WorldQuant-posted 6 months ago
Full-time • Intern
Old Greenwich, CT
1,001-5,000 employees
Funds, Trusts, and Other Financial Vehicles

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

  • Assist senior developers in the design, development, and testing of MCP server components and tools using Python.
  • Contribute to the enhancement of existing tools, potentially including our internal command-line data access tools, by addressing smaller bugs or implementing specific features under guidance.
  • Support the development of new MCPs by working on well-defined modules or tasks.
  • Facilitate the deployment of newly developed tools and software packages to user environments.
  • Collaborate with Portfolio Managers and other end-users to guide them through tool installation processes and provide initial user support.
  • Participate in unit testing and integration testing efforts, helping to ensure software quality.
  • Assist in data validation and reconciliation tasks for strategy metrics and features.
  • Help create and update technical documentation for MCPs, related systems, and user guides.
  • Support the investigation of data sources and assist in finalizing data specifications.
  • Collaborate with the team on debugging and troubleshooting technical issues.
  • Gain exposure to financial data concepts (PnL, risk) and quantitative trading systems.
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Basic to intermediate proficiency in Python programming.
  • Understanding of software development principles and methodologies.
  • Familiarity with data structures and algorithms.
  • Interest in finance, quantitative trading, or financial data.
  • Basic understanding of APIs and data formats like JSON or CSV.
  • Experience with Linux or a similar Unix-like operating system.
  • Familiarity with version control systems (e.g., Git).
  • Basic understanding of software deployment concepts.
  • Hands-on experience with Python, API development, financial data systems, tool deployment processes, and cutting-edge AI technologies.
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