Quantitative Product Manager, Associate

JPMorgan Chase

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Work type
On-site
Location
New York, NY
Employment
Full-time
Posted
34 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $202k
$154k $249k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,875–$240,125.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Quantitative Product Manager, Associate

JOB TITLE: Credit Portfolio Group – Quantitative Product Manager - Associate The Credit Portfolio Group – Quantitative Product Manager - Associate joins the Quantitative Research function within the Markets division of the Commercial & Investment Bank. This role focuses on developing and maintaining trading models, analytics, and portfolio monitoring tools to support the management of the retained credit portfolio. You will design, build, and deploy AI, large language models, and generative AI agents to enhance trading workflows, including automated market analysis, credit curve maintenance, and trade idea generation. Key responsibilities include implementing machine learning techniques for portfolio optimization, automating daily risk reports, and building infrastructure for loan sale execution. Required skills include an advanced degree in a quantitative field, Python experience, and hands-on experience with portfolio optimization software and data science to solve complex credit market problems.

What you'll do

  • Design and deploy AI, LLM, and generative AI agent-based tools to support trading workflows and portfolio risk monitoring.
  • Implement machine learning techniques to enhance trading signal generation and portfolio optimization strategies.
  • Identify and embed emerging AI capabilities into the desk's daily operations to provide a quantitative edge.
  • Analyze credit portfolio data to identify concentrated exposures and optimal hedging strategies.
  • Automate daily risk and position reports to streamline workflows and accelerate digital transformation.
  • Build and enhance infrastructure for trade support, credit curve reconciliation, and loan sale execution.
  • Coordinate with model control teams to ensure all models meet internal policies and regulatory requirements.

What we're looking for

  • An advanced degree in mathematics, statistics, physics, financial engineering, computer science, or an equivalent subject.
  • At least 4 years of experience in a quantitative research, markets, or analytics-focused role supporting a fixed income, credit, or lending desk.
  • Hands-on experience building and deploying AI agents, machine learning, or LLM-based applications for financial markets or trading desk workflows.
  • Hands-on experience in portfolio optimization, including familiarity with related software and tools.
  • Strong software design and data science skills with Python experience.
  • Exceptional analytical, quantitative, and problem-solving skills with a passion for credit markets and investing.
  • Excellent written and verbal communication skills to convey complex quantitative concepts to technical and non-technical stakeholders.
  • Ability to work in a high-pressure, collaborative team environment with strong attention to detail.

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