Credit Portfolio Lending Group – Quantitative Research – Associate or Vice President

Posted 48 Minutes Ago
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London, Greater London, England, GBR
Hybrid
Entry level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Designs and deploys AI, LLM, generative AI, and machine learning solutions for credit trading workflows. Responsibilities include generating trading signals, optimizing portfolios, identifying credit exposures and hedging strategies, automating risk and position reporting, and developing trade-support infrastructure. The role collaborates with model control teams and global quantitative research groups to support compliance, portfolio management, and digital transformation.
Summary Generated by Built In

Join our team to build your career in a culture that values innovation, creativity, and excellence. As an Associate or Vice President in Quantitative Research for the Credit Portfolio Lending Group (CPG), you will be at the forefront of developing and deploying AI-driven solutions that transform portfolio management and trading. You’ll collaborate with global teams, leverage advanced technologies, and drive automation to accelerate decision-making and optimize credit risk strategies. This is your opportunity to make a meaningful impact, grow your expertise, and contribute to a dynamic, global function.
As an Associate or Vice President in Quantitative Research within CPG, you will design, build, and deploy AI, LLM, and generative AI agent-based tools to support trading workflows, market analysis, and portfolio risk monitoring. You’ll explore machine learning techniques to enhance trading-signal generation, optimize portfolios, and automate daily risk and position reports. You’ll collaborate with model control teams, leverage data to identify opportunities and hedging strategies, and interact with other Markets QR sub-teams to share best practices. Your role will be central to advancing automation and digital transformation across CPG.

Job responsibilities

  • Design, build, and deploy AI, LLM, and generative AI agent-based tools for CPG trading workflows.
  • Explore and implement machine learning techniques to enhance trading-signal generation and portfolio optimization.
  • Stay at the forefront of emerging AI capabilities and identify practical applications for daily desk operations.
  • Leverage credit portfolio data to identify opportunities, concentrated exposures, and optimal hedging strategies.
  • Collaborate with model control teams for timely review and approval of models, ensuring compliance.
  • Automate daily risk and position reports, streamlining workflows for broader automation and digital transformation.
  • Build and enhance trade support and automation infrastructure for portfolio hedging, credit curve reconciliation, and loan sale execution.
  • Interact with other Markets QR sub-teams to explore synergies and share best practices.
     

Required qualifications, capabilities, and skills

  • Advanced degree in mathematics, statistics, physics, financial engineering, computer science, or equivalent.
  • Experience in quantitative research, markets, or analytics supporting fixed income, credit, or lending desks.
  • Hands-on experience building and deploying AI agents, machine learning, or LLM-based applications for financial markets or trading workflows.
  • Experience in portfolio optimization and familiarity with related software and tools.
  • Strong software design and data science skills, with Python experience.
  • Exceptional analytical, quantitative, and problem-solving skills, with intellectual curiosity and passion for credit markets.
  • Excellent written and verbal communication skills, able 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 and quality.
     

Preferred qualifications, capabilities, and skills

  • Experience collaborating with global teams and sharing best practices.
  • Experience automating trading desk workflows and risk reports.
  • Experience with model control and compliance processes.
  • Proactive approach to learning and professional development.
  • Experience in credit portfolio management or trading.
     

This role encompasses the performance of UK regulated activity. The successful candidate will therefore be subject to meeting UK regulatory requirements in the assessment of fitness, propriety, knowledge and competence (as assessed by the Firm) and (where appropriate) approval by the UK Financial Conduct Authority and/or the Prudential Regulation Authority to carry out such activities.  

About UsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
  
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.
About the TeamJ.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. 

Skills Required

  • Advanced degree in mathematics, statistics, physics, financial engineering, computer science, or equivalent.
  • Experience in quantitative research, markets, or analytics supporting fixed income, credit, or lending desks.
  • Hands-on experience building and deploying AI agents, machine learning, or LLM-based applications for financial markets or trading workflows.
  • Experience in portfolio optimization and familiarity with related software and tools.
  • Strong software design and data science skills, including Python experience.
  • Exceptional analytical, quantitative, and problem-solving skills, with intellectual curiosity and passion for credit markets.
  • Excellent written and verbal communication skills, with the ability 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 and quality.
  • Experience collaborating with global teams and sharing best practices.
  • Experience automating trading desk workflows and risk reports.
  • Experience with model control and compliance processes.
  • Proactive approach to learning and professional development.
  • Experience in credit portfolio management or trading.

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
  • Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
  • Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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