{"schemaVersion":"jobsearcher.job.v1","id":"40fdea2e67bfd5ffe722000c","url":"https://jobsearcher.com/jobs/40fdea2e67bfd5ffe722000c","canonicalUrl":"https://jobsearcher.com/jobs/40fdea2e67bfd5ffe722000c","title":"Quantitative Developer - AI Implementation","description":"Project Overview\r\nWe are building a cutting-edge initiative to integrate large language models with our proprietary strategy management tools. This project aims to provide AI-assisted insights, automate routine analytical tasks, and enable natural language interactions for portfolio managers to more efficiently analyze, maintain, and enhance trading strategies. The focus is on building foundational infrastructure, data pipelines, and a secure, user-centric interface that protects intellectual property.\r\nThe Role\r\nWe are seeking a talented and motivated Full-Time Software Engineer to play a key role in developing and enhancing this AI-driven platform. You will design, build, and maintain critical components of the system, primarily focusing on the Model Context Protocol (MCP) servers that form the backbone of the platform.\r\nKey Responsibilities\r\nDesign, develop, test, and deploy robust and scalable MCP servers and related tools in Python.\r\nEnhance existing MCPs, including internal data access tools, to ensure reliable access to strategy metadata, historical PnL data, and PnL attribution by risk factors.\r\nDevelop new MCPs for direct data system integration, strategy analytics, and performance reporting.\r\nDesign and implement secure prompt engineering techniques to interact with LLMs, ensuring effective information retrieval while minimizing intellectual property leakage.\r\nCollaborate with project managers, technical leads, and other developers to define technical specifications and integrate various data sources.\r\nWork on API development and integration, ensuring seamless data flow between internal knowledge management systems, simulation systems, and data warehouses.\r\nImplement data parsing and manipulation logic for various formats (JSON, CSV).\r\nContribute to the design and implementation of data pipelines for strategy metrics and features.\r\nAddress and resolve bugs and issues in existing MCP tools and infrastructure.\r\nParticipate in code reviews, and contribute to unit and integration testing efforts.\r\nCreate and maintain technical documentation for developed components.\r\nStay updated with emerging technologies and methodologies in AI, LLMs, prompt engineering, and financial technology.\r\nWhat You'll Bring\r\nCore Skills\r\nStrong proficiency in Python programming.\r\nProven experience in API development, integration, and consumption.\r\nSolid understanding of database interaction, data access patterns, and data modeling.\r\nExperience with data parsing and manipulation libraries and techniques (e.g., pandas, JSON, CSV).\r\nUnderstanding or experience with prompt engineering principles for large language models.\r\nAwareness of data security and intellectual property protection considerations in AI and LLM applications.\r\nDomain-Specific Knowledge (Highly Beneficial)\r\nFamiliarity with financial data (e.g., PnL, Sharpe ratio, alpha, risk factors, AUM).\r\nExperience with quantitative trading systems, market data systems, or strategy management platforms.\r\nTechnical Environment Familiarity (Helpful)\r\nExperience working in a Linux environment.\r\nKnowledge of command line interface (CLI) tools and development.\r\nFamiliarity with version control systems (e.g., Git).\r\nSoft Skills\r\nExcellent problem-solving and analytical skills.\r\nStrong collaboration and communication skills.\r\nHigh attention to detail and commitment to delivering high-quality software.\r\nAbility to learn quickly and adapt to new technologies and complex systems.\r\nEducation\r\nBachelor's or Master's degree in Computer Science, Engineering, or related field.\r\nBy submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy.\r\nEqual Opportunity Statement\r\nWorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.\r\nJ-18808-Ljbffr","company":"SupportFinity","rawCompany":"supportfinity","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T02:02:25.151Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"13-2099.01","title":"Financial Quantitative Analysts","slug":"financial-quantitative-analysts"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"523940","title":"Portfolio Management and Investment Advice","slug":"portfolio-management-and-investment-advice"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Quantitative Developer - AI Implementation","description":"Project Overview\r\nWe are building a cutting-edge initiative to integrate large language models with our proprietary strategy management tools. This project aims to provide AI-assisted insights, automate routine analytical tasks, and enable natural language interactions for portfolio managers to more efficiently analyze, maintain, and enhance trading strategies. The focus is on building foundational infrastructure, data pipelines, and a secure, user-centric interface that protects intellectual property.\r\nThe Role\r\nWe are seeking a talented and motivated Full-Time Software Engineer to play a key role in developing and enhancing this AI-driven platform. You will design, build, and maintain critical components of the system, primarily focusing on the Model Context Protocol (MCP) servers that form the backbone of the platform.\r\nKey Responsibilities\r\nDesign, develop, test, and deploy robust and scalable MCP servers and related tools in Python.\r\nEnhance existing MCPs, including internal data access tools, to ensure reliable access to strategy metadata, historical PnL data, and PnL attribution by risk factors.\r\nDevelop new MCPs for direct data system integration, strategy analytics, and performance reporting.\r\nDesign and implement secure prompt engineering techniques to interact with LLMs, ensuring effective information retrieval while minimizing intellectual property leakage.\r\nCollaborate with project managers, technical leads, and other developers to define technical specifications and integrate various data sources.\r\nWork on API development and integration, ensuring seamless data flow between internal knowledge management systems, simulation systems, and data warehouses.\r\nImplement data parsing and manipulation logic for various formats (JSON, CSV).\r\nContribute to the design and implementation of data pipelines for strategy metrics and features.\r\nAddress and resolve bugs and issues in existing MCP tools and infrastructure.\r\nParticipate in code reviews, and contribute to unit and integration testing efforts.\r\nCreate and maintain technical documentation for developed components.\r\nStay updated with emerging technologies and methodologies in AI, LLMs, prompt engineering, and financial technology.\r\nWhat You'll Bring\r\nCore Skills\r\nStrong proficiency in Python programming.\r\nProven experience in API development, integration, and consumption.\r\nSolid understanding of database interaction, data access patterns, and data modeling.\r\nExperience with data parsing and manipulation libraries and techniques (e.g., pandas, JSON, CSV).\r\nUnderstanding or experience with prompt engineering principles for large language models.\r\nAwareness of data security and intellectual property protection considerations in AI and LLM applications.\r\nDomain-Specific Knowledge (Highly Beneficial)\r\nFamiliarity with financial data (e.g., PnL, Sharpe ratio, alpha, risk factors, AUM).\r\nExperience with quantitative trading systems, market data systems, or strategy management platforms.\r\nTechnical Environment Familiarity (Helpful)\r\nExperience working in a Linux environment.\r\nKnowledge of command line interface (CLI) tools and development.\r\nFamiliarity with version control systems (e.g., Git).\r\nSoft Skills\r\nExcellent problem-solving and analytical skills.\r\nStrong collaboration and communication skills.\r\nHigh attention to detail and commitment to delivering high-quality software.\r\nAbility to learn quickly and adapt to new technologies and complex systems.\r\nEducation\r\nBachelor's or Master's degree in Computer Science, Engineering, or related field.\r\nBy submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy.\r\nEqual Opportunity Statement\r\nWorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.\r\nJ-18808-Ljbffr","datePosted":"2026-07-16T02:02:25.151Z","dateModified":"2026-07-16T02:02:25.151Z","hiringOrganization":{"@type":"Organization","name":"SupportFinity","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"40fdea2e67bfd5ffe722000c"},"url":"https://jobsearcher.com/jobs/40fdea2e67bfd5ffe722000c"}}