Senior Fraud Strategy Analyst

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Fraud Strategy Analyst in United States.

This role offers a unique opportunity to design, implement, and optimize fraud prevention strategies for lending products in a fast-paced, data-driven environment. You will analyze trends, identify risks, and develop actionable strategies that directly reduce fraud losses and improve customer experience. The position involves end-to-end ownership of fraud mitigation processes, from predictive modeling and A/B testing to reporting and cross-functional collaboration. You will work closely with product, engineering, operations, and risk teams, leveraging internal and external data to create scalable, impactful solutions. This is a high-visibility role where your insights and strategies influence both operational performance and long-term business growth. Ideal candidates are analytical problem-solvers with strong communication skills, capable of translating complex data into clear, actionable recommendations.

• Design, develop, and optimize fraud strategies for personal loans and student loan refinance products.
• Monitor portfolio performance to identify emerging fraud trends, risks, and opportunities for process optimization.
• Develop and deploy fraud rules using segmentation, statistical analysis, predictive modeling, and experimentation frameworks.
• Own end-to-end fraud mitigation processes, including accountability for loss reduction and overall performance outcomes.
• Build dashboards and reporting tools to track KPIs such as fraud rate, approval rate, and false positives.
• Collaborate with cross-functional teams and external vendors to implement fraud solutions and enhance detection capabilities.
• Communicate insights, strategy performance, and model behavior clearly to stakeholders and senior leadership.

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Requirements

• Bachelor’s degree in a quantitative field such as Statistics, Engineering, Analytics, or Economics; Master’s preferred.
• 4+ years of experience in fraud risk, credit risk, or customer risk management within financial services or fintech.
• 3+ years of hands-on experience with SQL, Python, or R for data analysis and modeling.
• Proven experience designing and implementing fraud strategies for unsecured lending products.
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Effective communication skills and experience influencing cross-functional stakeholders.
• Self-starter with high ownership, curiosity, and adaptability.
• Nice to have: experience with machine learning models, familiarity with fraud typologies, knowledge of regulatory frameworks, experimentation frameworks, and modern data stack tools such as dbt, Snowflake, and Looker.

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Benefits

• Competitive salary range: $124,000 – $155,000 USD, depending on experience, location, and qualifications.
• Health, dental, and vision coverage, plus savings plans.
• 401(k) plan with company match and stock options (RSUs) or Employee Stock Purchase Plan.
• Mac computer, work-from-home stipend, and monthly internet/phone reimbursement.
• Generous PTO and parental leave policies.
• Tuition reimbursement programs and professional development opportunities.
• Annual $1,000 travel perk to celebrate work anniversaries.
• Inclusive, collaborative, and mission-driven company culture with strong focus on diversity, equity, and belonging.