JP Morgan Chase - Vice President - Investible Indices - Quantitative Research

Vice President-Investible Indices

About Quantitative Research :

- 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.

Responsibilities :

You'll contribute to the firm's product and technological innovation. Specifically, you'll have the chance to :

- Develop mathematical models for pricing, hedging and risk measurement of tradable strategies;

- End-to-end automation and optimization of trading execution;

- Analytical tools for risk analysis and strategy explorations;

- Platform design, implementation and life-cycle management of complex tradable strategies;

- Desk-aligned pre & post trade support for bespoke transactions;

- Platform architecture and development alongside partners in Technology;

- 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;

Qualifications :

- You have a strong coding background with proficiency in Python and standard data-analysis packages such as pandas; proficiency in C++ is a plus.

- You are familiar with object oriented programming concepts.

- You demonstrate exceptional analytical, quantitative and problem-solving skill;

- You understand advanced mathematics arising in financial modeling including topics like numerical analysis, optimization and statistics;

- You're interested in market microstructures and quantitative trading within global markets;

- You understand the different types of risk and you can discuss in detail ways of managing these risks;

- You're interested in applying agile development practices in a front-office trading environment;

- You have good practical knowledge of derivatives pricing and risk management theory, vanilla options and volatility products;

- Your excellent communication skills, both verbal and written, can engage and influence partners and stakeholders; You are good at communicating concepts and ideas, also via documentation, and you are keen to defend their validity and tailor messages to different audiences;

Desirables :

- Advanced degree (PhD, MSc or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc;

- Markets experience and general trading concepts and terminology is useful to be familiar with;

- Knowledge of options pricing theory, trading algorithms or financial regulations;

- Orientation towards careful system and solution design and implementation;

- Robust testing and verification practices;

- 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.