
Financial Analyst Position
1 day ago
Arcana's portfolio intelligence platform is used by institutional investors to analyze performance and risk. We are seeking talented analysts who want to drive transformation in the tools that these investors rely on.
This is not a typical analyst role. Our team members work closely with product, engineering, and data science teams to shape financial software for institutional clients. If you're an analyst looking for more impact, ownership, and the chance to help create real tools for investors—we'd love to talk.
Responsibilities
- We collaborate with our cross-functional teams to build robust portfolio intelligence tools and analytics components
- We analyze portfolio- and security-level performance, risk, and attribution
- We decompose returns to identify key drivers of alpha, beta, and idiosyncratic outcomes
- We conduct market, macroeconomic, and security-level research to support client workflows and product insights
- We validate, interpret, and clearly communicate financial metrics to internal stakeholders and clients
Required Skills and Qualifications
- 1–3 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 complex analysis to institutional clients—including portfolio managers, analysts, CIOs, and risk managers
- Demonstrated deep interest in financial markets, investment strategies, and institutional workflows
- Familiarity with institutional investment processes, research platforms, and financial data tools
Benefits and Opportunities
- Bachelor's or Master's degree from a top-ranked university in Finance, Economics, Engineering, or a related field
- Minimum GPA of 8.0+ (required), IIT/IIM/ISB preferred
- CFA, FRM, or MBA is a strong plus
- Experience with tools like Bloomberg, FactSet, or data programming languages (Python, R) is a bonus
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