Risk Management - Model Risk Program Associate

Testing Site - JPMC; New York (NY); Vor Ort; USD 140.000 - 190.000; Vollzeit

Zusammenfassung

JPMorganChase in New York seeks a Quant Model Risk Associate to assess complex models used for valuation, risk measurement, and capital calculations. You will collaborate with model developers, Risk, and Valuation Control Groups to govern model risk and drive improvements.

Responsibilities include reviewing pricing models, evaluating model behavior, and implementing robust performance metrics to ensure regulatory alignment and model integrity.

Qualifikationen

• Advanced degree in a quantitative discipline.
• Strong knowledge of probability and numerical methods.
• Familiarity with option pricing and risk-neutral valuation.

Aufgaben

• Review complex pricing models (credit, interest rate, equity).
• Evaluate model behavior and limitations for applications.
• Develop and maintain model performance metrics and benchmarks.
• Ensure models comply with internal and regulatory standards.

Kenntnisse

C/C++

Python

Quantitative modeling

Communication skills

Ausbildung

MSc/PhD in mathematics, statistics, financial engineering

Jobbeschreibung

Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you play a crucial role in maintaining JPMorganChase's strength and resilience. 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 a Quant Model Risk Associate in the Model Risk Governance and Review team, you will be responsible for assessing and mitigating the risks associated with complex models used for valuation, risk measurement, capital calculation, and decision-making purposes. You'll be at the forefront of innovation, driving continuous improvement in a dynamic and collaborative environment. This role also provides the opportunity to gain exposure to various business and functional areas, as well as collaborate closely with model developers and users.

Job Responsibilities

• Perform thorough reviews of complex credit, interest rate, and equity pricing models, including valuation engines and reserve methodologies. Analyze the conceptual soundness, model design, and appropriateness of models for specific products and structures.
• Evaluate model behavior and ensure the suitability of pricing models and engines for their intended applications, identifying potential limitations and areas for improvement.
• Develop and implement alternative model benchmarks. Design and maintain robust model performance metrics to compare and monitor the outcomes of various models.
• Continuously evaluate model performance, ensuring models remain fit for purpose and compliant with internal and regulatory standards. Recommend enhancements and oversee remediation where necessary.
• Serve as the primary point of contact for the business regarding new model implementations and changes to existing models. Provide expert guidance on model usage, limitations, and governance requirements.
• Liaise effectively with model developers, Risk, and Valuation Control Groups. Offer guidance and support on model risk management, validation standards, and regulatory expectations.

Required Qualifications, Capabilities and Skills

• Advanced degree (MSc, PhD, or equivalent) in a quantitative discipline such as mathematics, statistics, financial engineering, or related field.
• Advanced knowledge of probability theory, stochastic processes, statistics, partial differential equations, and numerical analysis, with demonstrated ability to apply these concepts to financial modeling and risk assessment.
• Deep understanding of option pricing theory and quantitative models for pricing and hedging derivatives, including familiarity with stochastic calculus and risk-neutral valuation.
• Strong analytical and problem-solving skills, with an inquisitive mindset and the ability to formulate insightful questions, identify model limitations, and elevate issues appropriately.
• Excellent written and verbal communication skills, with the ability to clearly explain complex quantitative concepts to both technical and non-technical stakeholders.
• Proficient programming skills in languages such as C/C++, Python, or similar, with experience implementing numerical algorithms and developing model prototypes.
• Demonstrated curiosity and ownership, with a strong willingness to work collaboratively within a team-oriented environment.
• One to three years’ experience in front office model development or in model review, validation, and governance within financial services, with a strong understanding of credit, interest rate, and equity pricing models.

Preferred Qualifications, Capabilities and Skills

• Experience in a front office or model risk quantitative role.