Data Scientist

Summary

Join WorldQuant's BRAIN Core Team as a Data Scientist and transform vast datasets into actionable intelligence. You will curate and combine diverse data, build decision-support tools for consultants, and integrate large language models (LLMs) for enhanced capabilities. A portion of your time will be dedicated to exploratory research and prototyping. You will collaborate with product, engineering, and domain specialists, providing guidance to consultants. Conduct research on novel algorithms and share findings with the team. This role requires strong AI/ML expertise, quantitative skills, and a collaborative spirit.

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
• 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

• Organize and enrich large, diverse datasets
• Build and productionize decision-support tools used daily by BRAIN consultants
• Fast-track the adoption of new technologies—especially large-language-model (LLM) capabilities—to keep the platform up to date
• Spend a portion of your time on exploratory research and prototyping of next-generation analytics so the team keeps pushing boundaries
• Curate, combine and transform structured, semi-structured and unstructured data into clean, well documented intelligence layers
• Develop metrics, features and knowledge graphs that reveal business-relevant signals
• Maintain data-quality checks and automated monitoring so consultants can trust what they see
• Design, build and maintain dashboards, APIs, notebooks and self-service apps that allow consultants to slice data, run analyses and evaluate hypotheses in minutes—not days
• Own the full lifecycle: requirement gathering, rapid prototyping, production hardening, user training and continuous improvement
• Integrate and fine-tune LLMs for use cases such as semantic search across our data catalog, natural-language querying, code generation and insight summarization
• Evaluate emerging ML/AI technologies and pilot the most promising ideas; shepherd successful proofs of concept into production
• Embed with product, engineering and domain specialists to translate business needs into data solutions
• Provide hands-on guidance to consultants—help them frame questions, interpret results and adopt new tools
• Conduct exploratory studies on novel algorithms, embeddings, or retrieval-augmented generation techniques that could unlock future value
• Share findings via internal talks, docs and demos to keep the BRAIN community learning

Preferred Qualifications

Experience with financial datasets is a plus