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JPMorganChase

Commercial and Investment Bank - Global Commodities - Automated Trading Strategies - Associate

Job Posted 11 Days Ago Reposted 11 Days Ago
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Hybrid
Singapore
Mid level
Hybrid
Singapore
Mid level
As an Associate, you will analyze data, develop trading models, maintain trading systems, and enhance strategies in commodities markets.
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Job Description
At J.P. Morgan, we are a leading liquidity provider in global macro markets, offering a comprehensive range of products. As part of our Automated Trading Strategies (ATS) team, you will have the opportunity to work on the trading floor in Singapore, focusing on commodities markets. This role offers career growth and the chance to collaborate with a dynamic team to drive revenue and expand our business.
As an Associate in the Automated Trading Strategies team, you will be at the forefront of systematic trading in commodities markets, including Precious and Base metals, Energy, Agricultural, and Indices products. You will work closely with the trading desk to identify revenue opportunities and enhance our trading strategies. Your role will be pivotal in maintaining and improving our trading software systems and tools, contributing to the success of our team and the firm.
Job Responsibilities:
  • Analyze data to identify patterns and revenue opportunities
  • Conduct research to develop models and methods for trading problems
  • Back test and assess pricing, risk management, and execution strategies
  • Review trading performance data and make data-driven decisions
  • Maintain and improve trading software systems and tools
  • Expand the group's library of modeling, analytics, and automation tools
  • Resolve day-to-day trading issues

Required Qualifications, Capabilities, and Skills:
  • 3 years of experience in Commodities quantitative trading or similar roles
  • Bachelor's degree in computer science, mathematics, physics, engineering, or other quantitative fields
  • Strong programming skills in Java/C++ or other object-oriented languages
  • Excellent research skills
  • Attention to detail, adaptable, driven, and collaborative
  • Strong interest in markets and systematic trading

Preferred Qualifications, Capabilities, and Skills:
  • Foundational knowledge of statistics and data analysis techniques
  • Interest or experience in market microstructure and systematic trading
  • Knowledge of order types, L2 market data, and central limit order books
  • Experience with KDB+/q and Python

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
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Top Skills

Java,C++,Kdb+/Q,Python

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