Hedge Fund Data Analyst, Investor Relations

About the Firm

III Capital Management is a $5.4+ billion AUM alternative asset manager based in Boca Raton, Florida. They specialize in relative value fixed income, convexity/derivative trading, and long/short credit strategies, serving an institutional investor base including endowments, pensions, sovereign wealth funds, and family offices.

About the Role

This is a newly created role within the Investor Relations team, focusing on building analytical infrastructure for client reporting, communication, and solution development. The position sits at the intersection of financial markets, data engineering, and client-facing analytics. The analyst will work directly with the Head and Deputy Head of Investor Relations to transform portfolio, risk, and market data into essential investor materials. This role requires a hands-on, self-directed approach to coding, data pipeline structuring, and utilizing AI tools.

What You'll Work On

• Historical data analysis: Sourcing, cleaning, and analyzing historical market and portfolio data to support performance narratives and competitive positioning.
• Trade strategy analysis: Summarizing the mechanics, risk/return profile, and performance drivers of relative value and derivative strategies for investor audiences.
• Portfolio construction support: Modeling allocation scenarios, performing correlation and drawdown analysis, and strategy blending for multi-strategy portfolio work.
• Portfolio proposals: Building customized proposals and analytics for prospective and existing investors.
• Client communications: Translating technical analysis into polished materials (decks, one-pagers, DDQ responses, data exhibits) for investor meetings and correspondence.

Requirements & Tech Stack

• Technical Skills
• Fluency in SQL, Python, C#.
• Strong Excel skills, including building and auditing complex models.
• Fluency with AI tools for accelerated analysis and internal tool development.
• Experience with Claude Code or similar agentic coding tools is a strong plus.
• Domain and Communication Skills
• Genuine curiosity about financial markets, with particular interest in derivatives and relative value trading.
• Strong written and verbal communication skills, capable of explaining quantitative concepts to non-technical or semi-technical audiences.
• High attention to detail and comfort in a fast-paced, client-facing environment.
• Collegial, low-ego style, comfortable working with senior team members and independently.

Qualifications

• Background
• Bachelor's degree required; quantitative, finance, economics, computer science, or related field preferred.
• 0–2 years of relevant experience (internships, coursework projects, or prior analyst roles).
• Demonstrated ability is valued over pedigree.