Full-Time
WQBRAIN Researcher
Confirmed live in the last 24 hours
WorldQuant
1,001-5,000 employees
Quantitative asset management using predictive algorithms
Junior, Mid
London, UK
Position based in London.
- 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
- 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
- Familiarity and competence in using BRAIN, ex-VRC Research Consultant, or BRAIN Research Consultant preferred
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 trading decisions, allowing for systematic and data-driven investment strategies. Unlike many traditional asset managers, WorldQuant encourages its employees to experiment with new ideas and methods, fostering a culture of innovation. The company aims to provide strong returns for its clients while maintaining a commitment to equal opportunity, ensuring that all employees can contribute to the firm's success.
Company Stage
N/A
Total Funding
$148.5M
Headquarters
Greenwich, Connecticut
Founded
2007
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