VP, Quantitative Trading & Research — AI-Driven Finance

Aumni; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

J.P. Morgan is seeking a Vice President for the Quantitative Trading and Research (QTR) Prime Finance team in London.

You will design and implement advanced mathematical models and ML methods to optimize revenue, hedging, and inventory strategies, while collaborating with trading, technology and risk teams to deliver scalable analytics. You will translate complex quantitative concepts for senior stakeholders, mentor junior researchers, and continuously improve modeling approaches to meet

Qualifications

• Advanced degree in a quantitative field.
• Significant experience in quantitative modelling and analytics.
• Strong background in AI, ML, OR, or revenue/yield management.
• Proficiency in Python for data analysis, modelling, and software development.
• Ability to solve complex quantitative problems and deliver business impact.
• Excellent communication and presentation skills with senior stakeholders.

Responsibilities

• Develop and implement mathematical, statistical, and ML models to optimize revenue and profitability.
• Apply optimization techniques to automate traders’ decision-making and inventory management.
• Analyse market data to uncover patterns and inform strategy.
• Research alpha signals and automated hedging strategies.
• Collaborate with trading, technology and risk teams to deliver quantitative tools.
• Build and maintain robust infrastructure for model deployment and analytics delivery.
• Ensure models and analytics meet risk management standards.
• Mentor junior team members and document models and processes.

Skills

Python

Statistics

Machine Learning

Operations Research

AI/ML

Data analysis

Communication skills

Cross-functional collaboration

Education

Master's or PhD in Statistics/CS/OR

Tools

scikit-learn

TensorFlow

PyTorch

Gurobi/CPLEX

Job description

J.P. Morgan is seeking a Vice President for the Quantitative Trading and Research (QTR) Prime Finance team in London.

You will design and implement advanced mathematical models and ML methods to optimize revenue, hedging, and inventory strategies, while collaborating with trading, technology and risk teams to deliver scalable analytics. You will translate complex quantitative concepts for senior stakeholders, mentor junior researchers, and continuously improve modeling approaches to meet