ADM Data Operations Analyst (Alternative Investments) – EY | Bengaluru

EY is hiring an ADM Data Operations Analyst in Bengaluru. Requires 1–3 years of experience in fund accounting, custodian banking, or financial operations, with a strong grasp of private equity and private fund workflows.

About the Company: Global Powerhouse in Financial Assurance & AI Innovation

EY (Ernst & Young) is a global leader in assurance, consulting, strategy, transactions, and tax services. Operating as a premier professional services network, EY helps digital pioneers combat data privacy threats, guides governments through intricate cash-flow crises, and delivers high-quality audits that build trust across global financial markets.

By unifying its cutting-edge technological frameworks under the centralised EY.ai platform, the firm embeds trusted artificial intelligence into its core systems. This synthesis of human ingenuity and machine learning allows EY’s multidisciplinary teams to optimise transaction operations, manage systemic risk, and pioneer a more sustainable, inclusive, and efficient business world.

About the Role: ADM Data Operations Analyst

Are you an analytical professional with a strong foundation in private markets, fund administration, or alternative investments? EY is accepting applications for a full-time, permanent ADM Data Operations Analyst within its specialised investment data division in Bengaluru, India.

In this business intelligence and analytics role, you will take absolute ownership of processing, validating, and maintaining highly accurate alternative investment data streams. The position bridges financial acumen with digital execution: you will review complex private fund documentation, resolve processing exceptions, and manage automated data extraction tools. Operating in a high-performance environment, you will play a critical role in helping institutional investors and sovereign wealth funds track capital layouts, evaluate performance metrics, and fulfill rigorous client reporting Service Level Agreements (SLAs).

Key Responsibilities & Data Quality Workflows

• Alternative Investment Document Auditing: Extract, review, and validate complex transaction data from unstructured private fund documents—specifically tracking Capital Call notices, Distribution statements, and quarterly Capital Account Statements (ILPA templates).

• Data Integrity Verification: Perform rigorous data quality checks to ensure financial metrics housed in reporting platforms perfectly align with official source documentation.

• Automated Extraction Support: Supervise and guide automated data parsing systems, identifying processing anomalies, managing systemic exceptions, and diagnosing data gaps.

• SLA & Performance Mapping: Maintain steady throughput velocity to hit predefined qualitative, productivity, and timeline-driven client reporting targets.

• Workflow Documentation: Author, update, and standardise operational Runbooks and standard operating procedures (SOPs) as alternative investment structures evolve.

• Cross-Functional Issue Resolution: Investigate transactional mismatches, coordinate with investment operations teams, and scale risk management controls to minimise operational errors.

Candidate Prerequisites & Foundational Domain Knowledge

To manage this alternative data portfolio efficiently, candidates must demonstrate an understanding of private equity structures alongside a sharp eye for numeric detail.

Academic Foundation & Tenure:

• Education Background: A Bachelor’s degree in Engineering, Finance, Accounting, Commerce, or an allied quantitative or technical discipline.

• Professional Tenure: 1 to 3 years of experience working in fund accounting, private equity investment operations, custodian banking services, or corporate asset management.

Core Domain Expertise & Technical Capabilities:

• Private Fund Workflows: Strong baseline comprehension of alternative investment fund transaction cycles, including:

  • Capital Calls: Drawdown mechanisms, commitment schedules, and funding timelines.

  • Distributions: Return of capital, realized gains tracking, and dividend parsing.

  • Fee Structures: Calculation baselines for Management Fees and performance-driven Carried Interest waterfall mechanics.

  • Valuations: Reading Net Asset Value (NAV) reporting and capital statements.

• Software & Spreadsheet Proficiency: High capability navigating Microsoft Excel to execute numeric analysis, manage database tables, and balance ledger entries.

• Analytical Mindset: Excellent problem-solving agility, clear data-privacy awareness, and a methodical commitment to maintaining error-free financial dashboards.

Key Job Details

• Role Designation: ADM Data Operations Analyst (Data Analyst / Business Intelligence Analyst)

• Hiring Entity: EY (Ernst & Young)

• Primary Corporate Location: Bengaluru, Karnataka, India

• Department Speciality: Banking Operations, Data Science & Analytics

• Employment Type: Full-Time, Permanent position

• Experience Level: 1 – 3 Years