Portfolio Intelligence Specialist

4 days ago


Bikaner, Rajasthan, India beBeeInvestment Full time ₹ 1,20,00,000 - ₹ 2,00,00,000

We are seeking a highly skilled and analytical individual to join our team as a Portfolio Intelligence Specialist.

Job Description

As a Portfolio Intelligence Specialist, you will be responsible for analyzing and interpreting large datasets to provide actionable insights to our clients. You will work closely with our product, engineering, and data science teams to develop robust portfolio intelligence tools and analytics components.

You will analyze portfolio- and security-level performance, risk, and attribution, decompose returns to identify key drivers of alpha, beta, and idiosyncratic outcomes, and conduct market, macroeconomic, and security-level research to support client workflows and product insights.

You will also validate, interpret, and clearly communicate financial metrics to both 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 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
  • Self-starter with the ability to work independently in a fast-paced, remote environment
  • Familiarity with institutional investment processes, research platforms, and financial data tools
Benefits
  • 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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