Note: The job is a remote job and is open to candidates in USA. Raisin is the world's leading platform for savings and investment products, connecting consumers with banks to provide better interest rates. As a Senior Data Analyst - Fraud Strategy & Operations, you will drive the fraud defense system by conducting complex data analysis, building predictive models, and implementing fraud prevention strategies to safeguard the platform.

Responsibilities

• Conduct complex data analysis using SQL, Python and Feature Engineering to proactively identify emerging fraud patterns and system vulnerabilities before they impact the platform
• Design, test, and implement robust fraud prevention rules that successfully catch bad actors while maintaining a seamless experience for real customers
• Elevate Raisin US’s capabilities by introducing industry best practices, new methodologies, and innovative fraud prevention strategies that we aren't using today
• Build out data-driven dashboards to track fraud metrics, losses, and mitigation performance, presenting actionable findings directly to leadership
• Design, build, and deploy machine learning and predictive models utilizing Python to detect anomalies across the entire customer journey (onboarding, funding, and money movement)
• Develop model features based on identity, device, behavioral, and transactional data
• Partner closely with Product and Engineering to integrate these models into our real-time production pipelines
• Partner with the Compliance team to enhance customer risk profiling, transaction monitoring, and KYC/AML workflows
• Design low-friction, custom risk rules for identity verification, account takeover protection, and transaction monitoring
• Routinely stress-test current rules against changing regulatory standards and evolving financial crime tactics

Skills

• 8+ years of experience in fraud risk management, analytics, or financial crime specifically within fintech, retail banking, or digital payments
• Exceptional analytical capabilities are your biggest asset. You love diving into raw data to solve complex puzzles
• Highly proficient in SQL and Python for data manipulation, analytics, and building predictive models
• Experience building out fraud dashboards is a must
• Deep understanding of Deposits and ACH is required
• Proven track record of designing custom fraud rules and deploying machine learning or statistical models in a live environment
• Direct experience with modern instant payment systems like RTP and FedNow

Benefits

• Flexible working hours and up to 28 days PTO accrued from your first month, plus 13 public holidays.
• Employee Development Budget of $2,200 and 4 full training days per year.
• Company 401k contribution of 5%.
• Healthcare coverage contribution, including medical, dental and vision.
• Commuter benefits and flexible working from home policy.
• Regular team events and yearly Summer and Winter Party.

Company Overview