Quantitative Trading & Research Analyst (AI/ML)

JPMorgan Chase; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

J.P. Morgan is recruiting an Analyst/Associate for the QTR Securities Services team to tackle technically complex problems in AI/ML analytics, data processing and model development.

You will work closely with business leads and cross-functional teams to deliver scalable data solutions and commercial impact. The role emphasizes multidisciplinary collaboration, robust statistical methods and hands-on implementation in Python, with opportunities to influence data strategy across the CIB.

Qualifications

• Advanced degree (PhD or MS) or equivalent in a quantitative field
• Robust understanding of ML, statistics, and mathematics, both fundamentals and application
• Experience in tackling real-world data science problems end-to-end using Python
• Excellent communication skills (verbal and written) to present findings to non-technical audiences
• Passion for learning, sharing knowledge, building collaborations, and getting things done

Responsibilities

• Work with business leads to develop AI/ML-driven analytics and automation that support their business goals
• Automate existing manual processes and build tools to optimize decision making and deposit management
• Build sequential decision making tools to optimize net interest income under liquidity, capital and balance sheet constraints
• Drive projects end-to-end from brainstorming, prototyping, data processing, data analysis to model development
• Make real-world, commercial recommendations through presentations to stakeholders
• Leverage data visualization to communicate insights for business decisions
• Collaborate with Quantitative Research, Technology and CDAO to advance the CIB data strategy

Skills

Machine Learning

Statistics

Python

Communication

Quantitative methods

Education

PhD or MS in quantitative field

Tools

Python

Job description

J.P. Morgan is recruiting an Analyst/Associate for the QTR Securities Services team to tackle technically complex problems in AI/ML analytics, data processing and model development.

You will work closely with business leads and cross-functional teams to deliver scalable data solutions and commercial impact. The role emphasizes multidisciplinary collaboration, robust statistical methods and hands-on implementation in Python, with opportunities to influence data strategy across the CIB.