
Data Scientist for Risk Management
2 weeks ago
We are seeking a skilled Data Scientist to join our team in the field of risk management. The ideal candidate will have expertise in designing, planning, and implementing workflows and tools to improve daily cleaning and monitoring of stress testing data.
The successful candidate will be responsible for running stress tests, explaining outputs, getting into the numbers, and identifying what is right or wrong. They will also implement scenario expansion, conduct independent reviews of current processes, identify gaps, and design controls to remediate.
Furthermore, the Data Scientist will coordinate with risk technology stakeholders and other teams to ensure project outcomes are delivered. This includes preparing stress scenario inputs for Murex/Polypaths, loading stress scenario inputs into Murex/Polypaths, creating custom views, extracting data, and performing basic data analysis.
In addition, they will work with Murex/Polypaths IT on resolving any issues, supporting the implementation of new solutions, maintaining necessary project documentation, and supporting other areas over time for the risk teams.
- Required skills and qualifications include 5-8 years of experience in risk management space in Capital Markets with a good understanding of risk concepts, especially Market risk, risk calculations, processes, workflows, and data inputs for risk calculations such as market data, static data, and stress test data.
- Must have previous experience working as a Business Analyst for risk data change management assignments.
- Experience in Murex is mandatory, while exposure to Polypaths is desirable.
- Good knowledge of derivative products across asset classes and rich experience with database applications with proficiency in Python.
- Excellent communication and documentation skills to coordinate with business and technology stakeholders and team members.
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