Full-Time

Quantitative Developer

Macro

Confirmed live in the last 24 hours

WorldQuant

WorldQuant

1,001-5,000 employees

Quantitative asset management using algorithms

Quantitative Finance
Financial Services

Junior, Mid

London, UK

Category
Quantitative Analysis
Quantitative Research
Quantitative Finance
Software Engineering
Required Skills
Python
Data Structures & Algorithms
Pandas
Linux/Unix
Data Analysis
Requirements
  • Degree in a technical or quantitative field from a top tier institution.
  • 2+ years of experience as a developer
  • Very good at Data Structure and Algorithms
  • Demonstrated ability to program in Python on Linux/Unix platforms; familiarity with scripting languages.
  • Familiarity with technologies related to data processing such as Pandas, etc.
  • Exceptional communication skills in both verbal and written form.
  • Excellent problem solving abilities and judgment with strong attention to detail.
  • Mature and thoughtful, with the ability to operate in a collaborative, team-oriented culture.
  • Motivated by the transformational effects of technology-at-scale.
  • Experience in finance is a plus but not required
Responsibilities
  • Work closely with Macro Tech, Portfolio Managers and Researchers on complex data pipelines, strategy framework and trading systems.
  • Acquire in-depth domain knowledge of the Quant Macro space with the design / implementation principles on how to build a quant tech infrastructure for Macro trading.

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. Unlike many competitors, WorldQuant encourages a culture of experimentation and innovation among its employees, allowing everyone to contribute ideas regardless of their position. The company's goal is to generate returns for its clients while maintaining a commitment to equal opportunity in the workplace.

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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Benefits

Performance Bonus

Flexible Work Hours