WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies.
Requirements
- Quantitative portfolio management experience
- Intimate knowledge of systematic strategies
- Strong programming skills in mainstream quant programming languages, such as Python and C++
- Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics
Benefits
- Transparent and formula-based compensation
- Opportunities to contribute to other research and strategy initiatives
- Access to WorldQuant’s alpha pool, portfolio management tools and innovative technology platforms
- Access to a deep and broad menu of datasets supported by a dedicated data team
- Cross-asset execution led by a multi-regional trading team
- Participation in internal research conferences and forums
- Autonomy to build your own strategies along with several opportunities for collaboration and mentorship
- Access to AI and Machine Learning opportunities applied to financial markets