Senior Data Scientist, RIsk

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 leads the industry with its low fees, advanced trading engine, strong security and reliability, and robust compliance framework. Learn more at www.binance.us. All roles supporting Binance.US are employed via BAM Management US Holdings Inc. or BAM Management Canada Holdings Inc.

The Senior Data Scientist - Risk is part of the Data & Analytics team and reports to our Director of Product Analytics. As Senior Data Scientist - Risk, you will be responsible for development of advanced risk models to combat financial crimes and safeguard user funds. As project priorities evolve, you will have the opportunity to collaborate across different teams, including Risk, Compliance, Marketing, and Product, to drive data-driven insights and solutions that contribute to the growth and safety of the platform.

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  Build ML Based Fraud and Risk models to reduce risk related loss and increase pass rate.

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  Develop and foster a rigorous data-driven culture within the Risk & Compliance teams.

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  Design and analyze A/B experiments to evaluate the impact of changes and the risk models deployed.

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  Create new risk signals that would result in detecting fraud, transaction monitoring and identifying malicious trading activity.

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  Define, measure and consistently improve all essential monitoring metrics for the Risk & Compliance.

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  Provide technical leadership to the rest of the Risk & Compliance teams.

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  Design and build tools for the Risk team that help to automate processes and facilitate smart decision making.

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  Conducting ad-hoc analysis to identify and mitigate risk and fraud.

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  Collaborate with other teams like product to ensure swift implementation of risk modules.

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  Upon the completion of key Risk-related initiatives, collaborate across teams, including Marketing, and Product, to tackle a variety of high-impact projects, addressing business needs and priorities as they evolve.

• 6+ years in Data Science/Analytics and 3+ years prior experience in Financial Risk.

• Proficient with SQL and expertise with R or Python.

• Experience in building ML based Fraud and Risk models.

• Experience in designing and developing compelling data visualizations and dashboards.

• Excellent understanding of Risk Analytics and Fraud Models.

• Ability to translate complex data into actionable insights for a non-technical audience.

• Experience in a high-growth tech environment.

• A deep understanding of statistical concepts.

• Prior experience at a fintech company is a plus.

The starting pay range for this role is between AED50,000 - AED54,000 per month for all UAE-based remote locations. The actual base pay 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.