Quantitative Research Analyst Program

4 days ago

London, Greater London, United Kingdom JP Morgan Chase Bank, National Association Full time
Job Description

Are you an ambitious and detail-oriented individual looking to apply your skills in a real-world financial setting? Do you have a passion for exploring complex financial solutions and developing sophisticated mathematical models? If so, this role may be the perfect fit for you.

Job Summary

As a Summer Intern in the Quantitative Research Analyst Program, you will join our Corporate and Investment Bank Markets team for a 9-week internship. Our Global Markets teams develop innovative solutions to help clients manage risk, increase returns, and solve complex financial problems. You will be part of a dynamic team, working closely with quants, technologists, traders, marketers, and risk managers to develop and enhance models and algorithms.

Key Responsibilities
  • Develop and enhance mathematical models and algorithms to optimize pricing of financial instruments and manage risk in existing portfolios.
  • Work closely with trading desks to develop statistical arbitrage strategies and other quantitative trading models.
  • Develop and maintain sophisticated mathematical models and infrastructure to value and hedge financial transactions.
  • Improve the performance of algorithmic trading strategies and promote advanced electronic solutions to clients worldwide.
Requirements
  • Enrolled in a Bachelor's or Master's program in a relevant field such as mathematics, statistics, physics, engineering, computer science, or data science/machine learning.
  • Foundational knowledge of and proficiency in one or more programming languages, including Python, C++, or other relevant languages.
  • Analytical, quantitative, and problem-solving skills, as well as demonstrated research skills.
  • Ability to thrive in a dynamic, collaborative work environment.
  • Excellent interpretive skills and the ability to present findings to a non-technical audience.
Preferred Qualifications
  • Knowledge of options pricing theory, trading algorithms, or demonstrated interest in finance through coursework or prior experience.
  • Confidence and initiative to take on responsibility and manage your own projects.
  • Knowledge of machine learning/data science theory, techniques, and tools.
About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals, and institutional investors. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.

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