This position is a Quant profile to support the activities of the Quantitative Research Group (cross asset classes) & Model Risk Methodologies globally sitting out in Mumbai. The QR team in Mumbai plays a critical role in providing effective, timely and independent assessments of the Firm's booking models of exotic structures and also help in developing new models for structures as and when necessary.

CIB Quantitative Research (QR) provides quantitative support for the Investment Bank lines of businesses and key corporate areas. As we continue to transform our model risk management and model development practices across the coverage areas, the Model Risk Methodologies group is responsible for coordination across asset class-aligned QR groups on all model risk matters, including centralized model risk reporting, establishing consistent standards and practices, and building out common analytics and toolsets. Part of the wider QR organization, the group also has a significant outward facing role in its partnership with control functions such as Model Governance, Model Review, Market Risk, Valuation Control Group and with Technology. The team is seeking talented individuals to fill a variety of roles with quantitative, commercial, software development, governance, and control-oriented skillsets.

The primary responsibilities for this role will include:

- Developing common model risk metrics, monitoring, and diagnostics.

- Leveraging machine learning techniques for model risk anomaly detection.

- Developing new models for benchmarking existing ones.

- Helping drive requirements of the new model reporting framework.

- Working closely with other QR groups to implement consistent model risk practices across the groups.

- Participate in generating data or information in response to ad-hoc internal and external requests relating to model risk.

- Work as a key member of a team responsible for establishing new practices for model risk management

- Overall, the candidate will need to work closely with teams in Asia-Pacific and/or London and/or New York and will need to be proactive to improve desk efficiencies, access and learn J. P. Morgan's highly sophisticated solutions.

Required Skills:

- Knowledge of financial math and math modeling

- Excellent analytical and problem-solving skills

- Affinity with model validation or model governance

- Python or C++ software development with emphasis on numerical methods

- Good communication skills

- Ph.D. or Master's degree or equivalent from top tier schools/programs in Mathematics, Mathematical Finance, Computer Science, Physics, or Engineering.

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Tejashree Waradkar
Team Leader
Dir No: +91 22 66848569|Mob No .8454843560 /8850817160

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