Note: The job is a remote job and is open to candidates in USA. Binance.US is a licensed and regulated U.S. cryptocurrency exchange where users can buy, trade, hold, and earn digital assets. As a Senior Data Analyst, Risk, you will be responsible for analyzing payment and chargeback data to understand and reduce financial loss, collaborating closely with various teams to implement effective risk management strategies.
Responsibilities
- Own the analysis of user lifecycle on-platform activities from on-ramp payment (ACH/Card related), trading, to withdrawal end to end: understand what drives anomalies and net loss, surface the levers to mitigate
- Deep-dive into fraud cases and user profiles to quantify exposure, design and backtest strategies/models to manage exposures
- Design and analyze A/B experiments to measure the impact of risk rule and process changes on loss, pass rate, and customer friction
- Good plus on leveraging ML techniques to surface patterns in fraud and loss data that manual analysis would miss
- Break down net loss by driver (fraud type, payment method, user segment) and track it as a core monitoring metric
- Build and maintain dashboards and monitoring for all essential Risk & Compliance payment metrics, with clear alerting when trends move
- Partner closely with Risk, Payments, and Product teams to turn analysis into shipped changes
- Run ad-hoc analysis to investigate emerging fraud and loss trends and quantify their impact fast
Skills
- Own the analysis of user lifecycle on-platform activities from on-ramp payment (ACH/Card related), trading, to withdrawal end to end: understand what drives anomalies and net loss, surface the levers to mitigate
- Deep-dive into fraud cases and user profiles to quantify exposure, design and backtest strategies/models to manage exposures
- Design and analyze A/B experiments to measure the impact of risk rule and process changes on loss, pass rate, and customer friction
- Good plus on leveraging ML techniques to surface patterns in fraud and loss data that manual analysis would miss
- Break down net loss by driver (fraud type, payment method, user segment) and track it as a core monitoring metric
- Build and maintain dashboards and monitoring for all essential Risk & Compliance payment metrics, with clear alerting when trends move
- Partner closely with Risk, Payments, and Product teams to turn analysis into shipped changes
- Run ad-hoc analysis to investigate emerging fraud and loss trends and quantify their impact fast
- 4+ years in risk analytics
- Strong SQL, plus 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; fintech or crypto a plus
- Ability to manage multiple initiatives simultaneously while maintaining analytical rigor and execution quality
Benefits
- Unlimited PTO (for salaried FTE roles)
- 12 weeks fully paid Parental Bonding Leave
- Mental wellness benefits
- Free 1:1 virtual visits with a licensed mental wellness professional
- Comprehensive competitive health benefits
- Fully remote, cameras-on culture with work-from-home equipment reimbursements available to new hires
- Annual professional development budget
- Free 1:1 virtual visits with a career coach
- 401k plan with employer match
Company Overview
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