| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Mumbai, India |
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Binance | Dubai, United Arab Emirates |
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Binance | Toronto, Canada |
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Binance | Dubai, United Arab Emirates |
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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 | Palo Alto, CA, United States |
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Binance | Dubai, United Arab Emirates |
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Binance | Vancouver, Canada | $110k - $125k | |||
Binance | Toronto, Canada |
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Binance | Vancouver, Canada |
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Binance | Vancouver, Canada |
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Binance | Vancouver, Canada |
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Binance | Asia |
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Binance | Mumbai, India |
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Binance | Toronto, Canada |
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Binance | Dubai, United Arab Emirates |
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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
What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.