Key Responsibilities
1. Content Knowledge - Funds
India-Focused Coverage
• Oversee comprehensive data coverage across:
o Mutual Funds (NAVs, AUM, portfolio holdings, expense ratios)
o Pension Funds (NPS schemes, asset allocation, performance)
o Insurance-linked Funds (ULIPs)
o Alternate Investment Funds (AIFs) (Category I, II, III)
o REITs and INVITs (yield, distributions, asset-level data)

• Manage datasets including:
o Fund performance (daily NAV, historical returns)
o Portfolio holdings (equity, debt, derivatives, sector allocation)
o Risk metrics (volatility, Sharpe ratio, drawdowns)
o Fees and expenses
o Regulatory disclosures

Key Accountabilities
• Ensure accuracy, completeness, and timeliness of all funds data
• Interpret complex events:
o Portfolio changes, fund mergers, scheme reclassification
• Drive development of value-added datasets:
o Peer rankings, performance attribution, factor exposures

2. End-to-End Data Operations Management
• Own full lifecycle:
o Data sourcing ? ingestion ? validation ? enrichment ? dissemination

• Manage multiple data sources:
o Asset management companies (AMCs)
o Regulators (e.g., disclosures)
o Exchanges (for REITs/INVITs)
o Third-party vendors

• Define and track:
o SLAs, KPIs, data quality benchmarks

• Implement robust data validation frameworks:
o Cross-source reconciliation
o Exception handling workflows
• Drive automation and scalability:
o Automate NAV ingestion, portfolio parsing, and classification

3. People Leadership & Talent Development
• Lead a team of analysts, data specialists, and team leads
• Responsibilities include:
o Hiring and onboarding
o Training in:
? Funds domain knowledge
? Data tools and automation techniques

Qualifications & Experience

Education
• Bachelor’s degree in Commerce, Finance or Economics.

Experience
• 10–15+ years in:
o Funds data / asset management / financial data industry

• Strong experience in:
o Mutual fund analytics and operations
o Fund accounting or performance measurement

• Proven track record in:
o Operations leadership
o Large-scale data management