Risk Management - Wholesale Credit Risk Executive Director

JPMorganChase•Jersey City, NJ

11d

About The Position

Bring your Expertise to JPMorgan Chase. 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 real-world 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 best-in-class. As an Executive Director on our Quantitative Modeling team, you will be responsible for developing, implementing, and overseeing models for pricing of credit, rates and hybrid, credit risk and capital requirements across a range of financial products. You will use your deep technical expertise, strategic vision and proven leadership in managing complex modeling projects and teams.

Requirements

Master’s degree in Quantitative and Computational Finance, Engineering, Statistics, Physics, Mathematics, or related field from a top research university.
10+ years of experience in quantitative modeling, credit risk, or related fields within financial services.
Demonstrated leadership in managing quantitative teams and large-scale modeling projects.
Deep expertise in pricing models for fixed income products, risk neutral pricing, and advanced numerical techniques (e.g., Markov chain, Monte Carlo, optimization).
Strong programming skills in Python (object-oriented), Pandas, Numpy, and experience with machine learning tools.
Experience with regulatory frameworks, risk analytics, and high-performance computing.
Excellent communication and presentation skills; ability to engage senior stakeholders and explain complex concepts.
Proven ability to manage multiple priorities and drive results in a dynamic environment.
Experience with pricing and risk models for loans, bonds, credit derivatives, and synthetic risk transfers.
Blending machine learning techniques (clustering, tree models, random forests) with econometric modeling of time series and panel data.
Writing technical model documentation and ensuring robust model governance.

Nice To Haves

PhD preferred

Responsibilities

Lead, mentor, and develop a high-performing team of quantitative modelers, fostering innovation and collaboration.
Set strategic directions for model development, calibration, and validation, ensuring alignment with business objectives and regulatory requirements.
Oversee the feasibility assessment, data enrichment, and statistical/machine learning calibration for model development.
Direct the creation and implementation of model prototype frameworks to forecast macro-sensitivity and performance metrics.
Serve as the primary point of contact for senior management, business leads, risk managers, and regulators regarding model performance, applicability, and impact.
Guide the explanation and communication of model credit costs, risk metrics, and business impacts to stakeholders.
Lead discussions and drive development of new model frameworks for complex financial instruments, including SRTs, CDOs, and bespoke products.
Manage multiple projects and initiatives simultaneously, ensuring timely delivery and robust documentation.
Oversee model governance, including documentation, regulatory compliance, and audit readiness.
Champion the adoption of advanced quantitative techniques, including Monte Carlo simulations, machine learning, and high-performance computing.
Evaluate talent for new positions and match new hires’ skills with project needs; mentor junior team members.