Senior Portfolio Risk Analyst

3 days ago

kurnool, India Arcana 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—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.ResponsibilitiesCollaborate with product, engineering, and data science teams to build robust portfolio intelligence tools and analytics componentsBuild, interpret, and explain factor-based risk decompositions, volatility forecasts, and correlation structures using risk modelsPartner with clients to translate their investment process into repeatable workflows inside Arcana.Analyze portfolio- and security-level performance, risk, and attributionDecompose returns to identify key drivers of alpha, beta, and idiosyncratic outcomesConduct market, macroeconomic, and security-level research to support client workflows and product insightsValidate, interpret, and clearly communicate financial metrics to both internal stakeholders and clientsRequirements2–4 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 datasetsDeep understanding of core investment concepts: portfolio theory, risk attribution, yield, drawdown, correlation, and volatilityExcellent at communicating with institutional clients—including portfolio managers, analysts, CIOs, and risk managers—with the ability to distill complex analysis into clear, actionable insightsDemonstrated deep interest in financial markets, investment strategies, and institutional workflowsSelf-starter with the ability to work independently in a fast-paced, remote 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 field.Minimum GPA of 8.0+ (required), IIT/IIM/ISB preferred.CFA, FRM, or MBA is a strong plusFamiliarity with an equity risk model (MSCI Barra, Axioma, Wolfe)Experience with tools like Bloomberg, FactSet, or data programming languages (Python, R) is a bonus

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