Model Risk Methodologies - VP
Mumbai, India | Global Securities, Investment and Retail Banking Firm
Job Description:53 people have viewed this job
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
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
PhD or Master’s degree or equivalent from top tier schools/programs in Mathematics, Mathematical Finance, Computer Science, Physics, or Engineering
Experience in model validation and understanding of model risk
Experience with object oriented design
Machine learning experience