Quant Modeling Lead - Model Risk Governance Review - Vice President
About The Position
As a Vice President on JPMorgan Chase’s Model Risk Governance Review (MRGR) Asset Management team, the Quant Modeling Lead owns assigned model reviews, develops benchmark tools for independent testing, and assesses ongoing model performance in the Asset Management business context. The role applies technical expertise and intellectual rigor to evaluate conceptual soundness, assumptions, implementation, and risks arising from individual models and model-to-model interactions. As an individual contributor, the role produces high-quality validation reports, provides effective independent challenge to model developers and users, and communicates material findings and limitations to senior stakeholders. The position collaborates with colleagues across locations and supports the firm’s objective of ensuring models are fit for purpose, appropriately used in their approved business context, and accompanied by an understanding of their limitations and potential effects on business decisions. MRGR is a global team of modeling experts within Risk Management and Compliance that conducts independent model validation and governance activities to identify, measure, and mitigate model risk.
Requirements
- PhD or Master’s degree in a quantitative field such as Mathematics, Physics, Engineering, Computer Science, Economics, or Finance.
- At least 3 years of experience in model validation or front-office model development roles.
- Strong verbal and written communication skills, including the ability to interface with other functional areas on model-related issues and write high-quality technical reports.
- Deep understanding of pricing and risk management models, including derivative pricing and stochastic calculus.
- Deep understanding of standard statistical techniques used in testing.
- Ability to implement benchmarking models in Python, R, or an equivalent language.
- Risk- and control-oriented mindset, including the ability to ask incisive questions, assess the materiality of model issues, and escalate issues appropriately.
- Strong project management and organizational skills, with flexibility and adaptability to shifting priorities.
- Ability to work in a fast-paced, results-driven environment.
Nice To Haves
- Prior experience developing, validating, or working with models used in Asset Management, including factor models for alpha generation and risk measurement, portfolio optimization, securities and derivative pricing and risk analytics, VaR, or counterparty credit.
- Hands-on experience with standard machine learning models, including Boosted Trees, Neural Networks, SVM, and LLMs such as BERT.
- Experience with dedicated machine-learning packages such as TensorFlow or similar, and data-processing and numeric-programming tools such as NumPy, SciPy, and Pandas.
Responsibilities
- Assess Asset Management models against robust model development and testing standards, and contribute to enhancements in validation practices.
- Independently evaluate model design soundness, assumption reasonableness, input reliability, testing completeness, implementation correctness, and the suitability of performance metrics.
- Identify weaknesses, limitations, and emerging risks through risk assessments, hands-on independent testing, development and implementation of benchmark models, and evaluation of ongoing monitoring.
- Own assigned model risk assessments, prepare high-quality validation reports, and communicate findings, limitations, and business implications to senior internal and external stakeholders as appropriate.
- Support model-related audits and regulatory examinations by explaining review conclusions and providing clear supporting analysis and documentation.
- Stay informed about industry best practices, regulatory developments, and modeling advancements relevant to Asset Management, and incorporate them into independent assessments and validation methodologies.
- Manage assigned review deliverables and priorities independently, collaborating with model developers, users, and MRGR colleagues to resolve findings and escalate material issues appropriately.
- Deliver complex quantitative work independently and collaborate effectively across locations and geographic time zones.
- Engage with senior business stakeholders and model developers and challenge them effectively.
Benefits
- Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
- Reasonable accommodations for religious practices and beliefs, and mental health or physical disability needs.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
