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
Skills Required
- 2-4+ years of experience in a front-office financial role such as investment banking, hedge fund, or asset management
- Exceptional analytical and Excel skills
- Strong proficiency in financial modeling and interpreting large datasets
- Deep understanding of portfolio theory, risk attribution, yield, drawdown, correlation, and volatility
- Excellent communication skills with institutional clients and ability to explain complex analysis clearly
- Strong interest in financial markets, investment strategies, and institutional workflows
- Ability to work independently in a fast-paced, remote environment
- Familiarity with institutional investment processes, research platforms, and financial data tools
- Bachelor's or Master's degree in Finance, Economics, Engineering, or a related field from a top-ranked university
- First-Class Honours degree or international equivalent
- CFA, FRM, or MBA
- Experience with Bloomberg, FactSet, Python, or R
What We Do
Arcana enables institutional investors to understand their portfolio risks, decompose single stock & book performance, drill into crowding, and isolate their idiosyncratic differentiation. Built on our proprietary crowding, ownership, factor risk, and performance datasets. The company's investors include D1 Capital, Duquesne (Stan Druckenmiller), Tiger Global, Abstract Ventures, GoldenTree Asset Management, Ryan Roslansky (CEO LinkedIn), and Akshay Kothari (COO Notion), among others.
