JPMorgan Model Risk Analyst 

India, Karnataka, Bengaluru 

139973573

Jobresponsibilities:

• Engage in new model validation activities for all Data Science models in the coverage area - evaluate conceptual soundness of model specification; reasonableness of assumptions and reliability of inputs; fit for purpose; completeness of testing performed to support the correctness of the implementation; robustness of numerical aspects; suitability and comprehensiveness of performance metrics and risk measures associated with use of model.
• Conduct independent testing
• Perform additional model review activities ranging from proposed enhancements to existing models, extensions to scope of existing models.
• Liaise with Model Developers, Model Users, Risk and Finance professionals to provide oversight of and guidance on appropriate usage, controls around model restrictions & limitations, and findings for ongoing performance assessment & testing
• Maintain model risk control apparatus of the bank for the coverage area & serve as first point of contact
• Keep up with the latest developments in coverage area in terms of products, markets, models, risk management practices and industry standards

Required qualifications, capabilities, and skills
:

• Strong quantitative & analytical skills: The role requires a strong quantitative background based on a degree in a quantitative discipline such as Computer Science, Statistics, Data Science, Math, Economics or Math Finance. Masters (or equivalent) or PhD
• Strong understanding of Machine Learning / Data Science theory, techniques and tools including Transformers, Large Language Models, NLP, GANs, Deep Learning, OCR, XGBoost, and Reinforcement Learning
• Understanding of the machine learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop is an asset
• Proficiency in Python programming. Python machine learning library and ecosystem experience: Numpy Scipy Scikit-learn Theano TensorFlow Keras PyTorch Pandas
• Prior experience in following backgrounds (2 years desirable): Data Science, Quantitative Model Development, Model Validation or Technology focused on Data Science including hands on experience with building/testing machine learning models
• Excellent writing skills: previous experience in writing scientific text with the ability to describe evidence and present logical reasoning clearly.
• Strong communication skills and ability to interface with other functional areas in the bank on model-related issues
• Risk and control mindset: ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues