Credit Portfolio Group - Quantitative Research - Associate

Responsibilities

• Design, build, and deploy AI, LLM, and generative AI agent-based tools to support CPG trading workflows, including automated market analysis, credit curve maintenance, trade idea generation, and portfolio risk monitoring
• Explore and implement machine learning techniques to enhance market-making algorithms, quoting tools, and portfolio optimization strategies
• Stay at the forefront of emerging AI capabilities and identify practical applications that can be embedded into the desk's daily operations
• Leverage the vast amount of data available across the credit portfolio to proactively identify opportunities, concentrated exposures, and optimal hedging strategies for the desk
• Collaborate with model control teams to facilitate timely and efficient review and approval of all models, ensuring compliance with internal policies and industry regulations
• Automate trading desk daily risk and position reports, streamlining workflows to accelerate the broader automation & digital transformation agenda across CPG
• Build and enhance trade support and automation infrastructure for portfolio hedging strategies, credit curve reconciliation, and loan sale execution
• Interact with other sub-teams within Markets QR to explore synergies and share best practices

Requirements

• 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, with demonstrated ability to apply these technologies to financial markets or trading desk workflows
• Hands-on experience in portfolio optimization, familiar with related software and tools
• Strong software design and data science skills, with Python experience
• Exceptional analytical, quantitative, and problem-solving skills with an intellectual curiosity and passion for credit markets and investing
• Excellent written and verbal communication skills, with the ability to convey complex quantitative concepts to both technical and non-technical stakeholders
• Ability to work in a high-pressure, collaborative team environment with strong attention to detail and a focus on quality of deliverables

Qualifications

• 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, with demonstrated ability to apply these technologies to financial markets or trading desk workflows
• Hands-on experience in portfolio optimization, familiar with related software and tools
• Strong software design and data science skills, with Python experience
• Exceptional analytical, quantitative, and problem-solving skills with an intellectual curiosity and passion for credit markets and investing
• Excellent written and verbal communication skills, with the ability to convey complex quantitative concepts to both technical and non-technical stakeholders
• Ability to work in a high-pressure, collaborative team environment with strong attention to detail and a focus on quality of deliverables

Skills

• 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, with demonstrated ability to apply these technologies to financial markets or trading desk workflows
• Hands-on experience in portfolio optimization, familiar with related software and tools
• Strong software design and data science skills, with Python experience
• Exceptional analytical, quantitative, and problem-solving skills with an intellectual curiosity and passion for credit markets and investing
• Excellent written and verbal communication skills, with the ability to convey complex quantitative concepts to both technical and non-technical stakeholders
• Ability to work in a high-pressure, collaborative team environment with strong attention to detail and a focus on quality of deliverables

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, 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.

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.