Job description

About Binance.US: Binance.US is a licensed and regulated U.S. cryptocurrency exchange where users can buy, trade, hold, and earn digital assets. Recognized as a top U.S. crypto platform by Forbes (Best Crypto Exchanges of 2026) and Business Insider (Best Crypto Exchanges of 2025), Binance.US binance.us leads the industry with its low fees, advanced trading engine, strong security and reliability, and robust compliance framework. Learn more at www.binance.us binance.us. All roles supporting Binance.US binance.us are employed via BAM Management US Holdings Inc. or BAM Management Canada Holdings Inc. About This Role: As a Senior Data Analyst, Risk at Binance.US binance.us, you will be the data engine behind how we understand and reduce financial loss. You will own the analysis of payment and chargeback data end to end, digging into what actually drives net loss and turning that into changes that ship. This is a hands-on, high-impact role. You will break down fraud and loss by driver, investigate emerging trends, design experiments to test risk rule changes, and build the monitoring that keeps the Risk & Compliance team ahead of new threats. You will work closely with Risk, Payments, and Product to make sure your insights become real fixes, not just dashboards. This role is a strong fit if you think naturally about where loss leaks in and how to stop it, you are comfortable moving fast in a lean environment, and you like owning a problem from raw data all the way to measurable impact. Core 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 Preferred Skills/Experience: - 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 Salary: The starting pay range for this role will vary, and is dependent upon many factors, such as transferable skill sets, work experience, business needs, and market demands. The base pay range is subject to change. Our Mission: At Binance.US binance.us, our mission is to create a more inclusive financial system through Web3 technologies. As a U.S. regulated crypto platform, we’re committed to earning trust through compliance and empowering people to do more with their money, bringing financial freedom within reach for all. Our Values: Our values shape how we work, make decisions, and support our users every day: - Act with Integrity: We do what’s right, even when no one is watching. - Be Collaborative: We work together with respect and transparency to achieve shared goals. - Customers First: We listen to, advocate for, and prioritize our users in every decision we make. - Do the Work: We take ownership, follow through, and deliver results that move the mission forward. - Embrace Change: We stay adaptable and curious, thriving in a fast moving industry. Our Benefits: We believe in supporting our people with flexibility, balance, and opportunities to grow. One of the ways we demonstrate this commitment is through our benefit offerings. - Time Off: Unlimited PTO (for salaried FTE roles). - Well-Being: Mental wellness benefits; free 1:1 virtual visits with a licensed mental wellness professional; comprehensive competitive health benefits. - Remote-First Culture: Fully remote, cameras-on culture with work-from-home equipment reimbursements available to new hires. - Professional & Financial Growth: Annual professional development budget; free 1:1 virtual visits with a career coach; 401k plan with employer match. BAM Management US Holdings Inc. and BAM Management Canada Holdings Inc. are Equal Opportunity Employers and comply with all applicable federal, state, and local fair employment practice laws. Our mission is to give our customers access to a broad array of digital assets, and we thrive because of the diverse and inclusive team that we are building. We do not discriminate against qualified employees, applicants, or any other covered persons because of race, color, religion, creed, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, veteran status, physical disability, mental disability, medical condition, military status, or any other applicable legally protected characteristic. Depending on your location, data privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here binance.us. By submitting your application, you are agreeing to our use and processing of your data as required. We comply with Federal Transparency in Coverage regulations by providing a link to machine readable files related to the health plans offered to our employees. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data including negotiated service rates, and out-of-network allowed amounts between health plans and healthcare providers.

Requirements

Must-haves

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
Ability to manage multiple initiatives simultaneously while maintaining analytical rigor and execution quality

Nice-to-haves

Experience in a high-growth tech environment; fintech or crypto a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlsqlpython

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

401k

Pto

Wellness

Professional Development