Quant Modeling - Associate/Vice President

Are you seeking an exciting opportunity to become a part of a dynamic and expanding team within a fast-paced and challenging environment As a Quant Modelling Associate within our Risk Management and Compliance team at JPMorgan Chase, you will have a crucial role in upholding the strength and resilience of the organization. Your main responsibilities will involve anticipating emerging risks and utilizing your expertise to address challenges that impact the company, its customers, and the communities it serves. You will be an integral part of the Model Risk Governance and Review (MRGR) team, which is accountable for conducting independent model reviews and governance activities to effectively manage Model Risk. Specifically, MRGR Trading focuses on valuation and risk-management models utilized within the Corporate & Investment Bank, with a particular emphasis on Derivatives Instruments that involve complex and advanced modeling techniques. Your key responsibilities will include: Model Review: - Assessing the conceptual soundness of model specifications, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability of performance metrics and risk measures. - Conducting independent testing of models by replicating or creating benchmark models. - Designing and executing experiments to evaluate the potential impact of model limitations, parameter estimation errors, and deviations from model assumptions; comparing model outputs with empirical evidence or outputs from model benchmarks. - Documenting the findings of the model review and effectively communicating them to stakeholders. Model Governance: - Acting as the primary point of contact for model governance-related queries within the coverage area and facilitating the identification and escalation of issues to ensure timely and effective resolutions. - Providing guidance on the proper usage of models to model developers, users, and other stakeholders within the firm. - Staying informed about the ongoing performance testing results for models utilized in the coverage area and communicating these outcomes to stakeholders. - Maintaining the model inventory and model metadata for the coverage area. - Keeping abreast of the latest developments within the coverage area in terms of products, markets, models, risk management practices, and industry standards. Required qualifications, capabilities, and skills: - PhD or Masters degree in a quantitative discipline such as Math, Physics, Engineering, Computer Science, Economics, or Finance. - Proficiency in probability theory, stochastic processes, statistical/economic modeling, partial differential equations, and numerical analysis. - Understanding of options and derivative pricing theory and risks. - Proficient in Python, R, Matlab, C++, or other programming languages. - Possess a risk and control mindset with the ability to ask insightful questions, assess the significance of model issues, and escalate them appropriately. - Strong communication skills enabling effective interaction with front office traders and other functional areas within the firm on model-related matters; capable of producing documents for internal and external (regulatory) purposes. - Strong analytical and problem-solving abilities.,