Book Portfolio Manager

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 #LI-SB1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.