摩根大通(J.P Morgan)-Corporate Investment Banking Quantitative Research Associate Program – Internship 

Job Description

Corporate Investment Banking Quantitative Research Associate Program – Internship 

Spend your vocation working alongside our top tier professionals, driving innovation through financial engineering, derivatives modelling, asset and liability management and risk management. You’ll help develop and maintain mathematical models, methodologies and tools used throughout the firm while gaining indepth insight into the world of investment banking and associated model risk.

Our Mission

Talent is the currency of our business. Our commitment to providing best-in-class industry solutions is enabled by you. In turn, we offer a framework for career growth through unmatched training, experiences and access across our businesses in over 100 countries. Our collaborative culture is designed to support your success — wherever it takes you.

About Quantitative Research

Quantitative Research is an expert quantitative modelling group in J.P. Morgan, an unchallenged leader in financial engineering, derivatives modelling and risk management. With more than 500 analysts worldwide, Quantitative Research partners with traders, marketers and risk managers across all products and regions.

Quantitative skills are a core capability of J.P. Morgan, contributing critically to product innovation, effective risk management and appropriate financial and risk controls. The 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 develop portfolio risk-measurement methodologies, quantify credit/market risk exposures and economic capital, work closely with trading desks to develop statistical arbitrage strategies and inventory management solutions.

What You Can Expect

Work in partnership with our quant team, technology and risk managers to develop the sophisticated mathematical models and cutting-edge methodologies that support our global business.

You’ll contribute to the firm’s product innovation, effective risk management, and financial and risk controls. Specially, you’ll:

-Developing mathematical models for pricing, hedging and risk measurement of derivatives securities

-Developing mathematical models for algorithmic trading strategies as well asDelta

-One trading strategies or inventory management

-Supporting both OTC and electronic trading activities by explaining model behaviour, identifying major sources of risk in portfolios, carrying out scenario analyses,developing and delivering quantitative tools, and supporting analytics

-Assessing the appropriateness of quantitative models and their limitations, identifying and monitoring the associated model risk

-Implementing risk measurement, valuation models or algorithmic trading modules in software and systems

-Designing efficient numerical algorithms and implementing high performance computing solutions

-Designing and developing software frameworks for analytics and their delivery to systems and applications

-Colleagues and mentors will support your learning and growth throughout the summer. You may receive an offer of full-time employment upon successful completion of the program.

About You

We’re looking for innovative problem-solvers with a passion for developing complex solutions that support our global business.

Key Qualifications:

Enrolled in a Master’s or Ph.D. degree program in math, statistics, sciences,engineering, computer science, machine learning/deep learning or other quantitative fields
Mastery of advanced mathematics with a deep knowledge of statistical modelling/data science or stochastic modelling (probability theory, stochastic calculus, partial differential equations, numerical analysis, optimization, statistics, econometrics, machine learning/deep learning)
Exceptional software design and development skills using C , Python, Java.
Knowledge of options pricing theory, trading algorithms or financial regulations a plus
Excellent analytical, quantitative and problem solving skills and demonstrated research skills
Strong communication skills (both verbal and written) and the ability to present findings to a non-technical audience

Join us

At JPMorgan Chase, we’re creating positive change for the diverse communities we serve. We do this by championing your innovative ideas through a supportive
culture that helps you every step of the way as you build your career. If you’re passionate, curious and ready to make an impact, we’re looking for you.


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