Website:
uptye.com
Job details:
About the Opportunity
- We are a Category III Alternative Investment Fund looking for an experienced professional to lead our fund operations, investor reporting, and data automation initiatives.
- This role sits at the core of the firm’s operational infrastructure and will be responsible for ensuring accurate fund accounting, seamless investor servicing, and building technology-enabled processes to support the investment team.
- The position also involves supervising a small team of analysts and driving operational efficiency across the platform.
Key Responsibilities
Fund Accounting & NAV Management
- Prepare and validate daily or periodic NAV calculations for Category III AIF strategies including long-short equity and derivatives exposure.
- Reconcile positions and cash balances by coordinating with custodians, brokers, fund administrators, and banking partners.
- Monitor trade settlements, verify contract notes, and ensure accurate portfolio holdings and ledger records.
- Calculate and review management fees, performance fees (including high-water mark calculations), expense allocations, entry/exit loads, and tax provisions.
- Support regulatory compliance and reporting requirements including SEBI AIF filings, audit coordination, and tax reporting with external advisors.
Investor Operations & Reporting
- Manage investor onboarding processes including KYC documentation, subscription/redemption workflows, and capital account tracking.
- Prepare and distribute investor statements, performance updates, and periodic reporting packs.
- Maintain accurate investor records, CRM updates, and documentation within internal data repositories.
- Address investor queries and coordinate internally to ensure timely and accurate responses.
Process Automation & Technology
- Develop and maintain Excel, Google Sheets, and Python-based tools to improve operational workflows.
- Build automated models for NAV computation, fee calculations, reconciliation tracking, and exception monitoring.
- Implement dashboards and validation checks to minimize manual intervention and enhance data accuracy.
- Continuously identify opportunities to streamline processes and introduce automation.
Data & Analytics Support for Investment Team
- Maintain organized datasets related to portfolio holdings, market prices, and financial fundamentals used by the research team.
- Create reusable analytical frameworks for:
- Portfolio performance attribution
- Drawdown analysis
- Risk and factor metrics (Sharpe ratio, beta, tracking error, VaR)
- Portfolio stress testing and analytics
- Support the investment team with custom analysis, backtests, and data preparation using Excel and Python libraries such as pandas and numpy.
Team Leadership
- Supervise and guide two junior analysts, ensuring accuracy and timeliness of operational outputs.
- Provide training on fund accounting concepts, automation tools, and best practices in operations.
- Establish clear SOPs, documentation, and process frameworks to maintain operational consistency and scalability.
Required Qualifications
Experience
- 4–6 years of experience in fund accounting, fund operations, or middle office functions.
- Prior exposure to AIF, PMS, or mutual fund operations is essential.
- Understanding of trade lifecycle management, settlement processes (T+1 / T+2), and mark-to-market accounting.
- Familiarity with corporate actions processing, reconciliations, and NAV calculation methodologies.
- Experience with performance fee structures and high-water mark calculations is preferred.
- Knowledge of Category III AIF structures including leverage and derivatives strategies is an advantage.
Technical Skills
- Advanced Excel including complex formulas, pivot tables, and functions such as INDEX-MATCH, VLOOKUP/XLOOKUP, conditional logic, and data validation.
- Working knowledge of Python (pandas, numpy) for data processing and automation.
- Experience with VBA or macro-based automation is beneficial.
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