BRAIN AI Researcher at WorldQuant

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Quantitative Finance, FinTechIndustries

Requirements

Strong knowledge and hands-on experience in AI, Machine Learning (ML), and LLMs
Proficiency in Python and C++
Familiarity with PyTorch or TensorFlow
Solid foundation in mathematics, statistics, and quantitative modeling
Experience with financial datasets is a plus
Bachelor’s or advanced degree in Computer Science, AI, Mathematics, Financial Engineering, or related fields from a leading university
Creative problem solver with a passion for experimentation and unsolved challenges
Strong interest in financial markets
Ability to work in a team-oriented culture
Excellent communication and presentation skills in English

Responsibilities

Conduct research in AI and LLMs, experimenting with advanced architectures such as Transformer models, Reinforcement Learning, and Generative AI
Design, train, and fine-tune LLMs and other AI models to extract insights and generate predictive signals
Apply AI concepts to create and enhance alphas and other utilization algorithms on the BRAIN platform
Analyze large-scale financial datasets to uncover patterns and build predictive models using statistical, mathematical, and machine learning techniques
Collaborate with platform development teams to design and test new functionalities and datasets
Stay updated on the latest advancements in AI and LLM research, identifying opportunities to integrate them into quantitative finance applications

Skills

Key technologies and capabilities for this role

AILLMsTransformer modelsReinforcement LearningGenerative AIModel TrainingFine-tuningQuantitative Modeling

Questions & Answers

Common questions about this position

What is the salary for the BRAIN AI Researcher position?

This information is not specified in the job description.

Is this a remote position or what is the location requirement?

This information is not specified in the job description.

What technical skills are required for this AI Researcher role?

The role requires strong knowledge and hands-on experience in AI, Machine Learning (ML), and LLMs; proficiency in Python and C++; and familiarity with PyTorch or TensorFlow. A solid foundation in mathematics, statistics, and quantitative modeling is also needed.

What is the company culture like at WorldQuant?

WorldQuant is built on a culture that pairs academic sensibility with accountability for results, encouraging employees to think openly about problems, challenge conventional thinking, and pursue continuous improvement. Excellent ideas come from anyone, anywhere.

What makes a strong candidate for this AI Researcher position?

WorldQuant seeks the best and brightest with outstanding intellectual horsepower and talent, a Bachelor’s or advanced degree in Computer Science, AI, Mathematics, Financial Engineering, or related fields, and the ability to help build future success without a predefined roadmap.

WorldQuant

Quantitative asset management using algorithms

About WorldQuant

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.

Greenwich, ConnecticutHeadquarters

2007Year Founded

$148.5MTotal Funding

N/ACompany Stage

Quantitative Finance, Financial ServicesIndustries

1,001-5,000Employees