Senior Data Scientist 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.

Responsibilities
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

Requirements
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.

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