Portfolio Intelligence Specialist

5 days ago


Jamnagar, India beBeeAnalyst Full time

About Our TeamArcana is a cutting-edge portfolio intelligence platform empowering hedge funds and asset managers to analyze performance and risk. We're transforming the tools institutional investors rely on—and we're seeking analysts who want to drive this transformation.This role offers more impact, ownership, and opportunities to shape real tools for investors.ResponsibilitiesWe 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 internal stakeholders and clients.Requirements1–3 years of experience in front-office financial roles (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 communication skills with institutional clients—including portfolio managers, analysts, CIOs, and risk managers—with the ability to distill complex analysis into 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 environment.Familiarity with institutional investment processes, research platforms, and financial data tools.QualificationsBachelor's or Master's degree from top-ranked universities in Finance, Economics, Engineering, or related fields.Minimum GPA of 8.0+ (required), IIT/IIM/ISB preferred.CFA, FRM, or MBA is highly beneficial.Experience with tools like Bloomberg, FactSet, or data programming languages (Python, R) is a bonus.



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