BRAIN AI Researcher
BRAIN AI Researcher
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce highquality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies the foundation of a balanced global investment platform.
WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems balancing intellectualism and practicality. Excellent ideas come from anyone anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost and people who demonstrate an outstanding talent. There is no roadmap to future success so we need people who can help us build it.
About WorldQuant BRAIN:
BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and provide global remotework opportunities to participants while they learn quant finance AI and ML concepts. WorldQuant Brain provides an advanced crowdsourcing platform for external participants to contribute signals data and more.
The Role: WorldQuant is seeking exceptional individuals to join as AI Researchers. In this fulltime role you will work at the forefront of Artificial Intelligence (AI) and Large Language Models (LLMs) applying techniques to develop innovative quantitative models for WorldQuants BRAIN platform.
As part of this role you will:
- Conduct research in AI and LLMs experimenting with advanced architectures such as Transformer models Reinforcement Learning and Generative AI.
- Design train and finetune 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 largescale 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.
What Youll Bring:
- Technical Expertise: Strong knowledge and handson experience in AI Machine Learning (ML) and LLMs; proficiency in Python and C; familiarity with PyTorch or TensorFlow.
- Quantitative Skills: Solid foundation in mathematics statistics and quantitative modeling; experience with financial datasets is a plus.
- Educational Background: Bachelors or advanced degree in Computer Science AI Mathematics Financial Engineering or related fields from a leading university.
- Research Mindset: Creative problem solver with a passion for experimentation and unsolved challenges; strong interest in financial markets.
- Collaborative Skills: Ability to work in a teamoriented culture; excellent communication and presentation skills in English.
By submitting this application you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected how it will be used and disclosed how it will be retained and secured and what legal rights are associated with that data (including the rights of access correction and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.
Copyright 2025 WorldQuant LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race color creed religion sex sexual orientation or preference age marital status citizenship national origin disability military status genetic predisposition or carrier status or any other protected characteristic as established by applicable law.
Employment Type
Full Time
