Full-Time

Experienced Quantitative Strategist

Confirmed live in the last 24 hours

WorldQuant

WorldQuant

1,001-5,000 employees

Quantitative asset management and algorithmic trading

Quantitative Finance
Financial Services

Mid, Senior

London, UK

Category
Quantitative Research
Quantitative Trading
Quantitative Finance
Required Skills
Python
Data Structures & Algorithms
C/C++
Linux/Unix
Requirements
  • 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
Responsibilities
  • 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

WorldQuant is a quantitative asset management firm that focuses on managing investments for institutional clients like pension funds and sovereign wealth funds. The firm uses data and predictive algorithms to analyze financial markets and identify investment opportunities. Its approach involves algorithmic trading, where mathematical models guide investment decisions. What sets WorldQuant apart from its competitors is its emphasis on innovation and experimentation, allowing employees at all levels to contribute ideas and solutions. The company's goal is to generate returns for its clients while fostering a collaborative and inclusive work environment.

Company Stage

N/A

Total Funding

$148.5M

Headquarters

Greenwich, Connecticut

Founded

2007

Simplify Jobs

Simplify's Take

What believers are saying

  • Increased focus on alternative data sources is gaining traction in quantitative finance.
  • Machine learning integration in portfolio management allows better market trend predictions.
  • Quantum computing offers potential for faster, complex calculations in algorithmic trading.

What critics are saying

  • Increased competition from AI-driven investment firms like ADIA.
  • Regulatory scrutiny on algorithmic trading practices is increasing globally.
  • Market volatility challenges the performance of algorithmic trading models.

What makes WorldQuant unique

  • WorldQuant employs over 1,000 professionals across 27 global offices.
  • The firm uses predictive algorithms to manage assets and generate client returns.
  • WorldQuant emphasizes equal opportunity, allowing all employees to contribute meaningfully.

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