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JP Morgan Chase

Runs a consumer bank and an investment bank

Markets Quantitative Trading and Research Associate Program Off-Cycle Internship

Quantitative ResearchConfirmed live in the last 24 hours
InternshipHong KongNo salary listedIn-person

About the Job

Requirements

  • Expected graduation beyond December 2027.
  • Currently pursuing a PhD in a quantitative field, such as Mathematics, Physics, Engineering, Computer Science, Machine Learning, or Statistics.
  • Proficiency in at least one programming language, such as Python, Java, JavaScript, C++, or C#.
  • Demonstrate quantitative and problem-solving skills and research ability.
  • Communicate concepts and ideas verbally and through documentation, and explain technical concepts to non-technical audiences.

Responsibilities

  • Gain exposure across Derivatives Pricing, Risk Management and Electronic Execution, and Systematic, Data-Driven Trading Analytics teams, which use machine learning, including collaborative filtering, deep learning, and reinforcement learning, across sales and client engagement, risk, portfolio optimization, and electronic trading and market making.
  • Partner with traders, marketers, and risk managers across products and regions to promote sales, client interaction, product innovation, valuation, and risk management.
  • Develop and implement mathematical models for pricing, hedging, and risk measurement of derivative securities, and models for algorithmic and Delta-One strategies and inventory management.
  • Support over-the-counter and electronic trading activities by explaining model behavior, identifying major sources of portfolio risk, conducting scenario analyses, developing and delivering quantitative tools, and researching new trading ideas.
  • Assess the appropriateness and limitations of quantitative models, monitor associated model risk, and implement valuation, risk, and trading models in production systems.
  • Design efficient numerical algorithms and high-performance computing solutions, and design and develop software frameworks for analytics and their delivery to systems and applications.
  • Apply machine learning and other advanced analytics to enhance sales and client engagement, risk management, portfolio optimization, electronic trading, and market making.
  • Contribute to business outcomes and the client franchise, identify revenue opportunities, and develop market intuition, including cross-asset impacts.
  • Apply advanced analytics to pricing, hedging, and idea generation; research medium- to high-frequency trading strategies; and develop portfolio construction methods and new systematic modeling approaches.

Desired Qualifications

  • Understanding of advanced mathematics used in financial modeling, including probability theory, stochastic calculus, partial differential equations, numerical analysis, optimization, machine learning, statistics, and econometrics.
  • Knowledge of options pricing theory, trading algorithms, or financial regulations.

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1799

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