Note: The job is a remote job and is open to candidates in USA. Binance.US is a licensed and regulated U.S. cryptocurrency exchange where users can buy, trade, hold, and earn digital assets. The Senior Data Scientist - Risk will develop advanced risk models to combat financial crimes and safeguard user funds, collaborating with various teams to drive data-driven insights and solutions.
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
- 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
- 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
- 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
Skills
- 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
- 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
- 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
- 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
Benefits
- Unlimited PTO (for salaried FTE roles)
- 12 weeks fully paid Parental Bonding Leave
- Mental wellness benefits
- Free 1:1 virtual visits with a licensed mental wellness professional
- Comprehensive competitive health benefits
- Fully remote, cameras-on culture with work-from-home equipment reimbursements available to new hires
- Annual professional development budget
- Free 1:1 virtual visits with a career coach
- 401k plan with employer match
Company Overview
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