- Experience
- 2+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 4 days ago
- Work mode
- In office
- Resume
- Required to apply
Where you'll work
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Job description
About WorldQuant
WorldQuant specializes in developing and implementing systematic financial strategies across diverse asset classes and global markets. The company focuses on generating high-quality predictive signals (alphas) through a proprietary research platform to capitalize on market inefficiencies. Collaboration is emphasized to drive the creation of alphas and financial strategies, forming the core of a balanced, global investment platform.
WorldQuant fosters a culture combining academic rigor with practical accountability. Employees are motivated to approach challenges openly, blending intellectual curiosity with practicality. Innovation is welcomed from all levels, alongside a commitment to continuous improvement and critical thinking.
Role Overview
We are looking for professionals with experience in quantitative portfolio management and deep knowledge of systematic strategies to join our team as Book Portfolio Managers.
Key Responsibilities
- Create systematic strategies utilizing statistical signals linked to market inefficiencies across various asset classes such as global equities, ETFs, futures, currencies, and options.
- Oversee, lead, and expand a quantitative investment portfolio.
- Participate in firm-wide research initiatives and strategic projects.
Candidate Profile
- Possess at least two years of experience designing systematic strategies, supported by a proven track record with positive profit-and-loss and Sharpe ratio metrics.
- Demonstrate strong programming proficiency in widely used quantitative languages like Python and C++.
What We Offer
- Compensation based on transparent, formula-driven metrics.
- Opportunities to engage in additional research and strategic initiatives.
- Access to WorldQuant’s alpha pool, portfolio management tools, and innovative technology platforms.
- Availability of a comprehensive range of datasets with support from a dedicated data team.
- Cross-asset execution supported by a multi-regional trading team.
- Participation in internal research conferences and forums.
- Freedom to develop your own strategies while benefiting from collaboration and mentorship opportunities.
- Access to AI and machine learning applications within financial markets.
Additional Information
By applying, candidates agree to WorldQuant’s Privacy Policy, which details data collection, usage, retention, security, and legal rights including access, correction, and deletion. Variations in rights apply depending on jurisdiction.
WorldQuant is an equal opportunity employer. Employment decisions are made without regard to race, color, creed, religion, sex, sexual orientation or preference, age, marital or citizenship status, national origin, disability, military status, genetic predisposition, or any legally protected characteristic.