Portfolio Intelligence Specialist

3 days ago

erode, India beBeeAnalyst Full time

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.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 and ownership, we'd love to talk about how you can make a difference in our field.ResponsibilitiesCollaborate with teams to build robust portfolio intelligence tools and analytics componentsAnalyze portfolio- and security-level performance, risk, and attribution to drive informed investment decisionsDecompose returns to identify key drivers of alpha, beta, and idiosyncratic outcomes and develop actionable insightsConduct market, macroeconomic, and security-level research to support client workflows and product developmentValidate, interpret, and clearly communicate financial metrics to both internal stakeholders and clientsRequirements1–3 years of experience in a front-office financial role (investment banking, hedge fund, asset management)Exceptional analytical and Excel skills, with strong proficiency in financial modeling and interpreting large datasetsDeep understanding of core investment concepts: portfolio theory, risk attribution, yield, drawdown, correlation, and volatilityExcellent communication skills, with the ability to distill complex analysis into clear, actionable insights for institutional clientsDemonstrated deep interest in financial markets, investment strategies, and institutional workflowsSelf-starter with the ability to work independently in a fast-paced environmentFamiliarity with institutional investment processes, research platforms, and financial data toolsQualificationsBachelor's or Master's degree from a top-ranked university in Finance, Economics, Engineering, or a related fieldMinimum GPA of 8.0+ (required), IIT/IIM/ISB preferredCFA, FRM, or MBA is a strong plusExperience with tools like Bloomberg, FactSet, or data programming languages (Python, R) is a bonus

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