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:

1. AI Valuation Engine

GST-based models + industry comparables + margin diagnostics + cash cycle inference.

Instant on-platform valuation within minutes.

1. AI Dataroom Standardization

OCR → classify → clean → tag → package financials and contracts into investor-grade bundles.

1. AI Investor Matchmaking

Matching deals to investors using historical thesis, cheque sizes, closures, and patterns across 1,000+ investor preferences.

1. AI-Driven Deal Execution OS

Deal momentum scoring, follow-up automation, closure probability prediction.

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.

1. Investor Coordination (20%)

2. Sector-level investor mapping

3. Preparing IC-quality memos
4. Running follow-ups
5. Capturing investor behavior → fed into matchmaking engine

Your pattern recognition → becomes ML feature engineering data.

1. Process + AI Feedback Loop (10%)

2. Build SOPs

3. Standardize deal workflows
4. Document repetitive tasks that should be automated
5. 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.