics for risk strategies.
10. Exercise good judgment, think creatively and strategically in risk management.

Minimum Qualifications

1. Strong business acumen and analytical skills, with 4+ years of relevant experience and a bachelor's degree in Statistics, Mathematics, Finance, Data Science, or related fields; or MS/PhD with 2+ years of relevant experience.
2. Preferred experience in Fintech and fraud risk within consumer lending.
3. Knowledge of risk policy fundamentals for consumer loans and line of credit, including fraud detection and identity verification.
4. Experience designing experiments and leveraging data-driven insights to solve business problems.
5. Proficiency in SQL, Excel, Python, R, and data visualization tools; familiarity with big data technologies like Hive and Hadoop is a plus.
6. Excellent communication skills, capable of storytelling with data to influence stakeholders and build consensus.
7. Ability to thrive in a fast-paced environment, remaining responsive and decisive during peak fraud activity periods.
8. Passion for data analysis and curiosity to understand complex business issues, proactively seeking opportunities and driving innovation.