Overview
Join the AI/LLM initiative at WorldQuant, a pioneering project where you'll help integrate cutting-edge large language models with our quantitative investment platform. As an intern, you'll work directly with our engineering team to build tools that provide AI-powered insights and automate workflows for our Portfolio Managers. This role offers a unique blend of software development, user support, and exposure to quantitative finance.
What You'll Get Out of This Internship
· Gain hands-on experience building and deploying AI-driven tools in a real-world, high-impact financial environment.
· Develop core software engineering skills in Python, API development, and system deployment within a professional workflow.
· Receive direct mentorship from senior engineers while supporting real end-users, bridging the gap between development and practical application.
· Build a foundational understanding of quantitative finance, including financial data systems and strategy management tools.
· Contribute to foundational project infrastructure, adding significant experience to your technical portfolio.
Key Responsibilities
· Assist in the development, testing, and refinement of Python-based server components and AI tools under the guidance of senior engineers.
· Support the deployment process for new software packages and help guide Portfolio Managers through installation and initial use.
· Contribute to improving internal tools by implementing well-defined features or addressing specific bugs.
· Participate in testing cycles to help ensure the reliability and quality of new software releases.
· Help create and maintain clear technical documentation and user guides for new systems and tools.
· Assist with data validation tasks to ensure accuracy and consistency across financial metrics.
· Collaborate with the team to investigate and troubleshoot technical issues as they arise.
· Support the exploration and specification of new data sources relevant to the AI platform.
Requirements
· Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a similar technical field.
· Foundational to intermediate skills in Python programming.
· A solid grasp of core software development concepts and data structures.
· A proactive learner with strong problem-solving skills and great attention to detail.
· Good communication skills, with the ability to explain technical concepts to both engineers and end-users.
· Familiarity with Linux command-line environments and version control (like Git) is a plus.
· An interest in finance or data analysis is beneficial, but a strong desire to learn is most important.
Who This Internship Is Ideal For
A curious and proactive computer science or engineering student who thrives on technical challenges, enjoys both building and helping others use new tools, and wants to explore the intersection of AI and quantitative finance.
About the Company
WorldQuant is a global quantitative investment firm that develops data-driven financial strategies across global markets. The firm cultivates a unique culture that emphasizes innovative thinking, academic rigor, and practical results.
Internship Details
Location: Singapore, Singapore
Duration: Minimum 4 months
Commitment: Full-time
Working Arrangement (Onsite/Hybrid/Remote): On-site
Stipend (if provided): To be discussed during the application process.
Application Deadline: When role is filled
