Senior AI Software Developer

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.

The Role: We are building a new software engineering team with strong applied AI orientation to amplify WorldQuant's success. The team is focusing on creating company-wide applications to address our colleagues’ every day problems. You will have a chance to work with a broad range of teams at WorldQuant, helping them to be more productive with custom solutions.

• Collaborate with cross-functional distributed teams.
• Gather, analyze and spec out requirements, and manage product deliverables.
• Design and build scalable AI-driven products addressing real-world problems.
• Stay current with the latest technical advancements, particularly in the field of AI and LLMs.

What You’ll Bring:

• Work experience as a software engineer with strong programming skills, preferably in Python.
• Exceptional analytical skills and a passion for solving complex problems.
• Thorough understanding of how AI works and familiarity with language models.
• Understanding of vector databases and other relevant data structures.
• Working knowledge in various databases and messaging technologies is a strong plus. (SQL, Redis, Kafka etc.)
• Excellent communication skills in English.
• Mature, thoughtful attitude with the ability to operate in a collaborative, team-oriented culture.
• A strong delivery mind-set, drive to get things done.
• Experience in finance is not required.
  
  

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