Investment Banking Associate

Investment Banking Associate – Samaveda Capital Hyderabad | Early Employee Equity | AI-Native Investment Bank ₹8.4L → ₹12L base + bonuses + ESOPs The Role in 15 Seconds We’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 execution - Promoters sit on messy financials or incomplete GST returns - Valuations are guesswork - Advisors are unstructured - Due diligence is manual chaos - Investors don’t trust any numbers under ₹100Cr topline AI changes this. But only if you have the dealflow, domain knowledge, and structured data to train it. That’s what Samaveda is building. Vision We 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 Today 6-months in: - 10+ live mandates, Retainers (cleantech, manufacturing, Textiles) - 12-month Pilot partnership with an enterprise client - Innopreneurs Top 100 Startups in India - Active inbound dealflow - AI valuation engine v1 built, MVP of v2 underway with real companies - Pipeline 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 datarooms - Extract insights from GST, P&L, BS, cash cycles - Build valuation models that later become automated templates - Prepare investor-ready memos that become training data - Run closing mechanics and timelines Your execution directly becomes product. 2. Investor Coordination (20%) - Sector-level investor mapping - Preparing IC-quality memos - Running follow-ups - Capturing investor behavior → fed into matchmaking engine Your pattern recognition → becomes ML feature engineering data. 3. Process + AI Feedback Loop (10%) - Build SOPs - Standardize deal workflows - Document repetitive tasks that should be automated - Collaborate with CTO to convert human workflows → automation pipelines You are not a user of the product — you are the co-architect of what gets automated. 12-Month Growth Map Month 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: - execution - sourcing - speed - complexity ESOPs: 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 Model Conservative (3 deals, ₹37.5L avg fee): - Base: ₹10.2L - Bonuses: ₹1.2L - Total Cash: ₹11.4L - ESOPs (paper value): ₹5-10L - Total Comp: ₹16-20L Strong Performance (5 deals, 1 self-sourced, ₹45L avg fee): - Base: ₹12L - Bonuses: ₹2.6L - Total Cash: ₹14.6L - ESOPs (paper value): ₹5-10L - Total Comp: ₹19-24L This beats most boutique IBs when you factor in equity upside + promotion speed. What You Must Bring - 3–5 years in IB / M&A / PE / VC - Strong modeling - Real deal execution experience - Hunger to build - Comfort with ambiguous, unstructured data - Ability to think in systems (not just tasks) Behavior That Wins Here - High ownership - Relentless follow-up - Clean thinking - Speed with accuracy - Bias for structure - Ability to work fast in messy environments - Curiosity about automation and systems What 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 yet If you want ownership, speed, AI leverage, and the chance to build something India doesn’t have — apply.