Senior Data Scientist - Risk
U.S. Remote
Applications have closed
Binance.US
Binance.US is the crypto trading platform for US residents where you can buy, sell, and trade cryptocurrencies and alt coins with some of the lowest fees in the US. Start trading in minutes.Binance.US, one of the most recognized brands in cryptocurrency, is looking for a Senior Data Scientist - Risk to join our growing Data organization and fight financial crimes while solving Risk & Compliance issues. You will be embedded into the Risk & Compliance Organization, working with and supporting the Risk, Compliance and Legal divisions on a day-to-day basis. The ideal candidate is a self-starter with a solid foundation in data science, plus experience in financial Risk Data Science. In addition, you excel in strategy, execution and delivery of key risk data science projects.
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 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 Permanentewww.aetna.com
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Computer Science Crypto Data analysis Economics Engineering Excel Finance Machine Learning Mathematics Python R Research SQL Statistics
Perks/benefits: Health care Startup environment
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