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Job Title:

PE & credit analyst

Company: ALESAYI HOLDING | العيسائي القابضة

Location: Thane, Maharashtra

Created: 2026-04-21

Job Type: Full Time

Job Description:

Purpose of the roleAnalyse, monitor, and conduct due diligence on private equity, private credit, venture capital, and co-investment opportunities across Layers 2 and 3 of the global portfolio. Work directly with the AI Lab’s tools to amplify analytical capacity and contribute to the institutional knowledge base.Key responsibilitiesMonitor and analyse 10–15 PE/VC/credit fund investments: capital call and distribution tracking, NAV analysis, portfolio company updates, IRR computation, and vintage year benchmarking.Conduct due diligence on prospective PE/credit managers: fund strategy analysis, GP track record, team assessment, fund terms analysis, and reference checks.Analyse co-investment opportunities: company-level financial analysis, valuation, risk assessment, and IC recommendation preparation.Track commitment pacing: unfunded commitments, expected capital call schedule, liquidity planning, and over-commitment strategy.Use AI Lab NLP outputs to analyse fund quarterly reports: extract portfolio company performance, identify emerging risks, and track GP commentary trends over time.Monitor private credit portfolio risk: borrower credit quality, covenant compliance, default rates, and recovery analysis.Maintain the PE/credit knowledge base: PPMs, quarterly reports, capital account statements, and co-investment memos ingested into the Document Intelligence Engine.Qualifications and experienceCFA or CAIA preferred. 3–5 years of experience in private equity fund analysis, private credit, or alternative investment due diligence.Strong analytical skills: financial modelling, performance attribution, risk analysis.Proficiency in Excel, Bloomberg/Capital IQ, and willingness to adopt AI Lab tools (dashboards, chat interface, screening algorithms).Excellent written communication: ability to produce IC-quality memoranda with clear recommendations.Bachelor’s or Master’s degree in finance, economics, or a quantitative discipline.Self-starter comfortable working independently in a distributed team environment.

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