Position:
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Data Scientist, BRAIN Core Team
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A role focused on transforming raw data into actionable insights
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Contributes to developing decision-support tools, adopting AI/LLM innovations, and building scalable data intelligence solutions
Company:
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WorldQuant LLC, a global quantitative asset management firm
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Known for creating systematic financial strategies across a variety of asset classes and global markets
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Strong reputation for crowdsourcing signals, innovative AI research, and continuous learning culture
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WorldQuant BRAIN division, operating like a fintech platform, empowers individuals worldwide to contribute signals and data
Location:
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Mumbai, India
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Strategic global office location, enabling collaboration across time zones
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Situated in a financial and technology hub, offering access to talent and industry networks
Job type:
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Full-time opportunity
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Permanent employment within the BRAIN Core Team
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Structured for long-term growth and contribution
Job mode:
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Onsite role in Mumbai office
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Offers team-based collaboration, access to in-house infrastructure, and direct exposure to specialists
Job requisition id:
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Not explicitly provided, tied to the Data Scientist role within WorldQuant BRAIN
Years of experience:
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Entry-level to early career candidates
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Suitable for fresh graduates with strong foundations or professionals with up to 3 years of experience
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Designed to attract individuals eager to apply AI, ML, and quantitative skills in a financial context
Company description
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WorldQuant is a leading global investment management firm, leveraging data and technology to uncover inefficiencies in financial markets
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Built on a foundation of systematic research, the firm develops predictive signals known as alphas, which drive innovative investment strategies
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Operates in multiple countries with a distributed team culture
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Distinguishes itself by combining academic rigor with real-world accountability, enabling data-driven financial solutions
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The company values intellectual curiosity and promotes openness to new ideas, regardless of hierarchy
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It empowers employees to challenge conventional thinking, fostering a workplace that thrives on experimentation and continuous improvement
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Through divisions like BRAIN, WorldQuant expands its reach into fintech crowdsourcing, offering participants from across the globe opportunities to learn and contribute
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By integrating AI and machine learning into its platforms, the company demonstrates commitment to advancing the future of quantitative finance
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Its equal opportunity employment policies highlight inclusivity and fairness, providing space for diverse talent to thrive
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WorldQuant’s ecosystem also includes WorldQuant University, Foundry, and Ventures, further emphasizing its holistic approach to innovation
Profile overview
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The Data Scientist role in WorldQuant BRAIN focuses on managing, enriching, and transforming data into meaningful intelligence
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Candidates will work with structured, semi-structured, and unstructured data sources, ensuring data integrity and usability
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The role emphasizes building dashboards, APIs, and analytical tools to empower consultants with faster insights
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It involves integrating advanced AI techniques, including large language models, into real-world applications such as semantic search and natural-language querying
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Candidates are expected to research emerging ML techniques, pilot innovative approaches, and move successful ideas into production
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Collaboration lies at the heart of the role, requiring teamwork with product managers, engineers, and domain specialists
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The position encourages a research-oriented mindset, inviting candidates to explore new algorithms, embeddings, and retrieval models that can enhance the platform
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Successful candidates will be individuals who balance technical expertise with creativity and problem-solving skills
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The role offers exposure to financial data, enabling candidates to apply their knowledge in quantitative modeling and market-related insights
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The position blends technical execution with thought leadership, requiring not only building solutions but also sharing knowledge with the broader BRAIN community
Qualifications
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Strong foundation in Artificial Intelligence and Machine Learning, with hands-on application experience
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Proficiency in Python programming is essential, with additional familiarity in C++ for computational tasks
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Exposure to deep learning frameworks such as TensorFlow or PyTorch is expected
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Solid quantitative background, with knowledge of mathematics, statistics, and modeling techniques
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Educational qualifications may include a bachelor’s or advanced degree in Computer Science, Mathematics, AI, Financial Engineering, or related fields
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Financial dataset experience is advantageous but not mandatory, making the role accessible for candidates from academic or tech backgrounds
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A research mindset is critical, demonstrating curiosity, persistence, and an appetite for tackling open-ended challenges
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Excellent problem-solving skills and ability to adapt tools and techniques to diverse datasets
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Strong communication and presentation abilities to explain results to both technical and non-technical stakeholders
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Collaboration and teamwork skills to operate effectively in cross-functional environments
Additional info
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The position provides a unique opportunity to bridge the gap between data science, AI innovation, and financial applications
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Candidates will have access to cutting-edge datasets, proprietary research platforms, and global expertise
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A portion of the work focuses on exploratory research, enabling candidates to innovate without immediate production constraints
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The role emphasizes end-to-end ownership, from gathering requirements and prototyping to scaling solutions into production systems
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Applicants must be open to fast-paced learning environments, where new technologies and methodologies are continuously evaluated and implemented
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WorldQuant ensures a supportive work culture, offering mentorship and collaboration across global teams
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The role aligns with the company’s broader mission to democratize quant finance through its BRAIN initiative
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Equal opportunity hiring ensures fair consideration for all applicants, irrespective of background
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The position is suited for individuals who enjoy continuous growth, curiosity-driven research, and applying technical skills in high-impact contexts
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Data confidentiality and adherence to compliance standards are central to the work, ensuring professional handling of sensitive datasets
Please click here to apply.
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