Senior LLM Engineer
SmartAsset- Full Time
- Senior (5 to 8 years)
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.
Join our AI/LLM initiative, a pioneering project focused on integrating Large Language Models (LLMs) with WorldQuant's strategy management tools. As an intern, you will contribute to building a platform that offers AI-assisted insights and automates tasks for Portfolio Managers. This is an opportunity to work on foundational infrastructure, data pipelines, and user-facing AI applications.
We are looking for an enthusiastic Intern Software Engineer to support the AI/LLM initiative team. You will assist in various aspects of the software development lifecycle, including development, testing, documentation, and data analysis. A key aspect of this role will involve supporting the deployment of new tools and providing assistance to end-users, particularly Portfolio Managers, during the installation and initial usage phases. This role offers a unique opportunity to gain hands-on experience with Python, API development, financial data systems, tool deployment processes, and cutting-edge AI technologies within a leading quantitative investment firm.
Quantitative asset management using algorithms
WorldQuant is a quantitative asset management firm that focuses on managing investments for institutional clients like pension funds and sovereign wealth funds. The firm uses data and predictive algorithms to analyze financial markets and identify investment opportunities. Its approach involves algorithmic trading, where mathematical models guide investment decisions. Unlike many competitors, WorldQuant encourages a culture of experimentation and innovation among its employees, allowing everyone to contribute ideas regardless of their position. The company's goal is to generate returns for its clients while maintaining a commitment to equal opportunity in the workplace.