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

AT JPMorgan Chase
JPMorgan Chase

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

Singapore

J.P. Morgan is a top-tier liquidity provider in global macro markets, offering competitive pricing across commodities, FX, interest rates and credit. Within the firm we offer a full spectrum of products - from plain vanilla to exotic options; from commodities derivatives & major currencies to emerging market bonds. The Automated Trading Strategies (ATS) group drives systematic trading within this space and is responsible for algorithmic pricing, automated risk management and hedging, and intelligent order execution strategies.

As a trading strategist associate, you are part of the Automated Trading Strategies (ATS) front-office team on the trading floor in Singapore with primary focus on Commodities markets, chiefly Precious and Base metals, Energy, Agricultural and Indices products. This role is also part of the trading team in Singapore where you work closely with the desk to drive revenue and expand the business.

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Job responsibilities

  • Data analysis to identify patterns and revenue opportunities
  • Research to develop models and methods to solve practical trading problems
  • Back testing and assessing pricing, risk management and execution strategies
  • Reviewing trading performance data and making data driven decisions
  • Maintaining and improving trading software systems and tools
  • Expanding the group's library of modeling, analytics, and automation tools
  • Resolving day-to-day trading issues

Required qualifications, capabilities, and skills

  • Minimum 3 year of experience in Commodities quantitative trading or similar roles
  • Bachelor 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 statistic 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

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.

Client-provided location(s): Singapore
Job ID: JPMorgan-210542820
Employment Type: Full Time