At a Glance
- Tasks: Design and implement scalable solutions for credit portfolio analytics using Monte Carlo methods.
- Company: Join J.P. Morgan, a leading global financial services firm in London.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Dynamic team environment with the chance to influence across regions and products.
- Why this job: Make an impact in AI-driven trading and collaborate with top-tier professionals.
- Qualifications: Experience in quantitative analysis and strong problem-solving skills required.
The predicted salary is between 81000 - 99000 £ per year.
Morgan in London is seeking an Associate or Vice President to join the Quantitative Trading & Research team focused on Credit Portfolio analytics.
You will design and implement scalable Monte Carlo solutions for CVA/FVA, collaborating with traders and risk managers to deliver production-grade analytical tools.
The role emphasizes robust testing, system architecture, and practical problem-solving over purely theoretical modeling, with opportunities to influence across regions and products.
Credit Portfolio Analytics VP — AI-Driven Trading & Research in London employer: Aumni
At JPMorgan Chase, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. As a Lead Data Engineer, you'll not only lead a talented squad but also benefit from extensive professional development opportunities, competitive compensation, and a commitment to work-life balance in the heart of a global financial hub. Join us to be part of a team that values your contributions and supports your growth in a rapidly evolving industry.
