Quantitative Trading & Research - Credit & Public Finance Sales - Associate @ JPMorgan Chase Corporate

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

Job Description

The JPMorgan Quantitative Trading & Research (QTR) Sales team builds products which directly support the 2000+ member Sales organization. In doing so, we leverage JP Morgan’s vast portfolio of data and analytics and partner closely with Sales, Trading, Trading QTR, Digital Markets, Technology, and other groups.

Job Summary

As an Associate for the Quantitative Trading & Research team, you will primarily focused on supporting Credit & Public Finance Sales. This global sales team distributes corporate & municipal bonds, loans, CLOs, CDS, credit indices, and other corporate-credit related products. You will turn complex data into client-relevant signals, content and trade ideas that support both inbound and outbound client workflows, and own each project 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, a python-based JPM framework.

Job Responsibilities

• Generate client-tailored marketing materials and analytical content for JPM inventory, with clear source attribution and supporting rationale, sent directly to sales and/or clients, to increase client satisfaction, draw more clients onto our proprietary platforms, and increase client “stickiness”
• Develop relative-value and analytics tools that match client interests and holdings with available inventory, generating trade ideas and prioritizing the most actionable opportunities
• Build tools and data pipelines that automate or aid sales workflows, combining structured and unstructured market, trading and client data from multiple sources with automated data-quality checks
• Design, prototype, build and support AI agents that support sales workflows, for example LLM-based extraction of structured information from unstructured text, with rigorous evaluation against benchmarks and baselines, using error analysis and Sales feedback to improve accuracy
• Package analytical methods as reusable tools, skills, plugins and MCP servers that Sales applications and AI agents can call
• Measure the impact of tools and content (usage, client engagement, idea performance) and use the results to set priorities in partnership with Digital Markets
• Partner with Sales to identify the most valuable problems, and with Technology and Digital Markets to integrate our tools into shared platforms, reusing existing data services and contributing back to the shared ecosystem of QTR Sales frameworks

Required Qualifications, Capabilities, and Skills

• Strong academic background in a quantitative field (e.g., Mathematics, Physics, Statistics, Economics, Computer Science, Data Science, Engineering, Quantitative Finance). Masters-level or equivalent experience.
• Advanced Python programming skills, including code architecture, plus strong SQL and pandas skills. Ability to manipulate and analyze complex, large-scale, high-dimensionality data from varying sources, with reproducible data preparation, feature engineering and validation.
• Good software engineering practice: 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, communicating directly with front-office stakeholders and turning loosely defined requests into clearly scoped deliverables
• Ability to explain analytical methods, assumptions and trade-offs clearly to both technical and non-technical stakeholders
• Demonstrated desire to learn and leverage the evolving GenAI revolution

Preferred Qualifications, Capabilities, and Skills

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