Full-Time

WQBRAIN Researcher

Confirmed live in the last 24 hours

WorldQuant

WorldQuant

1,001-5,000 employees

Quantitative asset management and algorithmic trading

Quantitative Finance
Financial Services

Entry, Junior, Mid

London, UK

Position based in London.

Category
Algorithm Development
Quantitative Research
Quantitative Finance
Required Skills
Python
MySQL
Data Structures & Algorithms
Java
C/C++
Linux/Unix
Data Analysis
Requirements
  • Familiarity and competence in using BRAIN, ex-VRC Research Consultant, or BRAIN Research Consultant preferred
  • Possess or expect a Bachelor’s degree or advanced degree in engineering, science, mathematics, finance or any other related field that is highly analytical and quantitative from a leading university
  • Demonstrated programming experience in one of the following (Java/C++/C/Python/MySQL/SQL Server); knowledge of UNIX preferred
  • Possess a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges
  • Have a strong interest in learning about worldwide financial markets
  • Possess good communication and presentation skills in English
Responsibilities
  • Create and develop Alphas and other utilization algorithms on BRAIN
  • Conduct research on academic quantitative finance literature
  • Identify and design new research domains. Generate ideas to grow the domain
  • Analyze current functionalities available to researchers, identify any issues with the platform and provide solutions and recommendations to the BRAIN team
  • Design and test new functionalities and datasets on the BRAIN platform
  • Work with BRAIN Strategy and Operations country heads and other Business Development partners to enhance & implement BRAIN business strategy for user and consultant acquisition
  • Conduct training sessions for BRAIN users and consultants
  • Prepare and update training curriculum of BRAIN

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 creating mathematical models that guide algorithmic trading strategies to generate returns. 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 effectively manage assets and deliver strong returns for its clients while fostering an 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

  • Growing interest in alternative data sources enhances WorldQuant's investment strategies.
  • The rise of ESG investing aligns with WorldQuant's innovative algorithmic approach.
  • Global talent acquisition trends support WorldQuant's diverse and skilled workforce.

What critics are saying

  • Increased competition from AI-driven firms may lead to a talent drain.
  • Over-reliance on algorithmic models poses risks in unprecedented market conditions.
  • Regulatory scrutiny on algorithmic trading practices is intensifying globally.

What makes WorldQuant unique

  • WorldQuant employs a unique blend of data, talent, and predictive algorithms.
  • The firm encourages innovation and experimentation among its employees.
  • WorldQuant emphasizes equal opportunity, allowing all employees to contribute meaningfully.

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