Quantitative Trading & Research – Prime Finance Quantitative Research – Vice President

JPMorgan Chase & Co.; Greater London; On-site; GBP 140,000 - 200,000; Full time

Job summary

JPMorgan Chase & Co. in London seeks a Vice President for the QTR Prime Finance team to design and implement advanced quantitative models and analytics that optimize revenue, hedge risk, and automate workflows.

You will partner with trading, technology, and risk groups to deliver impactful tools and scalable infrastructure. You will lead modelling efforts using ML, statistics, and operations research, mentor junior researchers, and translate complex quantitative concepts for senior stakeholders

Qualifications

• Advanced degree in a relevant quantitative field.
• Significant experience in quantitative modelling or analytics.
• Strong background in AI, ML, OR, or revenue/yield management.
• Proficiency in Python for data analysis and software development.
• Excellent communication and ability to present to senior stakeholders.
• Ability to work collaboratively in cross-functional teams.
• Experience with large-scale data analysis and visualization tools.

Responsibilities

• Develop and implement mathematical, statistical, and ML models to optimize revenue and profitability for financing books.
• Apply operations research to automate traders' decision-making and inventory management.
• Analyse market data to uncover patterns and inform strategy.
• Research alpha signals and automated hedging strategies for systematic trading.
• Collaborate with trading, technology, and risk teams to deliver quantitative tools.
• Build and maintain robust infrastructure for model deployment and analytics delivery.
• Ensure models meet risk management standards and governance.
• Continuously improve models in response to evolving needs.
• Communicate complex concepts to senior stakeholders and mentor juniors.
• Document models, methodologies, and processes for transparency.

Skills

Quantitative modelling

Analytics

AI/ML methods

Operations Research

Python for data analysis

Communication with stakeholders

Cross-functional collaboration

Team mentoring

Large-scale data analysis

Education

Master's degree in Statistics, AI/ML, Computer Science, Operations Research, or related quantitative field

PhD in a quantitative discipline (advantage)

Tools

scikit-learn

TensorFlow

PyTorch

Gurobi

CPLEX

Job description

The Prime Finance Quantitative Trading and Research (QTR) team in London develops and maintains advanced mathematical models, innovative methodologies, and robust infrastructure to support and grow the Prime Financial Services business. Our mission is to optimize decision-making, automate processes, and manage and hedge risk.

Prime Financial Services provides financing and securities lending to institutional investors, optimizes the bank's inventory and balance sheet, and delivers strategic solutions to clients. The QTR team partners closely with trading, technology, and risk teams to deliver impactful tools and analytics.

The team specializes in building models that leverage Machine Learning, Statistics, and Operations Research to solve complex business challenges. As a Vice President in QTR Prime Finance, you will collaborate with senior stakeholders to design and implement those models and help drive business revenue, enhance risk management, and automate workflows. Typical projects include predicting changes in borrow rates or forecasting market demand, unraveling patterns and causality in the data, researching alpha signals and optimizing pricing and inventory allocation to maximize our revenue and profits.

As Vice President in the team you will be involved in regular collaboration with the trading desk. In addition to strong technical expertise, excellent communication skills are essential for effectively engaging with stakeholders and translating complex quantitative concepts into actionable business solutions.

Experience in PrimeFinanceis preferred but not required. We provide on-job training, and through the diversity of the businesses it supports and the variety of functions that it is responsible for, the QTR group provides unique growth opportunities for you to develop your abilities and your career.

Job responsibilities:

• Develop and implement mathematical, statistical, and machine learning models to optimize revenue and profitability for stock borrow-loan, cash, and synthetic financing books, as well as predictive analytics to forecast borrow rates, product demand, and other key business drivers.
• Apply operations research and optimization techniques to automate and enhance traders' decision-making and inventory management.
• Analyse market data to uncover patterns, causality and inform business strategy.
• Research and develop alpha signals and automated hedging strategies, both to assist in the systematic trading efforts of the firm and to contribute to the suite of commercialised datasets of the business
• Collaborate with trading, technology, and risk teams to deliver quantitative tools and solutions.
• Build and maintain robust infrastructure for model deployment and analytics delivery.
• Ensure models and analytics meet rigorous control and risk management standards.
• Continuously improve existing models and methodologies in response to evolving business needs.
• Communicate complex quantitative concepts to senior stakeholders and non-technical audiences.
• Mentor junior team members and contribute to a collaborative team environment.
• Document models, methodologies, and processes for transparency and knowledge sharing.

Required Qualifications, Capabilities and Skills

• Advanced degree (Masters or PhD) in Statistics, AI/ML, Computer Science, Operations Research, or related quantitative field.
• Significant experience in quantitative modelling, analytics, or related roles.
• Strong background in AI, machine learning, operations research, or revenue/yield management.
• Proficiency in Python for data analysis, modelling, and software development.
• Deep understanding of statistics, AI, and optimization techniques.
• Demonstrated ability to solve complex quantitative problems and deliver business impact.
• Excellent communication and presentation skills, especially with senior stakeholders.
• Ability to work collaboratively in cross-functional teams.
• Strong organizational skills and attention to detail.
• Experience with large-scale data analysis and visualization tools.

Preferred QualificationsCapabilities and Skills

• Experience with systematic trading and alpha signal research
• Experience in Prime Finance, securities lending, or inventory management.
• Familiarity with revenue and yield management strategies.
• Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Knowledge of optimization libraries and techniques (e.g., Gurobi, CPLEX, linear/nonlinear programming).
• Track record of publishing research or presenting at industry conferences.
• Experience mentoring or leading junior researchers.