Portfolio Analytics Specialist

Arcana is a portfolio intelligence platform used by hedge funds and asset managers to analyze performance and risk. We’re rethinking the tools institutional investors rely on-and we’re hiring analysts who want to drive that transformation.

This isn’t a typical modeling-and-memos analyst role. Our analysts work directly with product, engineering, and data science to shape institutional-grade financial software. If you’re an analyst looking for more impact, more ownership, and the chance to help shape real tools for investors-we’d love to talk.

Responsibilities

• Collaborate with product, engineering, and data science teams to build robust portfolio intelligence tools and analytics components
• Analyze portfolio- and security-level performance, risk, and attribution
• Decompose returns to identify key drivers of alpha, beta, and idiosyncratic outcomes
• Conduct market, macroeconomic, and security-level research to support client workflows and product insights
• Validate, interpret, and clearly communicate financial metrics to both internal stakeholders and clients

Requirements

• 2-4+ years of experience in a front-office financial role (investment banking, hedge fund, asset management, or similar)
• Exceptional analytical and Excel skills, with strong proficiency in financial modeling and interpreting large datasets
• Deep understanding of core investment concepts: portfolio theory, risk attribution, yield, drawdown, correlation, and volatility
• Excellent at communicating with institutional clients-including portfolio managers, analysts, CIOs, and risk managers-with the ability to distill complex analysis into clear, actionable insights
• Demonstrated deep interest in financial markets, investment strategies, and institutional workflows
• Self-starter with the ability to work independently in a fast-paced, remote environment
• Familiarity with institutional investment processes, research platforms, and financial data tools

Qualifications

• Bachelor’s or Master’s degree from a top-ranked university in Finance, Economics, Engineering, or a related field
• First-Class Honours degree (or international equivalent) required
• CFA, FRM, or MBA is a strong plus
• Experience with tools like Bloomberg, FactSet, or data programming languages (Python, R) is a bonus