AI-Driven Credit Portfolio Quant — Associate/VP

Aumni; Greater London; Vor Ort; GBP 120.000 - 180.000; Vollzeit

Zusammenfassung

J.P. Morgan in the UK is seeking an Associate or Vice President in Quantitative Research for the Credit Portfolio Lending Group (CPG).

You will design, build, and deploy AI-driven tools to support trading workflows, portfolio risk monitoring, and credit analysis. You will collaborate with global teams, apply ML techniques to improve trading signals and hedging strategies, and help automate daily risk and position reporting while ensuring regulatory compliance.

Qualifikationen

• Advanced degree as listed in qualifications.
• Experience supporting fixed income, credit, or lending desks.
• Hands-on experience building AI agents or LLM-based tools for financial markets.
• Strong Python and data science skills.

Aufgaben

• Design, build, and deploy AI, LLM, and generative AI agent-based tools for CPG trading workflows.
• Explore 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.

Kenntnisse

Quantitative research

Python

AI agents

Portfolio optimization

Financial markets

Communication

Collaboration

Ausbildung

Advanced degree in mathematics, statistics, physics, financial engineering, computer science, or equivalent

Tools

Python

Jobbeschreibung

J.P. Morgan in the UK is seeking an Associate or Vice President in Quantitative Research for the Credit Portfolio Lending Group (CPG).

You will design, build, and deploy AI-driven tools to support trading workflows, portfolio risk monitoring, and credit analysis. You will collaborate with global teams, apply ML techniques to improve trading signals and hedging strategies, and help automate daily risk and position reporting while ensuring regulatory compliance.