Quant Modelling Associate/Vice President

Next Frontier Capital; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Quant Modeling Associate/VP to join the Model Risk Governance and Review team. You will assess and mitigate model risk for electronic trading models, collaborating with developers and users across the firm.

The role offers exposure to valuation, risk measurement, capital calculations, and related decision-making. Candidates should have strong quantitative training and experience in model validation and front office contexts.

Qualifications

• Master's or PhD in a quantitative discipline such as Mathematics, Physics, Engineering, Computer Science, Economics or Finance.
• Strong experience in model validation or front office in electronic trading.
• Excellence in probability theory, stochastic processes, statistics, and numerical analysis.
• Strong understanding of option pricing theory and quantitative models for derivatives.
• Excellent communication skills (written and verbal).
• Risk and control-oriented mindset; ability to assess materiality and elevate issues.

Responsibilities

• Evaluate conceptual soundness of model specifications, reasonableness of assumptions, reliability of inputs, and testing completeness.
• Design and implement experiments to measure model limitations and estimation errors.
• Evaluate risks posed by non-transparent parameters and non-linear relationships; suggest mitigations.
• Document model review findings and communicate to stakeholders.
• Serve as first point of contact for model governance inquiries; identify and elevate issues for timely resolutions.
• Provide guidance on appropriate model usage to developers and users in the firm.
• Monitor performance testing results and communicate outcomes to stakeholders.
• Maintain model inventory and metadata for the coverage area.
• Stay updated on developments in products, markets, models, and risk practices.

Skills

Probability theory

Stochastic processes

Statistics

Numerical analysis

Python

Communication skills

Curiosity & ownership

Education

Master's or PhD in quantitative discipline

Tools

TensorFlow

SQL

kdb

Job description

We are looking for a new member to join our cross-asset team in the Model Risk Governance and Review group which is responsible for end-to-end model risk management across the firm for electronic trading models.

As a Quant Modeling Associate/Vice President in our Model Risk Governance and Review team, you will assess and help mitigate the model risk of complex models used in the context of valuation, risk measurement, the calculation of capital, and more broadly for decision-making purposes. Additionally, you will have an opportunity for exposure to a variety of business and functional areas and will work closely with model developers and users.

Job responsibilities

• Evaluate conceptual soundness of model specifications, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability and comprehensiveness of performance metrics and risk measures. Perform independent testing of models by replicating or building benchmark models.
• Design and implement experiments to measure the potential impact of model limitations, parameter estimation errors, and deviations from model assumptions; compare model outputs with empirical evidence or outputs from model benchmarks.
• Evaluate the risks posed by non-transparent model parameters and/or non-linear relationships, and suggest ways to mitigate such risks.
• Document the model review findings and communicate them to stakeholders.
• Serve as the first point of contact for model governance related inquiries for the coverage area, and help identify and elevate issues to ensure that their resolutions are sound and timely.
• Provide guidance on the appropriate usage of models to model developers, users, and other stakeholders in the firm.
• Stay abreast of the ongoing performance testing outcomes for models used in the coverage area, and communicate those outcomes to stakeholders.
• Maintain the model inventory and model metadata for the coverage area.
• Maintain the pace with the latest developments in coverage area in terms of products, markets, models, risk management practices, and industry standards.

Required qualifications, capabilities, and skills

• Master's or PhD in a quantitative discipline such as Mathematics, Physics, Engineering, Computer Science, Economics or Finance
• Strong experience in model validation or front office in an area of electronic trading (either agency or market making)
• Excellence in probability theory, stochastic processes, statistics, and numerical analysis.
• Strong understanding of option pricing theory and quantitative models for derivatives.
• Excellent communication skills (written and verbal)
• Risk and control-oriented mindset: ability to ask incisive questions, assess materiality of model issues, and elevate issues appropriately.
• Proficiency in Python (NumPy, SciPy, Pandas, etc).
• Curious, ownership-driven, and teamwork-oriented mindset.

Preferred qualifications, capabilities and skills

• Prior model validation or front‑office quant experience in pricing, risk, or electronic market making models.
• Database interfacing, data management and (pre-)processing (kdb, q, SQL).
• Experience of working with tensorflow and other ML packages.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. The Model Risk Governance and Review Group (MRGR) oversees model risk at JPMorgan and conducts independent model reviews.