Model Validation Quantitative Analyst (Generative AI/Agent-based 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, robustness, implementation, the appropriateness of input data, model parameters, and the accuracy of their calibration
• Conducting model risk assessments
• Identification and assessment of model limitations and 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

Requirements

The following requirements apply to this position:

• Advanced degree in a quantitative field (artificial intelligence, mathematics, engineering, quantitative finance); master’s or PhD level; FRM or PRM certification is a plus
• In-depth knowledge and, preferably, at least 2 years of experience with non-financial models (e.g., machine learning, artificial intelligence, generative AI / agent-based 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, with the capacity to take initiative, 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

No information available.