Data Science Manager Risk
Dubai, United Arab Emirates
Job Description
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\xe2\x80\x94empowering the future of finance. Binance.US is operated by BAM Trading Services. Objectives
Requirements
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.
- 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.
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 Permanente
www.aetna.com
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Job Detail
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Job IdJD1517071
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationDubai, United Arab Emirates
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EducationNot mentioned