ML-Driven Quant Trader – Securities Services & CIB Treasury

JP Morgan Chase; City of Rochester (NY); On-site; USD 180,000 - 300,000; Full time

Job summary

JPMorgan Chase invites applications for an Associate/VP in Quantitative Trading & Research (QTR) within Securities Services, Payments and CIB Treasury. You will tackle technically complex problems, leveraging LLMs and ML applications on large datasets using cloud capabilities.

Collaboration with business leads and multiple internal teams is essential to drive data-driven decisions. You’ll contribute from prototyping to production and communicate insights to non-technical stakeholders, aiming to

Qualifications

• Advanced degree (PhD or MS) in Physics, Mathematics, CS, Engineering, or similar.
• Strong understanding of Machine Learning, Statistics, and Mathematics.
• Experience with real-world data science problems, end-to-end from prototype to production, using Python.
• Excellent communication skills and ability to present findings to non-technical audiences.
• Passion for learning, sharing knowledge, building collaborations, and getting things done.

Responsibilities

• Develop AI/ML-driven analytics and automation to support business goals.
• Build scalable data architecture to handle large transaction data volumes.
• Automate manual processes and build tools for better decision making and deposit management.
• Create sequential decision-making tools to optimize net interest income under liquidity constraints.
• Lead projects end-to-end from brainstorming to model deployment.
• Present commercial recommendations to stakeholders and visualize quantitative insights.
• Collaborate with Quantitative Research, CIB Treasury, CIO, and CDAO to advance data strategy.

Skills

ML foundations

Statistics

Mathematics

Communication

Team collaboration

Education

PhD or MS in quantitative field

Tools

Python

Cloud/HPC environments

Job description

JPMorgan Chase invites applications for an Associate/VP in Quantitative Trading & Research (QTR) within Securities Services, Payments and CIB Treasury. You will tackle technically complex problems, leveraging LLMs and ML applications on large datasets using cloud capabilities.

Collaboration with business leads and multiple internal teams is essential to drive data-driven decisions. You’ll contribute from prototyping to production and communicate insights to non-technical stakeholders, aiming to