LLM Developer - Data Intelligence

WorldQuant develops and deploys systematic financial strategies across global markets using proprietary research platform to produce predictive signals.
Machine Learning
Mid-Level Software Engineer
In-Person
AI · Finance

Description For LLM Developer - Data Intelligence

WorldQuant is a global quantitative finance firm that develops and deploys systematic financial strategies across various asset classes and markets. The company is seeking an LLM Developer focused on Data Intelligence to join their technology team. The role combines cutting-edge AI/ML technologies with financial markets applications.

The position offers a unique opportunity to work in an intellectually driven environment where academic sensibility meets practical results. The successful candidate will be part of a collaborative team that develops proprietary Machine Learning systems and tools to drive business strategies. While prior finance experience isn't required, candidates should have a strong interest in learning about finance and global markets.

The role requires expertise in large language models, agent development, and AI/ML platforms, along with strong programming skills in Python and familiarity with cloud environments. You'll work with modern technologies including GPT-4, Langchain, Huggingface, and vector databases, while collaborating with researchers and portfolio managers.

WorldQuant values intellectual horsepower and innovative thinking, encouraging employees to challenge conventional wisdom and continuously improve. The company culture promotes open problem-solving, balancing intellectualism with practicality. They seek individuals who can think in code and are motivated by working alongside like-minded professionals in a relaxed yet intellectually stimulating environment.

This position offers an excellent opportunity for someone passionate about AI/ML to apply their skills in the dynamic field of quantitative finance, working with cutting-edge technology while contributing to the development of sophisticated financial strategies.

Last updated a month ago

Responsibilities For LLM Developer - Data Intelligence

  • Design, code, test and implement proprietary Machine Learning systems
  • Collaborate with teams to gather and analyze requirements
  • Develop and test code
  • Manage product deliverables

Requirements For LLM Developer - Data Intelligence

Python
  • Experience with large language models (GPT-4) and embedding models
  • Experience with Agent development (Langchain or Huggingface)
  • Practical experience with AI/ML platforms like Vertex AI
  • Knowledge of vector databases (Pinecone, Milvus, Faiss)
  • Strong background in Machine Learning and Data Science
  • Familiarity with Python and data libraries (Pandas, Numpy)
  • Knowledge of cloud environments, preferably GCP
  • Strong problem-solving skills
  • Clear and concise communication

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