AI / ML Model Validation Analyst

Job Description

Role Description The Risk division plays a critical role in identifying and managing a wide range of risks to which Deutsche Bank is exposed as part of its global operations from credit and market risks to non-financial risks. As an integral part of this division, Model Risk Management (MoRM) is tasked with performing independent model validation and actively managing model risk at a global level in line with Deutsche Banks risk appetite. Its teams are located in Mumbai, Frankfurt, Berlin, London and New York. Assigned to the AI/ML Validation unit in Mumbai, you will focus on developing and maintaining a central modelling and validation service covering all AI/ML Models. We have been investing heavily in digital technology and infrastructure with the aim of making Deutsche Bank more efficient, more resilient and less complex. This is your opportunity to make a valuable contribution and help drive our business forward in a fast-paced environment. Your key responsibilities Review and analyse Machine Learning and Artificial Intelligence models applied across various business use cases in banks. Understand the ML or AI models and implementation methods used, where appropriate, verify models and their conceptual soundness, propriety of implementation and assess the assumptions, limitations and weaknesses of the model in context of the business and the control environment surrounding the business. Communicate outcomes of your review and analysis with key model stakeholders including business stakeholders, model developers and divisional control officers. Actively engage with the due diligence aspects of the new model approval process and Bank wide strategic initiatives Work on developing validation methods and automation, where possible. Your skills and experience Minimum 6 months - 2 years of experience in the relevant field Educated to Graduate / Masters level or equivalent qualification/ relevant work experience in a numerate subjects such as Data Science Mathematics, Statistics, Machine Learning, Physics or Engineering Some experience in a model validation or model development roles preferably in the AI/ML space. Excellent mathematical / statistical abilities and an understanding of the platforms like GCP, AWS, AZURE etc. Experience evaluating or validating Large Language Models (LLMs) and/or their output is an added advantage. Knowledge of Banking and Financial Industry is an added advantage. Excellent communication skills, both written and verbal Ability to author structured and concise validation reports. Fluent in English (written and spoken).