Quantitative Trading & Research Specialist

JP Morgan Chase; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

JP Morgan Chase in New York, NY seeks an Associate for its Quantitative Trading & Research team. You will develop quantitative models, ML-enabled workflows and AI-assisted tools to support Cash Equities Sales with data-derived signals, targeting insights and client content.

You will own the research lifecycle from framing problems to production deployment, collaborating with Tech, Data and Product to implement robust, auditable analytics and informed trading ideas for inbound and outbound client

Qualifications

• Strong Python and SQL skills for production analytical software.
• Strong foundations in probability, statistics and machine learning.
• Experience designing, implementing and evaluating models against real business problems.
• Hands-on experience with large-scale transactional/time-series data, data prep and reproducible analysis.
• Ability to design rigorous experiments, interpret results and show measurable improvements.
• Advanced degree in a quantitative field.
• Ability to explain analytical methods to technical and non-technical stakeholders.
• Confidential data handling and adherence to risk/change controls.

Responsibilities

• Research, develop and validate models and algorithms for data processing, signal identification, client targeting and Sales analytics.
• Construct reproducible research datasets and develop methods for extracting, enriching and interpreting structured and unstructured data.
• Analyze client trading behavior to identify which clients to target with ideas and when.
• Develop "who to call" recommendation models ranking clients for Sales coverage.
• Build reusable analytical tools, plugins and workflows for AI-assisted Sales applications.
• Design and evaluate agentic workflows that orchestrate tools, data services and models with guardrails and auditability.
• Develop dynamic client content grounded in insights with source attribution.
• Use LLMs to generate personalized client content with retrieval-based grounding and controls.
• Develop algorithms to generate trade ideas and post-trade opportunities matched to clients.
• Design experiments and benchmarks, compare approaches and improve research quality and business impact.
• Implement production-quality analytical code with testing and monitoring.

Skills

Python

SQL

Statistics

Machine learning

Time-series data

Experiment design

Education

Advanced quantitative degree

Job description

JP Morgan Chase in New York, NY seeks an Associate for its Quantitative Trading & Research team. You will develop quantitative models, ML-enabled workflows and AI-assisted tools to support Cash Equities Sales with data-derived signals, targeting insights and client content.

You will own the research lifecycle from framing problems to production deployment, collaborating with Tech, Data and Product to implement robust, auditable analytics and informed trading ideas for inbound and outbound client