Model Validation Quantitative Analyst (Generative AI/Agentic AI)

Tasks

The Model Validation - Quantitative Analyst is a key member of the Model Risk Management team and is responsible for conducting independent technical validations of non-financial (e.g., compliance, machine learning/artificial intelligence/generative AI) and financial (e.g., stress testing, liquidity/ALM, credit risk, market risk, investment/research) models. Responsibilities include:

• Testing of model assumptions, validity, implementation, adequacy of input data, model parameters, and the accuracy of their calibration
• Conducting model risk assessments
• Identification and assessment of model limitations, as well as evaluation of the overall risk of new and existing models
• Preparation and delivery of high-quality model validation reports to demonstrate robust, challenge- and risk-based validation results
• Monitoring and reviewing model risk mitigation activities and ensuring compliance with model validation requirements

Requirements

The following requirements apply to this position:

• Advanced degree in a quantitative field (artificial intelligence, mathematics, engineering, quantitative finance); master’s or doctoral level; FRM or PRM certification is a plus
• Extensive knowledge and, preferably, at least 2 years of experience with non-financial models (e.g., machine learning, artificial intelligence, generative AI / agentic AI)
• Experience with financial models (e.g., liquidity/ALM, stress testing, IRRBB, market risk, credit risk, investment/research/ESG) would be an advantage
• Programming experience in languages such as Python, R, and SQL
• Ability to work independently, taking the initiative to define the scope of validation, design independent technical tests, and clarify and report results
• A results-oriented individual with outstanding interpersonal skills and excellent written and verbal communication skills in English (German is a plus)
• Customer-focused and able to communicate effectively with business partners and explain complex topics to a diverse audience

We offer

The specific benefits are not listed, but interested applicants are encouraged to submit their complete application via the online application tool. Additional interesting job openings can be found on the careers page.