WorldQuant ยท 5 hours ago
Quantitative Developer - AI Implementation
WorldQuant develops systematic financial strategies across global markets and is seeking a talented Quantitative Developer to enhance their AI-driven platform. The role involves designing, building, and maintaining critical components of the system, focusing on integrating Large Language Models with proprietary strategy management tools.
Asset Management
Responsibilities
Design, develop, test, and deploy robust and scalable MCP servers and related tools in Python
Enhance existing MCPs, including our internal data access tools, to ensure reliable access to strategy metadata, historical PnL data, and PnL attribution by risk factors
Develop new MCPs, including but not limited to MCPs for direct data system integration, MCPs for strategy analytics, and MCPs for performance reporting
Design and implement secure prompt engineering techniques to interact with LLMs, ensuring effective information retrieval while minimizing the risk of intellectual property leakage
Collaborate with project managers, technical leads, and other developers to define technical specifications and integrate various data sources
Work on API development and integration, ensuring seamless data flow between different systems (internal knowledge management systems, simulation systems, data warehouses)
Implement data parsing and manipulation logic for various formats (JSON, CSV)
Contribute to the design and implementation of data pipelines for strategy metrics and features
Address and resolve bugs and issues in existing MCP tools and infrastructure
Participate in code reviews, and contribute to unit and integration testing efforts
Create and maintain technical documentation for developed components
Stay updated with emerging technologies and methodologies in AI, LLMs, prompt engineering, and financial technology
Qualification
Required
Strong proficiency in Python programming
Proven experience in API development, integration, and consumption
Solid understanding of database interaction, data access patterns, and data modeling
Experience with data parsing and manipulation libraries and techniques (e.g., pandas, JSON, CSV)
Understanding of or experience with prompt engineering principles for Large Language Models
Awareness of data security and intellectual property protection considerations in the context of AI and LLM applications
Excellent problem-solving and analytical skills
Strong collaboration and communication skills, with the ability to work effectively in a team
High attention to detail and commitment to delivering high-quality software
Ability to learn quickly and adapt to new technologies and complex systems
Bachelor's or Master's degree in Computer Science, Engineering
Preferred
Familiarity with financial data (e.g., PnL, Sharpe ratio, alpha, risk factors, AUM)
Experience with quantitative trading systems, market data systems, or strategy management platforms (familiarity with internal data systems or command-line data tools is a significant plus)
Experience working in a Linux environment
Understanding of Command Line Interface (CLI) tools and development
Familiarity with version control systems (e.g., Git)
Company
WorldQuant
WorldQuant is a quantitative investment management firm.
H1B Sponsorship
WorldQuant has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (19)
2024 (19)
2023 (19)
2022 (28)
2021 (35)
2020 (29)
Funding
Current Stage
Late StageRecent News
Combat Antisemitism Movement
2025-11-08
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