Senior Data Analyst, Risk
RemoteUnited States or China
Job Summary
Own end-to-end analysis of user lifecycle activities from on-ramp payments through trading and withdrawals to identify anomalies and net loss drivers. Deep-dive into fraud cases and user profiles to quantify exposure, design and backtest strategies, and leverage ML techniques to surface hidden patterns. Break down net loss by driver and track it as a core monitoring metric, while building dashboards with clear alerting for essential Risk & Compliance payment metrics. Design and analyze A/B experiments to measure the impact of risk rule changes on loss, pass rate, and customer friction. Partner closely with Risk, Payments, and Product teams to turn analysis into shipped changes and run ad-hoc investigations into emerging fraud trends.
Required Qualifications
- 4+ years in risk analytics
- Strong SQL
- Python or R for quantitative analysis, statistical modeling
- Hands-on experience with payment / chargeback data (reason codes, net loss attribution, etc)
- Solid grasp of A/B testing and experiment design (hypothesis, guardrails, readout)
- Strong data visualization and dashboarding skills
- Able to translate complex data into clear, actionable insights for non-technical stakeholders
- Solid statistical foundation
- Experience in a high-growth tech environment
- Ability to manage multiple initiatives simultaneously while maintaining analytical rigor and execution quality
Desired Qualifications
- fintech or crypto a plus
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