Quant Modelling Associate/Vice President

Fairygodboss; Greater London; On-site; GBP 140,000 - 210,000; Full time

Job summary

J.P. Morgan seeks a Quant Modeling Associate/VP to join the Model Risk Governance and Review team in London. The role involves evaluating complex electronic trading models used for valuation, risk, and capital calculations, and coordinating with developers and users to mitigate model risk.

The position offers exposure to diverse business areas and requires advanced quantitative training, strong communication, and hands-on programming in Python and database tools.

Qualifications

• Master's or PhD in Mathematics, Physics, Engineering, CS, Economics or Finance.
• Strong experience in model validation or front office related to electronic trading.
• Excellence in probability theory, stochastic processes, statistics and numerical analysis.
• Solid understanding of option pricing theory and quantitative models for derivatives.
• Excellent written and verbal communication, and risk-aware mindset.
• Proficiency in Python and data analysis; curiosity and teamwork.

Responsibilities

• Evaluate conceptual soundness, assumptions, inputs, testing, implementation and performance metrics; reproduce benchmark models.
• Design experiments to measure model limitations and compare outputs with empirical evidence.
• Evaluate risks from non-transparent parameters and non-linear relationships; suggest mitigations.
• Document review findings and communicate to stakeholders.
• Serve as first point of contact for model governance inquiries for the coverage area.
• Provide guidance on model usage to developers, users and stakeholders.
• Monitor ongoing performance testing outcomes and update stakeholders.
• Maintain model inventory and metadata for the coverage area.
• Stay current with developments in products, markets, models and risk practices.

Skills

Mathematics

Statistics

Probability theory

Numerical analysis

Communication

Teamwork

Education

Master's or PhD in a quantitative discipline

Tools

Python (NumPy/SciPy/Pandas)

SQL

KDB+/Q

TensorFlow

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 escalation 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 escalation 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.

ABOUT US

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.

ABOUT THE TEAM

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.