Investment Banking Associate

Investment Banking Associate – Samaveda CapitalHyderabad | Early Employee Equity | AI-Native Investment Bank₹8.4L → ₹12L base + bonuses + ESOPsThe Role in 15 SecondsWe’re building India’s first AI-native investment bank for the ₹10–100Cr mid-market — the most chaotic, opaque, underbanked segment in Indian finance.Your job:Be the human side of the AI-human hybrid model we’re building.Execute deals today, and teach the AI what to automate tomorrow.Market we're exploiting:95%+ deals fail due to poor execution:95%+ deals fail due to poor executionPromoters sit on messy financials or incomplete GST returnsValuations are guessworkAdvisors are unstructuredDue diligence is manual chaosInvestors don’t trust any numbers under ₹100Cr toplineAI changes this. But only if you have the dealflow, domain knowledge, and structured data to train it. That’s what Samaveda is building.VisionWe are building a full-stack AI-driven M&A infrastructure layer for India, to solve the pain points faced by 6.3 Millions SMEs.Where We Are Today6-months in:10+ live mandates, Retainers (cleantech, manufacturing, Textiles)12-month Pilot partnership with an enterprise clientInnopreneurs Top 100 Startups in IndiaActive inbound dealflowAI valuation engine v1 built, MVP of v2 underway with real companiesPipeline of 100Cr+We are early — but at the right moment in the AI curve.Your Role (AI x Deals x Systems = Leverage)1. Deal Execution (70%)This is the data that trains our AI.You will:Convert messy promoter files into clean, structured dataroomsExtract insights from GST, P&L, BS, cash cyclesBuild valuation models that later become automated templatesPrepare investor-ready memos that become training dataRun closing mechanics and timelinesYour execution directly becomes product.2. Investor Coordination (20%)Sector-level investor mappingPreparing IC-quality memosRunning follow-upsCapturing investor behavior → fed into matchmaking engineYour pattern recognition → becomes ML feature engineering data.3. Process + AI Feedback Loop (10%)Build SOPsStandardize deal workflowsDocument repetitive tasks that should be automatedCollaborate with CTO to convert human workflows → automation pipelinesYou are not a user of the product — you are the co-architect of what gets automated.12-Month Growth MapMonth 1–2:Learn the execution engine.Document broken workflows.Fix the pipeline.Month 3–5:Close your first deal.Identify the 3 workflows that MUST be automated first.Month 6–9:Own 10+ mandates.Start co-designing the AI valuation + dataroom modules.Month 9–12:Become Head of Deal Ops, controlling both execution and automation priorities.This is not an analyst → associate → VP ladder.Comp Structure Base Salary₹70K/month → Auto-bumps to ₹1L/month after 3 closed deals.Deal Bonuses (Tiered)0.75% → 1% → 1.5% → 2% depending on:executionsourcingspeedcomplexityESOPs:1%–1.5%, 4-year vesting, 1-year cliff (depending on experience)You’re not trading labor for salary. You’re trading sweat for infrastructure equity.Year 1 Earnings ModelConservative (3 deals, ₹37.5L avg fee):Base: ₹10.2LBonuses: ₹1.2LTotal Cash: ₹11.4LESOPs (paper value): ₹5-10LTotal Comp: ₹16-20LStrong Performance (5 deals, 1 self-sourced, ₹45L avg fee):Base: ₹12LBonuses: ₹2.6LTotal Cash: ₹14.6LESOPs (paper value): ₹5-10LTotal Comp: ₹19-24LThis beats most boutique IBs when you factor in equity upside + promotion speed.What You Must Bring3–5 years in IB / M&A / PE / VCStrong modelingReal deal execution experienceHunger to buildComfort with ambiguous, unstructured dataAbility to think in systems (not just tasks)Behavior That Wins HereHigh ownershipRelentless follow-upClean thinkingSpeed with accuracyBias for structureAbility to work fast in messy environmentsCuriosity about automation and systemsWhat We Are✅ AI-native execution shop✅ Revenue-first✅ Lean, honest, high-velocity✅ Obsessed with solving India’s SME M&A gap✅ Building something India doesn't have yetIf you want ownership, speed, AI leverage, and the chance to build something India doesn’t have — apply.