Data Science Manager Jobs In Dubai UAE 2023 - Binance

Description

Data Science Manager Jobs In Dubai UAE 2023 | BinanceFor More Top Organization Jobs ClickLaunched 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 and execute an effective strategy and roadmap for the Risk & Compliance Data TeamDevelop and foster a rigorous data-driven culture within the Risk, Compliance and Legal teamsConduct 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 risksDesign and analyze A/B experiments to evaluate the impact of changesWork with engineers to create new data signalDefine, measure and consistently improve all essential monitoring metrics for the Risk, Compliance and Legal teamsConceptualize and build/prototype models/solutions in R/Python focused on Financial Crime & Regulatory ComplianceEnsure accuracy, reliability and quality of data from a regulatory perspectiveProvide technical leadership to the rest of the Risk, Compliance and Legal teamsDesign and build tools for the Risk, Compliance and Legal teams that help to automate processes and facilitate smart decision makingEnsure regular delivery of ad-hoc analysis and fulfillment of requests from the Risk, Compliance and Legal teams


Requirements:
5+ years prior experience in Financial Risk and 5+ years in Data Science/AnalyticsExperience with payment fraud, trading fraud, AML models, credit riskProficient with SQL and expertise with R or PythonExperience in designing and developing compelling data visualizations and dashboardsExcellent understanding of Risk Analytics with a growth point of view and deep knowledge from the product data science/analytics needsAbility to translate complex data into actionable insights for a non-technical audienceExperience in a high-growth tech environmentA deep understanding of statistical concepts

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