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WorldQuant

Global quantitative asset management via algorithms

Experienced Quantitative Strategist

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A PhD or Master's degree from a top university, with a major in computer science, mathematics, statistics, physics, engineering, or a quantitative finance discipline.
  • Two to eight years of 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.
  • 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.

Responsibilities

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

About the Company

WorldQuant

Global quantitative asset management via algorithms

WorldQuant is a global quantitative asset management firm that uses data, talent, and predictive algorithms to manage investments for institutional clients. Its approach centers on quantitative research and algorithmic trading, applying mathematical models to identify opportunities and execute trades in financial markets. The company earns management and performance fees based on assets under management and investment returns. What sets WorldQuant apart is its scale and culture: a worldwide footprint with over 1,000 professionals across 27 offices, a strong emphasis on data-driven research and experimentation, and a commitment to equal opportunity where employees at all levels can contribute ideas. The firm’s goal is to deliver reliable, scalable investment performance for pension funds, endowments, sovereign wealth funds, and other institutions by closely linking research, technology, and trading execution to generate client returns.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$148.5M
Headquarters
Greenwich, CT
Founded
2007

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