Data Science Manager Risk Full Time

About the job
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.

Objectives
Build and execute an effective strategy and roadmap for the Risk & Compliance Data Team
Develop and foster a rigorous data-driven culture within the Risk, Compliance and Legal teams
Conduct and oversee 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
Work with engineers to create new data signal
Define, measure and consistently improve all essential monitoring metrics for the Risk, Compliance and Legal teams
Conceptualize and build/prototype models/solutions in R/Python focused on Financial Crime & Regulatory Compliance
Ensure accuracy, reliability and quality of data from a regulatory perspective
Provide technical leadership to the rest of the Risk, Compliance and Legal teams
Design and build tools for the Risk, Compliance and Legal teams that help to automate processes and facilitate smart decision making
Ensure regular delivery of ad-hoc analysis and fulfillment of requests from the Risk, Compliance and Legal teams
Recruit, manage and mentor a team of motivated data scientists and analysts
Collaborate with other teams like finance and product to ensure growth and success of the product

Requirements
5+ years prior experience in Financial Risk and 5+ years in Data Science/Analytics
Experience with payment fraud, trading fraud, AML models, credit risk
Proficient with SQL and expertise with R or Python
Experience in designing and developing compelling data visualizations and dashboards
Excellent understanding of Risk Analytics with a growth point of view and deep knowledge from the product data science/analytics needs
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
Experience in recruiting data scientists/analysts
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.

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