Portfolio Intelligence Specialist

2 days ago

Agra, Uttar Pradesh, India beBeeInvestment Full time ₹ 1,00,00,000 - ₹ 2,50,00,000

Arcana is a portfolio intelligence platform used by institutional investors to analyze performance and risk. We're rethinking the tools they rely on—and we're hiring experts who want to drive that transformation.

This isn't a typical analyst role. Our specialists work directly with product, engineering, and data science teams to shape institutional-grade financial software.

Responsibilities

  • Collaborate with cross-functional teams to build robust portfolio intelligence tools and analytics components
  • Analyze portfolio- and security-level performance, risk, and attribution metrics
  • 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

  • 1–3 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 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 clear, actionable insights
  • Demonstrated deep interest in financial markets, investment strategies, and institutional workflows
  • 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
  • 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

We offer a dynamic and challenging work environment with opportunities for growth and professional development.

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