Data Science Careers at Binance
There are 164 Web3 Jobs at Binance
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Bondex Ecosystem
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Toronto, Canada |
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Binance | Dubai, United Arab Emirates |
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Binanance | Toronto, Canada |
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Binance | Hong Kong, Hong Kong |
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| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Binance | Dubai, United Arab Emirates |
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Binance | Asia |
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Binance | Europe |
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Binance | Remote |
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Binance | Singapore, Singapore |
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Binance | Asia |
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Binance | Asia |
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Binance | Asia |
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Binance | South East Asia |
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Binance | Singapore, Singapore |
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Binance | Canada |
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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