Note: The job is a remote job and is open to candidates in USA. Rate is building a diversified consumer lending platform spanning home equity, personal loans, point-of-sale financing, and future consumer credit products. The Fraud Analytics Manager will apply data analytics, machine learning, and advanced analytics to fraud and identity risk, develop scalable fraud decision strategies, and improve fraud performance while minimizing customer friction.
Responsibilities
- Monitor and analyze key fraud metrics—loss rates, capture rates, false-positive rates, approval and funding impact, vintage and segment KPIs, and disposition mix—to spot emerging trends and areas of weakness across lending products, acquisition channels, and customer segments
- Elevate the analytical framework and apply data, ML/AI models, and advanced analytics to continually strengthen fraud decision strategies
- Identify gaps in fraud capabilities across application, funding, and account/post-book fraud—covering identity, synthetic, first-party, third-party, account takeover, and APP scams
- Assess potential third-party solutions and capabilities to mitigate fraud and identity risk
- Recommend changes to verification standards and fraud decisioning to mitigate fraud risk
- Implement automated, score-based fraud decisioning that reduces reliance on manual review
- Develop modern fraud prevention strategies that enable fast, confident lending decisions while minimizing customer friction
- Improve conversion, funding speed, and customer experience through intelligent decision architecture that balances loss mitigation against volume, unit economics, and customer experience
- Evaluate emerging fraud trends and continuously strengthen fraud controls using data, technology, and third-party solutions
- Design challenger strategies and test-and-learn agendas that generate the data needed to improve fraud decisioning, evaluate potential solutions, and support new model development—ensuring each test can quantify the impact of strategy changes on fraud, approvals, funding, and downstream performance
Skills
- 5+ years of experience in fraud strategy, consumer risk strategy, or related functions within consumer lending
- Experience designing and implementing fraud strategies for digital consumer lending products, with a track record of delivering measurable improvements in fraud loss, approval rates, and customer experience
- Solid understanding of modern fraud decisioning, automated risk management, and digital lending operations
- Solid understanding of fraud typologies in consumer lending—identity, synthetic, first-party, third-party, account takeover, bust-out, never-pay, credit washing, APP scams, and income/employment misrepresentation—and how they manifest across application, funding, and account data
- Strong hands-on analytical and data skills, including proficiency in SQL and Python for data extraction, manipulation, and analysis
- Proven ability to harness large datasets and translate analytical insights into scalable business strategies that drive measurable outcomes
- Ability to leverage AI tools to improve efficiency and deepen analytical insight
- Comfort operating in a fast-paced, entrepreneurial environment where new ideas move quickly from concept to execution
- Experience in residential lending (mortgage or home equity) and unsecured lending (personal loans or credit card) is preferred
Company Overview