Quant Modelling - Vice President
Quant Modelling - Vice President
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Job Description
As part of Risk Management and Compliance you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgement to solve realworld challenges that impact our company customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box challenging the status quo and striving to be bestinclass.
MRGR is a global team of modeling experts within the firms Risk Management and Compliance organization.The team is responsible for conducting independent model validation and model governance activities to help identify measure and mitigate Model Risk in the firm. The objective is to ensure that models are fit for purpose used appropriately within the business context for which have been approved and that model users are aware of the model limitations and how they could impact business decisions.
Being part of the MRGR team will put you at the center of the firms model validation and governance activities with exposure to a wide variety of model types and cutting edge modeling techniques while frequently interacting with the best and brightest in the firm. You will expand your knowledge of the different forecasting models used in the firm their unique limitations and use that knowledge to help shape business strategy and protect the firm.
The successful candidate will head the MRGR Data Science Group in Bangalore managing a team of junior reviewers. This group will perform the following model risk management activities for Data Science models in the firm:
- Set standards for robust model development practices and enhance them as needed to meet evolving industry standards
- Evaluate adherence to development standards including soundness of model design reasonableness of assumptions reliability of inputs completeness of testing correctness of implementation and suitability of performance metrics
- Identify weaknesses limitations and emerging risks through independent testing building of benchmark models and ongoing monitoring activities
- Communicate risk assessments and findings to stakeholders and document in high quality technical reports
- Assist the firm in maintaining (i) appropriateness of ongoing model usage and (ii) the level of aggregate model risk within risk appetite
Minimum Skills Experience and Qualifications:
We are looking for someone excited to join our organization. If you meet the minimum requirements below you are encouraged to apply to be considered for this role.
- A Ph.D. or Masters degree in a Data Science oriented field such as Data Science Computer Science or Statistics is required
- 7 years of experience in a quantitative modeling role such as Data Science Quantitative Model Development Model Validation or Technology focused on Data Science including handson experience with building/testing Machine Learning models
- Domain expertise in following areas: Data Science Machine Learning and Artificial Intelligence. Knowledge and experience in database interfacing and analysis of large data sets is a plus
- 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
- Proven managerial experience or demonstrated leadership abilities with a track record of successfully leading and managing quantitative teams
- Proficiency in Python programming with experience in the Python machine learning library and ecosystem including NumPy SciPy Scikitlearn Pandas TensorFlow Keras and PyTorch
- Understanding of the machine learning lifecycle feature engineering training validation scaling deployment scoring monitoring and feedback loop
- Strong communication skills verbally and particularly in writing with the ability to interface with other functional areas in the firm on modelrelated issues and write high quality technical reports
- Risk and control mindset: ability to ask incisive questions assess materiality of model issues and escalate issues appropriately
Required Experience:
Chief
Employment Type
Full-Time
