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WorldQuant

Global quantitative asset management via algorithms

Quantitative Researcher

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeTaipei City, TaiwanNo salary listedIn-person

About the Job

Requirements

  • A degree from a top university in a field such as Mathematics, Computer Science, Physics, Electrical Engineering, or an equivalent field.
  • High GPA and strong academic grades.
  • Programming skills, predominantly in C++ and Python; newer skills are also welcomed.
  • Strong interest in learning about worldwide financial markets.
  • Strong written and verbal communication skills in English.

Responsibilities

  • Conduct rigorous research applying data to financial markets to identify new alpha signals.
  • Create computer-based models that seek to predict movements in global financial markets.
  • Use tested research processes to identify high-quality predictive signals believed to be undiscovered by the wider market.

Desired Qualifications

  • A strong interest in financial markets; prior experience in quantitative research is beneficial but not required.
  • A strong record of research achievement, such as scientific publications, conference presentations, grants, or industry awards.

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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