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Location
In office (Geneva, Zug)
Seniority
Senior · 2+ years exp

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Jul 17, 2023. WorldQuant scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Headquartered in Old Greenwich, Connecticut, WorldQuant is a global quantitative investment management firm and hedge fund. The company develops and deploys systematic trading strategies, predictive algorithmic signals ("alphas"), and data-driven portfolio management models across global equity and financial markets. By combining advanced machine learning, massive financial datasets, and a distributed international network of quantitative researchers, it systematically identifies market inefficiencies to generate consistent, risk-adjusted investment returns.

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 research experience and intimate knowledge of systematic strategies across a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options

Job Responsibilities (include, but not limited to the following)

  • Support Portfolio Managers with alpha research, modelling, portfolio construction, optimization, and implementation of quantitative trading strategies
  • Build and maintain tools and systems used throughout the quantitative research and portfolio management processes

What You’ll Bring:

  • PhD or Masters degree from a top university, with a major in computer science, mathematics, statistics, physics, engineering, or quantitative finance discipline
  • 2-8 years’ experience in quantitative research and/or quantitative development for systematic strategies
  • Demonstrated ability to program in Python and/or C++, with a strong background in data structures and algorithms
  • Working knowledge of Linux
  • Strong problem-solving abilities
  • Strong moral integrity and work ethic

Our Benefits:

  • Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, full paid parental leave, generous PTO (paid time off) with unlimited sick days
  • Perks: Employee discounts for gym memberships, wellness activities etc., healthy snacks, casual dress code
  • Training: learning and development courses, speakers, team-building off-site
  • Employee resource groups

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.

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