Investment Banking Modeling Analyst

Micro1

(140)

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Full-time

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Remote (for United States residents)

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Posted 5 months ago

Role: Investment Banking Modeling Analyst. Remote (US, UK, Canada). 200 openings. Compensation: $100–$200/hour.Responsibilities include translating complex M&A and capital markets processes into structured outputs; building, reviewing, and annotating institutional-quality financial models (LBO, 3-statement models, M&A models, valuation models); applying DCF, trading comparables, and precedent transactions; drafting investor-grade materials; structuring datasets to train AI-driven financial systems; collaborating with product and engineering teams.Requirements: 2–7+ years in Investment Banking, Private Equity, Venture Capital, Transaction Advisory, or Corporate Development; strong live transaction exposure; advanced financial modeling (DCF, LBO, comps, precedent transactions); ability to produce clean, audit-ready deliverables; highly organized; remote work authorization in US, UK, or Canada.

About Micro1:

Micro1 is an AI and human intelligence platform that connects highly skilled professionals with leading AI labs, enterprises, and technology companies. The company specializes in sourcing, vetting, and managing expert talent to create high-quality datasets, evaluate AI systems, and support the development of advanced AI models. Through its AI recruiter, Zara, and its human data infrastructure, Micro1 helps organizations accelerate AI innovation while enabling top global talent to contribute to cutting-edge projects. Headquartered in California, Micro1 is focused on building the talent and data infrastructure that powers the future of artificial intelligence and AGI.

mission:

To transform human expertise into the data and intelligence that power the next generation of AI.

Reputation:

(140)

Jobs posted: 88

Candidate review speed: ~an hour

Signalers: 2.6K

Feedback summarized by AI: Applicants who reached late stages reported professional, positive interactions. While some await decisions, others noted mismatched job referrals. Concerns persist regarding offer legitimacy, with some fearing it is a tactic for AI-training roles.Applicants who didn't reach the late stages reported positive, fast, and innovative experiences. While some found the process nice, others noted impersonal communication, disorganized steps, unclear rejection reasons, and concerns over data safety.

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