Quantitative Trading & Research - Cash Equities - Associate

JPMorgan Chase & Co. • New York, NY

1d • $150,000 - $200,000

About The Position

The Associate on the Quantitative Trading & Research team develops quantitative models, algorithms, analytical capabilities and agentic workflows to improve how Cash Equities Sales teams engage with clients. The role transforms client flow and transactional data—including trades, orders, axes and IOIs—into actionable signals, client-targeting insights, “who to call” recommendations, dynamic client content, trade ideas and post-trade opportunities for inbound and outbound workflows.

The Associate owns the research lifecycle, from problem framing and data preparation through methodology, evaluation, production implementation and monitoring, and partners with Technology, Data and Product on integration. The role uses statistical methods, machine learning, LLMs and AI agents where they add value. It also develops reusable analytical tools and workflows with appropriate guardrails, human review, auditability, traceable sources and controls for accuracy and compliance.

Requirements

• Strong Python and SQL skills, with experience developing modular, testable analytical software for production use.
• Strong quantitative foundations in probability, statistics, numerical methods, machine learning or related disciplines.
• Experience designing, implementing and evaluating models, algorithms or analytical techniques against real business problems.
• Hands-on experience working with complex datasets, including large-scale transactional or time-series data, data preparation, feature engineering, validation and reproducible analysis.
• Ability to design rigorous experiments, interpret results, diagnose failure modes and demonstrate measurable improvements.
• Advanced degree in Mathematics, Statistics, Computer Science, Data Science, Physics, Engineering, Quantitative Finance or a related field.
• Ability to explain analytical methods, assumptions and trade-offs clearly to technical and non-technical stakeholders.
• Practical judgment and ownership of research delivery, with appropriate handling of confidential data and adherence to established risk and change controls.

Nice To Haves

• Experience with Cash Equities, including client flow, execution data, axes/IOIs, block trading or market microstructure.
• Experience with client portfolios or positions, Sales analytics or trade-lifecycle opportunities.
• Experience analyzing financial or time-series datasets to identify actionable signals.
• Experience developing “who to call,” client-targeting, recommendation or prioritization algorithms, or dynamic analytical client content with traceable sources.
• Experience applying ML or LLMs to data interpretation, retrieval, content generation or decision support, including retrieval-augmented generation (RAG), prompt design, evaluation and monitoring.
• Experience designing and evaluating agentic workflows, such as tool-calling agents, multi-step orchestration, planning and retrieval, including guardrails, evaluation harnesses and observability.
• Experience integrating analytical code into applications or AI agents through reusable tools, skills, plugins or MCP interfaces.

Responsibilities

• Research, develop and validate models and algorithms for data processing, signal identification, client targeting, opportunity prioritization and Sales analytics.
• Construct reproducible research datasets and develop methods to extract, enrich and interpret structured and unstructured data, including Cash Equities flow and transactional data such as executions, orders, axes, IOIs and blocks.
• Analyze client trading behavior, including flow patterns, sector and stock preferences, position changes, liquidity needs and trading style, to identify which clients to target, with which ideas and when.
• Develop “who to call” recommendation models that rank clients for Sales coverage using flow signals, axes and liquidity, trade ideas and market events, with a clear rationale for each recommendation.
• Build reusable executable analytical capabilities, including tools, skills and plugins, that encode research methods for Sales applications and AI-assisted workflows.
• Design, build and evaluate agentic workflows that orchestrate tools, data services and models to automate multi-step Sales tasks, including client pre-call briefings, flow summaries, idea-to-client matching and inbound request handling, with appropriate guardrails, human-in-the-loop review and auditability.
• Develop dynamic, data-derived client content grounded in analytical insights, with clear source attribution and supporting rationale, for outreach and inbound-request responses.
• Use LLMs to generate personalized client content such as talking points, flow commentary, trade idea summaries and outreach drafts, grounding content in underlying data through retrieval and controlling factual accuracy, hallucination, tone and compliance.
• Develop algorithms to generate trade ideas and identify post-trade opportunities using client positions, historical flow, objectives, product characteristics and market conditions, and match ideas, axes and liquidity to relevant clients.
• Design experiments and evaluation benchmarks, compare approaches against baselines, and use error analysis and Sales feedback to improve analytical quality and business impact, including agent and LLM reliability, accuracy, usefulness, recommendation uptake and content quality.
• Implement and maintain production-quality analytical code with testing, reproducibility, explainability and monitoring of model, agent and output performance.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in the form of cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level