Data Scientist - Banking Risk Modeling & Regulatory Insight
Deeplight
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Benefits offered by this job
Job summary
DeepLight AI in the United Arab Emirates seeks a Data Scientist with deep banking domain awareness to design, develop, and deploy robust statistical models and data-driven solutions for premier regional clients.
You will work across Treasury, Wholesale Banking, and Corporate Lending to translate complex financial challenges into production-ready models, while maintaining rigorous scientific and software engineering standards.
Qualifications
- Hands-on experience building statistical risk models in banking.
- Strong Python and data-science stack skills for production-ready models.
- Understanding of Basel III/IV, stress testing, and regulatory capital rules.
Responsibilities
- Design and implement statistical risk models for corporate lending, wholesale banking, and treasury operations.
- Develop RAROC and RAC frameworks to optimize risk-adjusted returns.
- Ensure models align with Basel III/IV and regulatory standards; document methodologies clearly.
- Collaborate with risk officers, business analysts, and tech leads to translate requirements into deployable solutions.
Skills
Education
Tools
Job description
DeepLight AI in the United Arab Emirates seeks a Data Scientist with deep banking domain awareness to design, develop, and deploy robust statistical models and data-driven solutions for premier regional clients.
You will work across Treasury, Wholesale Banking, and Corporate Lending to translate complex financial challenges into production-ready models, while maintaining rigorous scientific and software engineering standards.
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