WorldQuant

About the Company

WorldQuant is a global quantitative asset management firm with over $7 billion in assets under management. Founded in 2007 by Igor Tulchinsky with the belief that talent is global, but opportunity is not, WorldQuant has more than 1,000 employees spread among 27 global offices. WorldQuant seeks to get to the future faster, guided by the principle that there are an infinite number of insights to discover. The firm develops and deploys investment strategies across a variety of asset classes in global markets. For more information on WorldQuant’s philosophy and culture, please visit www.worldquant.com.

Listed Jobs

Company Name

WorldQuant

Job Title

Quantitative Developer - AI Implementation

Job Description

**Job Title:** Quantitative Developer - AI Implementation **Role Summary:** Develop and maintain an AI-driven platform integrating large language models (LLMs) with proprietary financial systems to automate analytical tasks, enhance trading strategies, and enable natural language interactions for portfolio management. Focus on building infrastructure, secure data pipelines, and LLM-optimized interfaces while ensuring intellectual property protection. **Expectations:** - Strong Python proficiency and API development experience. - Database interaction, data parsing (JSON/CSV), and prompt engineering expertise. - Collaboration with cross-functional teams to design scalable systems. **Key Responsibilities:** - Design, deploy, and maintain Model Context Protocol (MCP) servers for strategy data access, analytics, and performance reporting. - Enhance existing MCP tools for data retrieval, historical PnL, and risk attribution. - Develop new MCPs for data system integration, strategy analysis, and performance metrics. - Implement secure LLM interactions with robust data pipelines and risk mitigation for IP protection. - Build APIs and data parsing logic for seamless system integration (e.g., simulation tools, data warehouses). - Conduct code reviews, testing, and technical documentation. - Stay current with AI/LLM advancements and apply to financial applications. **Required Skills:** - Python programming - API development (design, integration, testing) - Database interaction/data modeling - Data parsing/manipulation (pandas, JSON/CSV) - Prompt engineering for LLMs - Data security/IP protection awareness **Required Education & Certifications:** *Not specified*

West palm beach, United states

On site

22-12-2025

Company Name

WorldQuant

Job Title

AI Software Developer

Job Description

Job Title: AI Software Developer Role Summary: Design, develop, and deploy AI‑driven applications that solve operational challenges for internal teams. Work collaboratively across distributed, cross‑functional groups to translate business requirements into scalable software solutions, with a focus on large language models, vector databases, and real‑time data pipelines. Expectations: - Build high‑quality, production‑ready code in a fast‑moving environment. - Demonstrate deep knowledge of AI concepts, particularly LLMs, and apply that to feature design. - Own end‑to‑end delivery, from requirements gathering to release and post‑deployment support. Key Responsibilities: - Conduct requirement analysis, write functional specifications, and prioritize features for iterative delivery. - Design and implement scalable, maintainable codebases in Python, integrating AI models, vector similarity search, and messaging/streaming systems. - Build and maintain data pipelines and infrastructure (SQL, Redis, Kafka, etc.) to support AI workloads. - Collaborate with researchers, portfolio managers, and product stakeholders to iterate on solutions and validate business impact. - Stay current with advances in AI, language models, and related tooling; evaluate and incorporate relevant technologies. - Mentor junior engineers and contribute to best‑practice documentation and coding standards. Required Skills: - Proficient in Python; experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face). - Strong analytical problem‑solving skills. - Understanding of how language models work and experience deploying them in production. - Knowledge of vector databases (e.g., Pinecone, FAISS, Milvus) and similarity search techniques. - Working experience with relational databases (SQL) and in‑memory/data structures (Redis). - Familiarity with streaming/messaging technologies (Kafka, RabbitMQ) is a plus. - Excellent written and verbal communication in English. - Self‑driven, collaborative mindset with a focus on timely delivery. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - Relevant technical certifications (e.g., AWS Certified Machine Learning, TensorFlow Developer) are a plus but not mandatory.

London, United kingdom

Hybrid

29-12-2025