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Quantitative Trading & Research - Equity Derivatives - Associate

JPMorgan Chase

New York, NYFull-time$200–285K/yrSeen 1 day agoSeen in employer's feed 1 day ago

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At a glance

Compensation
$200–285K/yr
Location
New York, NY
Schedule
Full-time
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Requirements

Credentials this posting asks for.

Master's degree, required

Job overview

As an Associate on JPMorgan Chase’s Quantitative Trading & Research team, the hire will develop quantitative models, algorithms and analytical capabilities to improve how Sales teams engage with clients. The role spans the research lifecycle, from data preparation and evaluation through production implementation and monitoring, and includes generating signals, client content, trade ideas and post-trade opportunities. The associate will partner with Sales, Technology, Data and Product.

Skills & qualifications

RequiredNice to have

Skills

Python, requiredSQL, requiredModular Analytical Software, requiredProduction Software Development, requiredProbability, requiredStatistics, requiredNumerical Methods, requiredMachine Learning, requiredModel Evaluation, requiredDataset Preparation, requiredFeature Engineering, requiredReproducible Analysis, requiredExperimental Design, requiredFailure Analysis, requiredStakeholder Communication, requiredResearch Ownership, requiredDerivatives Products, nice to haveClient Portfolio Analysis, nice to haveSales Analytics, nice to haveTrade Lifecycle Analysis, nice to haveFinancial Data Analysis, nice to haveClient Interaction Analysis, nice to haveTime-Series Analysis, nice to haveRecommendation Algorithms, nice to havePrioritization Algorithms, nice to haveDynamic Client Content, nice to haveLarge Language Models, nice to haveData Interpretation, nice to haveInformation Retrieval, nice to haveContent Generation, nice to haveDecision Support, nice to haveAI Agent Integration, nice to haveMCP Interfaces, nice to have

Qualifications

Advanced Degree in Listed Fields or Related, required

Benefits

Medical Insurance
401(k) Match
Tuition Assistance

Full job description

Quantitative Trading & Research - Equity Derivatives - Associate

New York, NY, United States

Job Information

  • Job Identification 210808619

  • Job Category Data Management

  • Business Unit Commercial & Investment Bank

  • Posting Date 11/13/2026, 05:52 PM

  • Locations 270 Park Ave, New York, NY, 10017, US

  • Job Schedule Full time

  • Base Pay/Salary New York,NY $200,000.00-$285,000.00

Job Description

The Quantitative Trading & Research team is experienced in developing models, algos and analytical capabilities to improve our sales teams and how we engage with clients.

Job Summary

As an Associate in the Quantitative Trading & Research team, you will develop quantitative models, algorithms and analytical capabilities that 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, ML and LLMs where they add value.

Job 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, explain ability 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.

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 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 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 ML or LLMs 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.

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 (https://careers.jpmorgan.com/us/en/how-we-hire/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.

How this job compares

Set against the 2,028 open Data Science jobs on Olive Jobs, counted November 15, 2026.

Pay
  • This posting$200–285K/yr
  • New York median$156–240K/yr175 salary ranges
  • US median$130–232K/yr1,587 salary ranges

This range's midpoint, $243K, is 21% above the New York median midpoint ($200K) — in the top quarter of Data Science salary ranges in New York.

Openings
Olive Jobs lists 188 open Data Science jobs in New York and 2,028 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
Data Science postings that state a minimum ask for 6 years of experience at the median; the middle half ask for 4 to 8 years (1,700 postings).
Education
This posting asks for a master's degree; 200 of the 2,028 open Data Science jobs (10%) ask for a master's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 15, 2026. Figures based on too few postings are left out.

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