Senior Data Analyst, Risk
Binance.US · Remote · Shanghai · U.S. · Canada · Toronto ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Senior Data Analyst
- Fully remote (US/Canada)
- Risk & Fraud Analytics
- SQL + Python/R
- Unlimited PTO
As a Senior Data Analyst in Risk, you will drive the understanding and reduction of financial loss by analyzing payment and chargeback data end-to-end. You will identify drivers of net loss, design experiments to test risk rule changes, and build monitoring tools to keep the team ahead of emerging threats.
You will partner closely with Risk, Payments, and Product teams to ensure insights translate into shipped improvements rather than just dashboards. This hands-on role requires owning problems from raw data investigation to measurable impact in a fast-paced environment.
What you'll do
- Analyze user lifecycle activities from on-ramp payments to withdrawals to identify loss drivers
- Investigate fraud cases and user profiles to quantify exposure and backtest mitigation strategies
- Design and analyze A/B experiments to measure the impact of risk rule changes on loss and friction
- Break down net loss by driver such as fraud type, payment method, or user segment for monitoring
- Build and maintain dashboards with clear alerting for essential Risk and Compliance payment metrics
- Partner with cross-functional teams to turn analytical insights into implemented product changes
- Conduct ad-hoc analysis to quickly investigate and quantify emerging fraud and loss trends
What you'll need
- At least four years of experience in risk analytics
- Strong proficiency in SQL for data extraction and analysis
- Experience with Python or R for quantitative analysis and statistical modeling
- Hands-on experience with payment and chargeback data including reason codes
- Solid grasp of A/B testing principles, experiment design, and guardrails
- Strong data visualization skills and ability to create actionable dashboards
- Ability to translate complex data findings into clear insights for non-technical stakeholders
- Strong statistical foundation and analytical rigor
Nice to have
- Experience leveraging machine learning techniques to detect fraud patterns
- Background in high-growth tech environments, fintech, or cryptocurrency sectors
- Ability to manage multiple initiatives simultaneously while maintaining quality
Stack
- SQL
- Python
- R
How you'll work
- Fully remote work environment
- Cameras-on culture for virtual collaboration
- Work-from-home equipment reimbursements provided
- Employed via BAM Management US Holdings Inc. or BAM Management Canada Holdings Inc.
What you get
- Unlimited paid time off for salaried full-time employees
- Comprehensive competitive health benefits
- Mental wellness benefits including free virtual visits with licensed professionals
- Annual professional development budget
- Free one-on-one virtual visits with a career coach
- 401k plan with employer match