Overview
In this role, you will develop systematic strategies that exploit predictive signals across global asset classes, contributing to a scalable investment platform. You will lead a quantitative portfolio, collaborate with cross-functional teams, and advance firm-wide research initiatives. The focus is on building high-quality alphas and translating research into actionable strategies. This is a mission-driven opportunity to shape data-driven investment decisions in a dynamic, penalty-free environment where continuous improvement is encouraged.
Pay / Benefits
- Transparent and formula-based compensation
- Access to WorldQuant’s alpha pool and portfolio tools
- Autonomy to build your own strategies
- Opportunities for collaboration and mentorship
- Access to extensive datasets and cutting-edge AI/ML efforts in finance
- State-of-the-art cross-asset execution
Responsibilities
- Develop systematic strategies leveraging statistically-based signals across global assets
- Lead, manage and grow a quantitative investment portfolio
- Contribute to broader firm research and strategic initiatives
Key requirements
- 2+ years’ experience in developing systematic strategies with verifiable positive PnL and Sharpe
- Strong programming skills in Python and C++
- collaboration
- problem-solving and analytical thinking
- openness to challenge conventional thinking
- Python
- C++
- quantProgramming
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