Job Description
To apply for this job, you need to complete both steps below:
STEP 1:
Please click the link to submit your application directly to the company:
Quantitative Finance Careers at WorldQuant
Your application will only be received by Recruiter if submitted via above link.
STEP 2:
Kindly scroll to the bottom of this page and complete the short VinUni Tracking Form.
Filling out this form alone does not count as applying. Kindly remind this form is not part of the company’s application process. It only helps Careers, Alumni, Industry and Development (CAID) Department discover more opportunities and follow up in case of system issues.
WorldQuant is seeking exceptional individuals to join as AI Researchers. In this full-time role, you will work in of Artificial Intelligence (AI) and Large Language Models (LLMs), applying techniques to develop 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 signals
- Apply AI concepts to create and enhance alphas on the BRAIN platform.
- Analyze large-scale financial datasets to seek to uncover patterns and build 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.
What We Offer:
- Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
- We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
- Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
- Premium Health Insurance and Employee Assistance Program
- Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
- Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
- Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
- Happy-hour with tea break, snacks and meals every day in the office!

