Model Risk Quantitative Analyst
Quantitative Analyst - Model Risk
A globally recognised financial institution is seeking a skilled Quantitative Analyst to join its Model Risk function within the Enterprise Risk team. This is a fantastic opportunity to contribute to the independent validation of complex financial models and play a key role in maintaining robust risk governance across the EMEA region.
About the Team
The Model Risk team is responsible for overseeing model governance and conducting validations across a wide range of model types. The team collaborates closely with quantitative developers, risk analytics, and front office teams to ensure models are accurate, compliant, and aligned with industry standards.
Role Overview
This role involves validating ment of challenger models. The position also includes preparing validation reports and tracking remediation efforts.quantitative models used for pricing, risk measurement, and capital calculations. You'll independently assess model design, assumptions, and implementation, and contribute to the develop
Key Responsibilities
- Perform independent validations of models across asset classes
- Develop and test challenger models to benchmark performance
- Review model assumptions, data inputs, and numerical implementations
- Ensure compliance with internal governance and regulatory expectations
- Document findings and provide actionable recommendations
- Monitor progress on model improvements and issue resolution
What We're Looking For
- Experience in model development or validation, ideally in:
- Market risk
- Counterparty credit risk
- Derivatives pricing
- Strong quantitative background with knowledge of probability, statistics, and financial mathematics
- Proficiency in Python, R, or similar programming languages
- Familiarity with simulation techniques and numerical methods
- Understanding of financial instruments and risk modelling practices
Nice to Have
- Exposure to capital models or corporate credit risk models
- Experience with AI/ML models
- Programming experience in C++ or C#
- Awareness of regulatory frameworks for market and credit risk
Education & Attributes
- Postgraduate degree in a quantitative field (e.g., mathematics, statistics, econometric)
- Analytical mindset with strong attention to detail
- Excellent communication skills, both written and verbal
- Ability to explain complex technical concepts clearly
- Proactive and solution-oriented approach
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