Quantitative Trading & Research - Equity Derivatives - Associate

JPMorgan Chase & Co.•New York, NY

1d•$200,000 - $285,000

About The Position

As an Associate on the Quantitative Trading & Research team, you will develop quantitative models, algorithms and analytical capabilities to improve how Sales teams engage with clients. You will transform complex data into relevant signals, dynamic client content, trade ideas and post-trade opportunities, including rolls, 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, machine learning and large language models where they add value. The Quantitative Trading & Research team develops models, algorithms and analytical capabilities to improve Sales teams and client engagement. The position is within J.P. Morgan’s Commercial & Investment Bank, a global provider of banking, markets, securities services and payments.

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 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 derivatives products, client portfolios or positions, Sales analytics, or trade-lifecycle opportunities such as rolls.
Experience analyzing financial, client-interaction or time-series datasets to identify actionable signals.
Experience developing recommendation or prioritization algorithms, or dynamic analytical client content with traceable sources.
Experience applying machine learning or large language models to data interpretation, retrieval, content generation or decision support, including evaluation and monitoring.
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, opportunity prioritization and Sales analytics.
Construct reproducible research datasets and develop methods for extracting, enriching and interpreting structured and unstructured data.
Build reusable executable analytical capabilities, including tools, skills and plugins, that encode research methods for use in Sales applications and AI-assisted workflows.
Develop dynamic, data-derived client content grounded in analytical insights, with clear source attribution and supporting rationale, for outreach and responses to inbound requests.
Develop algorithms to generate trade ideas and identify post-trade opportunities, including rolls, using client positions, objectives, product characteristics and market conditions.
Design experiments and evaluation benchmarks, compare approaches against baselines, and use error analysis and Sales feedback to improve analytical quality and business impact.
Implement and maintain production-quality analytical code, with testing, reproducibility, explainability and monitoring of model and output performance.
Partner with Sales to identify valuable research problems, and with Technology, Data and Product to integrate analytical capabilities into shared platforms, retaining ownership of methodology and analytical logic while reusing existing data services and workflow infrastructure.

Benefits

Competitive total rewards package, including base salary determined based on 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.
Reasonable accommodations for religious practices and beliefs, and mental health or physical disability needs.