Arca
Member of Corporate Development, M&A
New York
Sponsorship not specifiedDetected 41 days ago
Financial ModelingValuationM&A
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odds of building a lasting career here
16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Outreach, qualification, valuation, diligence, structuring, close.
- You don't hand a deal off at some stage - you carry it through.
- You coordinate workstreams across finance, legal, compliance, and operations to get deals over the line.
Responsibilities
- So we're building it.
Nice to have
- You're AI-pilled and curious about this industry.
- You're excited by what AI makes possible and by the chance to help rebuild wealth management with it.
Compensation
- an annual check-in, a plan that's a document instead of a living thing, a relationship where you're one of three hundred clients your advisor is trying to remember.
Company info
- We're small on purpose.
- We're a team of 12 based out of NYC and we're engineering heavy with 8 engineers.
- We hail from high growth startups like Stripe, Ramp, Rippling, Plaid, Doordash, & Glean.
- We're fully in-office in Flatiron, five days a week-lunch together, coffee breaks, basketball games, happy hours.
- Diligence across the company. You coordinate workstreams across finance, legal, compliance, and operations to get deals over the line.
- The acquisition playbook. As we scale to four or five acquisitions this year and more after, you sharpen how we source and how we close - your fingerprints on how the company grows.
- You're a self-starter who finishes. You take ownership, move fast, and don't wait to be told what to do. In an early-stage company where a lot of the playbook isn't written yet, you write it.
- Acquisition is how the whole company grows, so the deals you close set the pace for everything else.
- We're not SaaS - we are the wealth management business, rebuilding it from the inside with AI.
- Our platform is an Iron Man suit for advisors:
This listing is sourced directly from Arca's careers page and normalized into a canonical job model.