Overview
Quantitative Research (QR) is an expert quantitative modelling group in J.P. Morgan, a leader in financial engineering, data analytics, statistical modelling and portfolio management. As a global team, QR partners with traders, marketers and risk managers across all products and regions, contributing 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. As an Analyst or Associate within the Quantitative Research, FX Options team, you will have the opportunity 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.
Responsibilities
* Develop mathematical models for pricing, hedging and risk measurement of derivative securities
* Contribute to the firm\'s product innovation, effective risk management, and financial risk controls
* 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
* Assess the appropriateness of quantitative models and their limitations, identifying and monitoring the associated model risk
* Implement risk measurement, valuation models or algorithmic trading modules in software and systems
* Design efficient numerical algorithms and implement high-performance computing solutions
* Design and develop software frameworks for analytics and their delivery to systems and applications
* Write well-formulated documents of model specification and implementation testing
Qualifications
* You understand advanced mathematics arising in financial modeling (stochastic calculus, probability theory, partial differential equations, numerical analysis, optimization, statistics)
* You have an advanced degree (PhD, MSc or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc. Relevant academic research publications are a plus
* You demonstrate proficiency in code design and programming skills, with primary focus on Python and C++
* You're interested in applying agile development practices in a front-office trading environment
* You quickly grasp business concepts outside the immediate area of expertise and adapt to rapidly changing business needs
* You demonstrate quantitative and problem-solving skills as well as research skills
* You're enthusiastic about knowledge sharing and collaboration
* Your excellent communication skills, both verbal and written, can engage and influence partners and stakeholders
Preferred qualifications
* Knowledge of FX option payoffs and pricing models
* Understanding of the different types of financial risk and the ability to discuss ways of managing these risks
* Markets experience and familiarity with general trading concepts and terminology
* Practical data analytics skills on real data sets, including familiarity with methods for working with large data and tools for data analysis (pandas, numpy, TensorFlow)
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