AQR Capital Management
Greenwich, CT
2027 Trading Analyst
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Apply to 2027 Trading Analyst at AQR Capital ManagementJob details
- Location
- Greenwich, CT
- Work type
- Onsite
- Compensation
- $145,000 - $155,000/yr
- Visa
- Sponsorship available
- Posted
- 1 week ago
- Apply on
- job-boards.greenhouse.io
About this role
AQR Capital Management is a global investment firm focused on applying financial theory and rigorous research to investment management. The Trading Analyst will support traders across global markets by analyzing trading activity, market structure, liquidity, and market-moving events, while developing analytical tools and research to improve execution and systematic trading decisions.
What you'll do:
- Analyze trading costs, market structure, and liquidity across asset classes
- Explore how macroeconomic events, earnings, policy decisions, and geopolitical developments impact markets
- Build analytical tools and perform research to improve execution and trading decisions
- Work with large datasets to identify patterns, test hypotheses, and generate actionable insights
- Collaborate closely with portfolio managers, researchers, and technologists on projects spanning the investment process
What they're looking for:
- * December 2026 or Spring 2027 graduate with a desire to work in the financial services industry
- * A Bachelor's or Master's degree
- * Excellent communication skills
- * Commitment to intellectual integrity, self-drive, maturity, and ability to collaborate
- * Detail-orientation, ability to multi-task
- * Are fascinated by global markets and naturally follow financial, economic, and geopolitical developments
- * Enjoy understanding **why** markets move and how news is reflected in prices, volatility, and liquidity
- * Have a genuine interest in market structure, trading, and liquidity across multiple asset classes
- * Are collaborative team players who communicate well, ask thoughtful questions, and enjoy learning from others
- * Believe the best answers come from data. They enjoy testing hypotheses and using data science to solve real-world trading and investment problems. Whether through programming, AI-assisted tools, or other analytical approaches, they are motivated by finding evidence-based solutions rather than relying on intuition alone
- * Take ownership, bring a positive attitude, and are eager to contribute to the success of the team
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