Junior Execution Trader

About WorldQuant

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. The company seeks to produce high-quality predictive signals (alphas) through its proprietary research platform, employing financial strategies focused on market inefficiencies. Teams work collaboratively to drive the production of alphas and financial strategies—the foundation of a balanced, global investment platform.

WorldQuant’s culture pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. The company values excellent ideas from anyone, anywhere, and encourages employees to challenge conventional thinking and maintain an attitude of continuous improvement.

Role Overview

Technologists at WorldQuant research, design, code, test, and deploy projects while collaborating with researchers and portfolio managers. The environment is relaxed yet intellectually driven, and the company seeks people who think in code and enjoy working with like-minded colleagues.

The Role

• Monitor execution across equities, FX, futures, and other asset classes, trading in different regions.
• Provide first-line support for issues arising from the automated execution flow.
• Conduct project work, including adding new liquidity to the execution platform and reducing the cost of implementing WorldQuant’s models.
• Analyze large datasets to guide further automation and refinement of execution desk processes.
• Interface directly with portfolio managers, brokers, senior management, compliance, risk, and many other teams.

What You’ll Bring

• Degree in a quantitative or technical discipline from a top-tier institution.
• 1+ years of work experience gained in a buy-side or sell-side institution in a trading, DevOps, or analytics role supporting investment strategies.
• Enthusiasm to learn more about financial markets and execution trading.
• Experience with scripting languages (Python) and databases (SQL) is a strong plus.
• Experience with at least one mainstream asset class (equities, FX, fixed income, credit, derivatives).