JPMorganChase

Global Rates - Quantitative Trader - Vice President or Executive Director

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Job Location

Paris, France

Job Description


JOB DESCRIPTION


The Rates team is very involved with developing, testing, and implementing quantitative trading strategies, while managing risk and maximizing returns.


Job summary


As a Quantitative Trader, Vice President or Executive Director within the Rates team, you will leverage your strong foundation in mathematics, statistics, and computer science, along with your deep understanding of financial markets. Your role will involve the development, testing, and implementation of quantitative trading strategies, with a focus on risk management and return maximization.


Job Responsibilities



  • Develop and implement quantitative trading models, algorithms, and strategies

  • Conduct in-depth research and analysis of financial markets, instruments, and data

  • Backtest and optimize trading strategies using historical data and advanced statistical techniques

  • Collaborate with the development team to build and maintain trading systems

  • Monitor market conditions and adjust trading strategies accordingly

  • Perform risk analysis and implement risk management procedures

  • Contribute to the development of new trading ideas and research initiatives


Required qualifications, capabilities, and skills



  • You have advanced degree (or equivalent) in mathematics, statistics, computer science, or a related field

  • You demonstrate strong programming skills in Python, C++, or similar languages

  • You demonstrate in-depth knowledge of statistical modelling, machine learning, and optimization techniques

  • You have proven experience in quantitative trading or financial modelling

  • You demonstrate strong understanding of financial markets, instruments, and derivatives

  • You have an excellent problem-solving and analytical skills

  • You have ability to work independently and as part of a team.

  • You have significant experience in generating of trading signal with proven pnl targets


Preferred qualifications, capabilities, and skills



  • You have experience with high-frequency trading or algorithmic trading

  • You demonstrate knowledge of financial databases and data management tools

  • You have experience with cloud computing platforms (e.g., AWS, GCP)

  • You are proficient in financial software packages (e.g., MATLAB, R, Python libraries)

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. Our first-class business in a first-class way approach to serving clients drives everything we do. 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. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.




ABOUT THE TEAM

The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.

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Location: Paris, FR

Posted Date: 11/17/2024
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JPMorganChase

Posted

November 17, 2024
UID: 4903950556

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