Investment Banking Associate

$150–220/hr

rate as listed

Workload: ~15h/week
Engagement: Project-based
Location: Location not stated
Field: Finance

Review and create investment banking workflows that help train AI systems on research, modeling, valuation, and deal analysis. The work is remote and suited to finance professionals who can explain how AI outputs compare with traditional methods.

The work

You will create example workflows, analyses, or reports drawn from investment banking and equity research practice. Assignments may involve showing how AI supports data collection, financial modeling, valuation, research, and transaction analysis, then comparing the results with traditional approaches across a deal cycle.

What micro1 screens for

The screen is likely to test whether you can discuss specific transaction, modeling, or research work under follow-up without disclosing confidential information. It will also assess your judgment when reviewing AI-generated financial outputs, including how you verify source data, identify unsupported assumptions, test calculations, and explain practical limitations. No prior AI experience is required, although direct use of financial AI platforms such as Rogo, Hebbia, Model ML, Claude for Financial Services, or similar is preferred.

Logistics

This is a remote contractor role involving written and verbal communication, including collaborative assignments and constructive feedback on tools and workflows. The listing does not specify a fixed weekly commitment, typical hours, time-zone requirements, or whether all work can be completed asynchronously.

Pay band: $150–220/hr

What they look for

investment banking
financial modeling
equity research
ai platforms for finance (e.g., rogo, hebbia, model ml, claude)
data analysis
ai integration in finance
financial analysis
deal process management
written communication
verbal communication
workflow optimization
feedback delivery
financial technology (fintech) trends
report writing
collaborative problem-solving

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This tests whether your background includes hands-on research, modeling, valuation, or transaction work rather than only high-level exposure to finance.
A strong answer: Give a concise chronology with role level, product or sector coverage, transaction responsibilities, and the models or analyses you personally owned. Use non-confidential examples and distinguish your work from the broader team's output.
Where people lose it: Candidates lose points by naming deals or employers without explaining what they personally built, checked, or delivered.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.

FINANCE on Sidequest

What finance AI work pays

Rates by specialty, the platforms hiring, and every open role in this field.