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Capstone Investment Advisors

Capstone Investment Advisors

www.capstoneco.com

2 Jobs

394 Employees

About the Company

We are a forward-thinking global asset manager, dedicated to exploring alpha opportunities in derivatives and complementary strategies that persist across market cycles. Together with our investors we explore the overlooked to innovate new strategies and solutions in pursuit of differentiated returns and outcomes.

Listed Jobs

Company background Company brand
Company Name
Capstone Investment Advisors
Job Title
AI Engineer
Job Description
Job Title: AI Engineer Role Summary: Design, develop, and deploy AI/ML/LLM solutions that power investment workflows. Build chat agents, copilots, automation pipelines, and retrieval‑augmented generation systems. Collaborate with domain experts to translate financial insights into actionable AI features and maintain production‑ready services. Expactations: Deliver scalable, high‑performance AI tools that support investment professionals. Translate complex market data into intuitive AI capabilities. Continuously improve AI services for reliability and speed. Serve as an internal AI subject‑matter expert, guiding stakeholders on feasibility and impact of AI initiatives. Key Responsibilities: - Architect and implement AI/ML/LLM‑driven models, pipelines, and agents for investment processes - Develop, integrate, and maintain AI features such as chat agents, copilots, and RAG pipelines - Build and manage vector stores, MCP servers/clients, and function‑calling integrations - Prototype and deploy AI applications using Python - Partner with investment domain experts to identify, evaluate, and prioritize high‑value AI use cases - Test, validate, and monitor deployed AI services for quality, performance, and reliability Required Skills: - Advanced Python programming - Hands‑on experience with LLM APIs (OpenAI, Anthropic, etc.), LangChain, LlamaIndex, and vector store ecosystems - Knowledge of retrieval‑augmented generation, multi‑container processing, function calling, and custom MCP implementation - Familiarity with financial services, derivatives, or hedge‑fund domain (preferred) - Strong analytical, problem‑solving, and communication abilities Required Education & Certifications: - Master’s or Ph.D. in Artificial Intelligence, Machine Learning, Computer Science, or a related field
London, United kingdom
Hybrid
28-01-2026
Company background Company brand
Company Name
Capstone Investment Advisors
Job Title
Summer 2026 Risk Internship
Job Description
Job Title: Summer 2026 Risk Internship Role Summary: Provide support to the Risk Management Team by measuring, monitoring, and reporting risks associated with derivative and complementary trading strategies across all asset classes. Collaborate with trading and technology teams to develop and maintain risk analytics tools, and contribute to risk evaluation and reporting processes. Expactations: - Current undergraduate or master’s student graduating in 2026/2027. - Demonstrated interest in financial markets and risk management. - Capable of learning quickly, managing multiple tasks, and communicating findings clearly. Key Responsibilities: - Assist in the collection, cleaning, and analysis of market and portfolio data to assess risk exposures. - Develop and maintain small risk-reporting dashboards and visualizations using Python and related libraries. - Support the creation and testing of risk models and analytics tools in collaboration with trading, technology, and risk teams. - Participate in risk‑identification workshops and contribute to improvement of existing risk frameworks. - Summarize and present risk findings to stakeholders, providing actionable insights. Required Skills: - Proficiency in Microsoft Office (Excel, PowerPoint, Word, Outlook). - Experience with Python (Pandas, NumPy, sklearn, dash, plotly, flask, Django) or Java; hands‑on project work preferred. - Strong written and verbal communication abilities. - Analytical thinking with a problem‑solving mindset. - Familiarity with machine learning concepts is advantageous. Required Education & Certifications: - Pursuing an undergraduate or master’s degree in Mathematics, Financial Engineering, Computer Science, or a related quantitative field. - No specific professional certifications required, but advanced courses or certifications in data science, finance, or risk management are a plus.
London, United kingdom
Hybrid
18-02-2026