Quantitative Research – Global Markets – Analyst or Associate

JP Morgan

Location: Greater London

Job Type: Full time


Quantitative Research (QR) is an expert quantitative modeling 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 a junior Quant to join the QR Market team in London or Paris. Team's mission is to develop and maintain sophisticated mathematical models, cutting-edge methodologies and infrastructure to value and hedge financial transactions ranging from vanilla flow products to complex derivative deals, as well as improve the performance of algorithmic trading strategies and promote advanced electronic solutions to our clients worldwide. We also work closely with trading desks to develop statistical arbitrage strategies and other quantitative trading models.

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 family considerations.

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

Your Impact

You’ll contribute to the firm’s product innovation, effective risk management and financial risk controls. Additionally, you’ll contribute to the strategic agenda to transform our investment bank into a data-led business and drive change using state-of-the-art machine learning techniques. Specially, you’ll have the chance to:

  • Develop mathematical models for pricing, hedging and risk measurement of derivatives securities, algorithmic trading strategies as well as Delta-One trading strategies or inventory management
  • Support both OTC and electronic trading activities by explaining model behavior, identifying major sources of risk in portfolios, carrying out scenario analyses, developing and delivering quantitative tools, and researching for new trading ideas
  • Contribute directly to the business and client franchise by understanding the market drivers behind market moves and their cross-asset and cross-market implications and generating revenue opportunities
  • Design efficient numerical algorithms and implement high performance computing solutions in trading and risk management systems end-to-end – problem analysis, solution determination, code design and development, integration, testing and documentation.

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

About You

Our work combines classical quantitative finance with modern machine learning techniques to deliver best-in-class analytics for pricing and risk management.

  • You have deep understanding of advanced mathematics used in financial modeling including probability theory, stochastic calculus, partial differential equations, numerical analysis, optimization, statistics and modern machine learning methods
  • You are proficient in code design and programming skills, with primary focus on Python and C++
  • You demonstrate strong quantitative and problem-solving skills as well as research skills
  • You have strong interpersonal skills including excellent verbal and written communication and ability to work in multi-location set-up
  • You quickly grasp business concepts outside immediate area of expertise and adapt to rapidly changing business needs
  • You think strategically and creatively when faced with problems and opportunities. You always look for new ways of doing things

Nice to have

  • Advanced degree (PhD, MSc or equivalent) in Engineering, Mathematics, Physics or Computer Science
  • Markets experience and familiarity with general trading concepts and terminology
  • Knowledge of options pricing theory, trading algorithms or financial regulations
  • Direct experience of agile software methodologies and design principles
  • Experience with robust testing and verification practices
You’ve got this!