Senior Data Scientist Risk

Binance.US logo Binance.US

Job Description

Launched in 2019, BAM Management US Holdings Inc. d/b/a Binance.US ("Binance.US") is the fastest growing and most integrated digital asset marketplace in the United States, powered by matching engine and wallet technologies license from the world’s largest cryptocurrency exchange - Binance. Our mission is to provide liquidity, transparency, and efficiency to financial markets by creating products that leverage crypto to unlock the power of everything. We build bridges between traditional finance and digital markets that enable growth for all—empowering the future of finance. Binance.US is operated by BAM Trading Services.


    • Build ML Based Fraud and Risk models to reduce risk related loss and increase pass rate
    • Develop and foster a rigorous data-driven culture within the Risk & Compliance teams
    • Conduct research and deep-dive data analysis to find different areas of identified and unidentified risks to quantify exposure and suggest data-driven mitigation insights to reduce risks
    • Design and analyze A/B experiments to evaluate the impact of changes and the risk models deployed
    • Create new risk signals that would result in detecting fraud, transaction monitoring and identifying malicious trading activity
    • Define, measure and consistently improve all essential monitoring metrics for the Risk & Compliance
    • Conceptualize and build/prototype models/solutions in R/Python focused on Financial Crime & Regulatory Compliance
    • Provide technical leadership to the rest of the Risk & Compliance teams
    • Design and build tools for the Risk team that help to automate processes and facilitate smart decision making
    • Conducting ad-hoc analysis to identify and mitigate risk and fraud
    • Collaborate with other teams like product to ensure swift implementation of risk modules


    • 3+ years prior experience in Financial Risk
    • 4+ years in Data Science/Analytics
    • 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
    • Bachelor degree in Computer Science, Statistics, Economics, Mathematics, Operation Research, Engineering is preferred
    • Prior experience at a tech company is a plus

Binance.US is an Equal Opportunity Employer. Our mission is to give Americans 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 or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. 


Binance.US complies with Federal Transparency in Coverage regulations by providing this 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.

Kaiser Permanente



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