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WorldQuant is hiring for a fresher entry level Data Scientist role in India



Position:

  • Data Scientist, BRAIN Core Team

  • A role focused on transforming raw data into actionable insights

  • Contributes to developing decision-support tools, adopting AI/LLM innovations, and building scalable data intelligence solutions

Company:

  • WorldQuant LLC, a global quantitative asset management firm

  • Known for creating systematic financial strategies across a variety of asset classes and global markets

  • Strong reputation for crowdsourcing signals, innovative AI research, and continuous learning culture

  • WorldQuant BRAIN division, operating like a fintech platform, empowers individuals worldwide to contribute signals and data

Location:

  • Mumbai, India

  • Strategic global office location, enabling collaboration across time zones

  • Situated in a financial and technology hub, offering access to talent and industry networks

Job type:

  • Full-time opportunity

  • Permanent employment within the BRAIN Core Team

  • Structured for long-term growth and contribution

Job mode:

  • Onsite role in Mumbai office

  • Offers team-based collaboration, access to in-house infrastructure, and direct exposure to specialists

Job requisition id:

  • Not explicitly provided, tied to the Data Scientist role within WorldQuant BRAIN

Years of experience:

  • Entry-level to early career candidates

  • Suitable for fresh graduates with strong foundations or professionals with up to 3 years of experience

  • Designed to attract individuals eager to apply AI, ML, and quantitative skills in a financial context


Company description

  • WorldQuant is a leading global investment management firm, leveraging data and technology to uncover inefficiencies in financial markets

  • Built on a foundation of systematic research, the firm develops predictive signals known as alphas, which drive innovative investment strategies

  • Operates in multiple countries with a distributed team culture

  • Distinguishes itself by combining academic rigor with real-world accountability, enabling data-driven financial solutions

  • The company values intellectual curiosity and promotes openness to new ideas, regardless of hierarchy

  • It empowers employees to challenge conventional thinking, fostering a workplace that thrives on experimentation and continuous improvement

  • Through divisions like BRAIN, WorldQuant expands its reach into fintech crowdsourcing, offering participants from across the globe opportunities to learn and contribute

  • By integrating AI and machine learning into its platforms, the company demonstrates commitment to advancing the future of quantitative finance

  • Its equal opportunity employment policies highlight inclusivity and fairness, providing space for diverse talent to thrive

  • WorldQuant’s ecosystem also includes WorldQuant University, Foundry, and Ventures, further emphasizing its holistic approach to innovation


Profile overview

  • The Data Scientist role in WorldQuant BRAIN focuses on managing, enriching, and transforming data into meaningful intelligence

  • Candidates will work with structured, semi-structured, and unstructured data sources, ensuring data integrity and usability

  • The role emphasizes building dashboards, APIs, and analytical tools to empower consultants with faster insights

  • It involves integrating advanced AI techniques, including large language models, into real-world applications such as semantic search and natural-language querying

  • Candidates are expected to research emerging ML techniques, pilot innovative approaches, and move successful ideas into production

  • Collaboration lies at the heart of the role, requiring teamwork with product managers, engineers, and domain specialists

  • The position encourages a research-oriented mindset, inviting candidates to explore new algorithms, embeddings, and retrieval models that can enhance the platform

  • Successful candidates will be individuals who balance technical expertise with creativity and problem-solving skills

  • The role offers exposure to financial data, enabling candidates to apply their knowledge in quantitative modeling and market-related insights

  • The position blends technical execution with thought leadership, requiring not only building solutions but also sharing knowledge with the broader BRAIN community


Qualifications

  • Strong foundation in Artificial Intelligence and Machine Learning, with hands-on application experience

  • Proficiency in Python programming is essential, with additional familiarity in C++ for computational tasks

  • Exposure to deep learning frameworks such as TensorFlow or PyTorch is expected

  • Solid quantitative background, with knowledge of mathematics, statistics, and modeling techniques

  • Educational qualifications may include a bachelor’s or advanced degree in Computer Science, Mathematics, AI, Financial Engineering, or related fields

  • Financial dataset experience is advantageous but not mandatory, making the role accessible for candidates from academic or tech backgrounds

  • A research mindset is critical, demonstrating curiosity, persistence, and an appetite for tackling open-ended challenges

  • Excellent problem-solving skills and ability to adapt tools and techniques to diverse datasets

  • Strong communication and presentation abilities to explain results to both technical and non-technical stakeholders

  • Collaboration and teamwork skills to operate effectively in cross-functional environments


Additional info

  • The position provides a unique opportunity to bridge the gap between data science, AI innovation, and financial applications

  • Candidates will have access to cutting-edge datasets, proprietary research platforms, and global expertise

  • A portion of the work focuses on exploratory research, enabling candidates to innovate without immediate production constraints

  • The role emphasizes end-to-end ownership, from gathering requirements and prototyping to scaling solutions into production systems

  • Applicants must be open to fast-paced learning environments, where new technologies and methodologies are continuously evaluated and implemented

  • WorldQuant ensures a supportive work culture, offering mentorship and collaboration across global teams

  • The role aligns with the company’s broader mission to democratize quant finance through its BRAIN initiative

  • Equal opportunity hiring ensures fair consideration for all applicants, irrespective of background

  • The position is suited for individuals who enjoy continuous growth, curiosity-driven research, and applying technical skills in high-impact contexts

  • 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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