Quantitative Trading & Research – Securities Services, Payments and CIB Treasury - Associate
About The Position
The Quantitative Trading & Research (QTR) Securities Services, Payments and CIB Treasury team applies AI and machine learning techniques to support revenue growth and efficiency across J.P. Morgan’s Commercial and Investment Bank. The Associate/Vice President will partner closely with business stakeholders to address complex problems using quantitative methods, data analytics, and technology. Work may include applying large language models, developing machine learning applications for business-critical predictions, and using cloud capabilities to process large datasets. The role focuses on identifying business pain points and iterating toward practical solutions. It involves developing analytics and automation, building scalable data architecture, optimizing decision-making and deposit management, and creating tools to improve net interest income under liquidity, capital, and balance-sheet constraints. The position also requires presenting quantitative findings and recommendations to stakeholders and collaborating across research, treasury, investment, technology, and data teams.
Requirements
- Advanced degree (PhD or MS) or equivalent in a quantitative field such as physics, mathematics, computer science, or engineering.
- Robust understanding of machine learning, statistics, and mathematics, both in fundamentals and application.
- Experience solving real-world data science problems end-to-end, from prototype to production, using Python.
- Excellent verbal and written communication skills, including the ability to present findings to non-technical audiences.
- Passion for learning, sharing knowledge, building collaborations, and getting things done.
Nice To Haves
- Participation in KDD or Kaggle competitions, hackathons, or contributions to GitHub.
- Hands-on experience solving sequential decision-making problems.
- Experience applying large language models and/or deep learning methods to business problems.
- Experience working with cloud and/or HPC environments.
Responsibilities
- Work with business leads to develop AI/ML-driven analytics and automation that support business goals.
- Build scalable data architecture to handle large volumes of transaction data.
- Automate existing manual processes and build tools to optimize decision-making and deposit management.
- Build sequential decision-making tools to optimize business net interest income under liquidity, capital, and balance-sheet constraints.
- Drive projects end-to-end, from brainstorming and prototyping through data processing, analysis, and model development.
- Make commercial recommendations through effective presentations to stakeholders.
- Use data visualization to communicate quantitative insights and support business decision-making.
- Collaborate with Quantitative Research, CIB Treasury, the Chief Investment Office, Technology, and the Chief Data and Analytics Office to advance CIB data strategy.
Benefits
- Competitive total rewards package, including base salary; eligible roles may receive commission-based pay and/or discretionary incentive compensation.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
