b Overview /b p In this role, you will design and deploy AI-enabled tools for trading workflows and credit portfolio management within a global QR function. You’ll advance automation and digital transformation, enhancing trading signals, hedging strategies, and risk reporting. You work with cross-functional teams to apply AI, LLMs, and agent-based systems to real-time markets and portfolio optimization. This is a chance to influence credit risk decisions at scale in a leading financial institution. /p b Responsibilities /b ul li Design, build, and deploy AI/LLM-driven tools for trading workflows /li li Apply machine learning to improve trading-signal generation and portfolio optimization /li li Identify practical AI applications for daily desk operations and automation /li li Use credit portfolio data to uncover opportunities and optimal hedging strategies /li li Collaborate with model control teams for model review and compliance /li li Automate daily risk and position reports to support broader automation /li li Develop trade support and automation infrastructure for hedging and loan sales /li li Engage with other Markets QR sub-teams to share best practices /li /ul b Key requirements /b ul li Advanced degree in mathematics, statistics, physics, financial engineering, computer science, or equivalent /li li Experience in quantitative research or analytics supporting fixed income, credit, or lending desks /li li Hands-on experience building and deploying AI agents, ML, or LLM-based applications for financial markets or trading workflows /li li Experience in portfolio optimization and related software/tools /li li Strong Python programming and data science skills /li li Excellent analytical, numerical, and problem-solving abilities with interest in credit markets /li li Strong written and verbal communication, capable of explaining complex concepts to diverse stakeholders /li li Ability to thrive in a high-pressure, collaborative team environment /li /ul ul li collaboration across global teams /li li communication of complex ideas to technical and non-technical audiences /li li intellectual curiosity and learning mindset /li li Python /li li AI/LLM /li li machine learning /li /ul
Credit Portfolio Lending Group – Quantitative Research – Associate or Vice President employer: JP Morgan Chase
Morgan is an exceptional employer, offering a dynamic work culture that prioritises diversity and inclusion while fostering employee growth through comprehensive coaching and development opportunities. As a global leader in financial services, we empower our teams to drive impactful product management and AI enablement, ensuring that every employee can contribute meaningfully to our clients' success in a collaborative environment located at the heart of the financial sector.
