Quantitative Trading & Research - Credit & Public Finance Sales - Associate

JPMorgan Chase & Co. • New York, NY

1d • $150,000 - $200,000

About The Position

The JPMorgan Quantitative Trading & Research (QTR) Sales team builds products that support the Sales organization by leveraging JPMorgan’s data and analytics and partnering with Sales, Trading, Trading QTR, Digital Markets, Technology, and other groups. The Associate will primarily support Credit & Public Finance Sales, a global sales team distributing corporate and municipal bonds, loans, CLOs, CDS, credit indices, and other corporate-credit products. The role turns complex data into client-relevant signals, content, and trade ideas for inbound and outbound client workflows, and owns projects end to end—from problem framing and data preparation through methodology, evaluation, production implementation, and monitoring. Most, but not all, coding will be in Athena, JPMorgan’s Python-based framework.

Requirements

• Strong academic background in a quantitative field, such as Mathematics, Physics, Statistics, Economics, Computer Science, Data Science, Engineering, or Quantitative Finance; master’s-level education or equivalent experience.
• Advanced Python programming skills, including code architecture, and strong SQL and pandas skills.
• Ability to manipulate and analyze complex, large-scale, high-dimensional data from varying sources, with reproducible data preparation, feature engineering, and validation.
• Good software engineering practices, including modular, testable, and maintainable design, version control, code review, and monitoring.
• Strong foundations in probability, statistics, and machine learning, with experience designing and evaluating models against real business problems, running rigorous experiments, diagnosing failure modes, and demonstrating measurable improvements.
• Strong ownership and ability to work autonomously on multiple projects at once, communicate directly with front-office stakeholders, and turn loosely defined requests into clearly scoped deliverables.
• Ability to explain analytical methods, assumptions, and trade-offs clearly to technical and non-technical stakeholders.
• Demonstrated desire to learn and leverage the evolving GenAI revolution.

Nice To Haves

• Experience in a quantitative role supporting trading or sales, especially Credit-related, including familiarity with fixed-income concepts such as yields, spreads, and duration.
• Experience analyzing financial, client-interaction (such as RFQs and chats), or time-series datasets to identify actionable signals.
• Hands-on experience building LLM applications, including tool-calling, structured outputs, retrieval, evaluation, and monitoring, and exposing analytical code to AI agents through tools, skills, plugins, or MCP interfaces.
• Experience with recommender, ranking, or prioritization systems, entity resolution, or NLP.

Responsibilities

• Generate client-tailored marketing materials and analytical content for JPMorgan inventory, with clear source attribution and supporting rationale, for Sales and/or clients.
• Develop relative-value and analytics tools that match client interests and holdings with available inventory, generating trade ideas and prioritizing actionable opportunities.
• Build tools and data pipelines that automate or support sales workflows by combining structured and unstructured market, trading, and client data from multiple sources, with automated data-quality checks.
• Design, prototype, build, and support AI agents for sales workflows, including LLM-based extraction of structured information from unstructured text; evaluate them against benchmarks and baselines and improve accuracy using error analysis and Sales feedback.
• Package analytical methods as reusable tools, skills, plugins, and MCP servers for use by Sales applications and AI agents.
• Measure the impact of tools and content, including usage, client engagement, and idea performance, and use the results to set priorities in partnership with Digital Markets.
• Partner with Sales to identify valuable problems and with Technology and Digital Markets to integrate tools into shared platforms, reuse existing data services, and contribute to shared QTR Sales frameworks.

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 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