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. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.The Role:
We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies.Job Responsibilities (include, but not limited to the following)
Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options.Lead, manage and grow quantitative investment portfolio.Contribute to broader firm research and strategic initiatives.What You'll Bring:
2+ years' experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe.Strong programming skills in mainstream quant programming languages, such as Python and C++.The Book Portfolio Manager Opportunity:
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.
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