WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality 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 remote-work 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 full-time role, you will work at the forefront of Artificial Intelligence (AI) and Large Language Models (LLMs), applying techniques to develop innovative quantitative models for WorldQuant’s 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 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.

What You’ll Bring:

• Technical Expertise: Strong knowledge and hands-on 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: Bachelor’s 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 team-oriented culture; excellent communication and presentation skills in English.

Our Benefits:

• Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, full paid parental leave, and generous paid time off
• Perks: Employee discounts for gym memberships, wellness activities etc., healthy snacks, casual dress code
• Training: learning and development courses, speakers, team-building off-site
• Employee resource groups

Pay Transparency:

WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state.  We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations.  When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

The base pay range for this position is $60,000 - $120,000 USD.

At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws.  If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com, and we will address your concerns promptly.

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