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Binance
This job is closed
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
- Relocation to Dubai is required