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

LLMs

Transformer models

Reinforcement Learning

Generative AI

Model Training

Fine-tuning

Quantitative Modeling

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