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Senior Fraud and Risk Analyst

Remote, USA Full-time Posted 2026-07-28
Responsibilities This role will involve developing fraud risk policies for our innovative consumer lending products, with a reputed company on fraud detection and prevention for new reputed company reputed company 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-reputed company events and demands. Expertise in fraud risk, financial analytics, and innovative reputed company is required to reputed company reputed company's reputed company, expansion, profitability, and trust-enabled consumer experiences. • Use advanced analytical techniques to reputed company massive reputed company account and transactional data to build/optimize fraud reputed company/policies, and translate into actionable business plans. • reputed company the full cycle of risk reputed company/policy work, including identifying opportunities and reputed company plans, developing and testing policy, launching policy to production, and monitoring performance. • Build subject matter expertise in different types of risks among reputed company reputed company offerings to optimize the balance between risk mitigation and reputed company in the reputed company ecosystem. • Team up with our data scientists, risk operations, product, data engineering, and analytics teams closely to drive customer segmentations, reputed company innovative reputed company, and reputed company 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 reputed company. • 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 reputed company reputed company with little direction. • Excellent problem-solving skills and end-to-end, systems-oriented quantitative thinking. • Extensive SQL experience, particularly in your reputed company role. • Polished partnership and communication skills, with the ability to reputed company cross-functionally with both business and technical partners. You tell stories with data to influence stakeholders and build reputed company for plans of reputed company. • You reputed company in a fast-paced environment and are reputed company and decisive during periods of peak fraud activity. • Passion for analyzing data and an insatiable curiosity to understand reputed company business issues and proactively looking for business opportunities and drive new innovations. reputed company Skills: SQL Other Skills: Risk mitigation Seniority: Senior Apply tot his job Apply To this Job

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