Quantitative Research (QR) is an expert quantitative modelling group in J.P. Morgan, as well as a leader in financial engineering, data analytics, statistical modeling and portfolio management. As a global team, QR partners with traders, marketers and risk managers across all products and regions, contributes to sales and client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and appropriate financial risk controls.

We are looking for an experienced Quant to join our team in London. QR Central Solutions team is responsible for solving challenging technical model risk management problems around the Firm’s trading models, including developing new analytics and enhancing existing analytics. We work closely with trading desks, model risk teams and control functions to solve fundamental modeling challenges and model limitations. As part of the team, you will:

• Help the business to manage model limitations through sophisticated mathematical models and cutting-edge quantification methodologies.
• Develop valuation analytics for control functions such as Valuation Control Group (VCG) which oversees fair value estimation of the Trading books.

In addition, we are providing on job training, intensive internal classroom training, and online courses, all given by our experienced quants. Through the diversity of the businesses it supports and the variety of functions that it is responsible for, Quantitative Research group provides unique growth opportunities for you to develop your abilities and your career.

We make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental and physical health needs or particular family considerations.

If you are passionate, curious and ready to make an impact, we are looking for you.

Our work combines classical quant finance with modern machine learning techniques to deliver best-in-class methodologies to manage model risks. It includes:

• Developing analytics to remediate model limitations to better manage the model risk for the firm;
• Working alongside control functions to devise and implement consistent methodologies for model calibration, valuations adjustments, stress usage of models within the CCAR framework, etc.;
• Implementing analytics in our quant library and trading/risk platforms in an agile environment end-to-end, from code design to ongoing maintenance.

The role is cross-asset and part of a global team that works closely with teams in Asia-Pacific, London and New York.

• Experience in a front-office derivatives trading environment;
• Outstanding analytical and problem-solving abilities;
• Good verbal and written communication and team skills in a multi-location set-up;
• Strong coding skills in Python and C++;
• Deep understanding of derivatives pricing theory and standard models

Relevant experience in similar roles in Quant Research and Model Development will be an advantage.

Beyond that, we’re interested in the things that make you unique: personal qualities, outside interests and achievements beyond academia and profession that demonstrate the kind of person you are and the differences you could bring to the team