Quantitative Trading & Research - Cash Equities - Associate

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

Job Description

The Quantitative Trading & Research team develops quantitative models, algorithms, analytical capabilities and agentic workflows to help Cash Equities Sales teams engage more effectively with clients. By transforming complex client flow and transaction 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, the team supports both inbound and outbound client workflows

Job Summary

As an Associate in the Quantitative Trading & Research team, you will develop quantitative models, algorithms, analytical capabilities and agentic workflows that improve how Cash Equities Sales teams engage with clients. You will transform complex data, including client flow and transactional data such as trades, orders, axes and IOIs, into relevant signals, client targeting and "who to call" recommendations, LLM-generated dynamic client content, trade ideas and post-trade opportunities, supporting inbound and outbound client workflows. You will own the research lifecycle from problem framing and data preparation through methodology, evaluation, production implementation and monitoring, partnering with Technology, Data and Product on integration. You will use statistical methods, ML, LLMs and AI agents where they add value.

Job 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 for extracting, enriching and interpreting structured and unstructured data, including Cash Equities flow and transactional data (executions, orders, axes, IOIs, 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 by combining 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 use in Sales applications and AI-assisted workflows.
• Design, build and evaluate agentic workflows that orchestrate these tools, data services and models to automate multi-step Sales tasks, such as 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 responses to inbound requests.
• Use LLMs to generate personalized client content, such as talking points, flow commentary, trade idea summaries and outreach drafts, grounded in underlying data through retrieval, with controls for 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 the most 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 the reliability, accuracy and usefulness of agent and LLM outputs, recommendation uptake and content quality.
• Implement and maintain production-quality analytical code, with testing, reproducibility, explainability and monitoring of model, agent and output performance.

Required Qualifications

• 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.

Preferred Qualifications

• 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 (e.g. 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.

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About The Team

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.