Job Description

We’re Hiring | Performance Attribution & Benchmarks Ops Analyst
Location: Hyderabad
Work Model: Work From Office (WFO)
Shift: EMEA Shift
We are looking for a detail-oriented and analytically strong Performance Attribution, Analytics & Benchmarks Operations Analyst to support investment performance reporting across multi-asset portfolios. This is a high-impact back-office role working closely with Portfolio Managers, Risk, Accounting, and Data teams to ensure accurate, explainable, and trusted performance results.
Role Overview
The role focuses on performance measurement, attribution analysis, benchmark management, and data reconciliation. You will be responsible for explaining portfolio performance versus benchmarks and supporting client, regulatory, and internal reporting requirements.
Key Responsibilities
Calculate and validate portfolio and benchmark performance across equities, fixed income, and multi-asset portfolios
Perform Brinson-Fachler and factor-based attribution analysis
Analyze and explain portfolio over/under-performance versus benchmarks
Maintain and validate benchmark compositions and index data (MSCI, FTSE, Bloomberg, S&P, etc.)
Reconcile performance across accounting, custodian, risk, and performance systems
Support derivatives, FX, and overlay strategy attribution
Prepare performance and attribution reports for PMs, CIOs, Risk, and Clients
Provide clear performance commentary and support audits and regulatory requests
Required Skills & Experience
3–7+ years of experience in Performance Measurement / Attribution / Investment Operations
Strong understanding of portfolio return methodologies and attribution techniques
Experience with benchmarks, FX, derivatives, and multi-asset portfolios
Hands-on experience with tools such as Fact Set, MSCI, Barra, Bloomberg, Aladdin, Eagle, or similar
Advanced Excel skills; SQL, Python, or Power BI is a strong plus
Excellent analytical, communication, and stakeholder management skills

Apply for this Position

Ready to join ? Click the button below to submit your application.

Submit Application