Vice President, Quantitative Research, Credit Portfolio Lending Group Greater Paris, France Area

The Company is seeking a professional to join their team in a role that is pivotal to the development and deployment of AI-driven solutions for credit portfolio management and trading. The successful candidate will be responsible for designing, building, and deploying AI, LLM, and generative AI agent-based tools to support trading workflows, market analysis, and portfolio risk monitoring. This role demands a high level of expertise in quantitative research, particularly in the context of fixed income, credit, or lending desks, and the ability to stay at the forefront of emerging AI capabilities to identify practical applications for daily operations. Collaboration with global teams, model control, and a proactive approach to learning and professional development are also key aspects of the position. Applicants for this role at The Company should hold an advanced degree in a relevant field such as mathematics, statistics, physics, financial engineering, or computer science, and have a strong background in portfolio optimization, software design, and data science, with a focus on Python. The ideal candidate will have hands-on experience in building and deploying AI agents, machine learning, or LLM-based applications for financial markets, and possess exceptional analytical, quantitative, and problem-solving skills. The role requires excellent communication abilities to convey complex quantitative concepts to both technical and non-technical stakeholders, as well as the capacity to work in a high-pressure, collaborative environment with a strong attention to detail and quality.

Hiring Company

JPMorgan Chase & Co.