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Kallent is recruiting experienced Investment Banking Experts for flexible, remote AI research projects with one of our current clients.
This opportunity is designed for finance professionals who understand real investment banking workflows and can apply strong judgment to help evaluate and improve advanced AI systems. In this role, you may review AI-generated financial analysis, valuation logic, transaction scenarios, deal language, and other finance-related outputs.
The program runs year-round, with project opportunities opening periodically based on client needs. Placement into a project is not guaranteed and will depend on availability, qualifications, and project fit.
This is a remote, asynchronous opportunity for U.S.-based candidates who want flexible, part-time project work while contributing to the development of AI systems used for professional finance tasks.
As an Investment Banking Expert, you may be asked to:
PREFERRED QUALIFICATIONS
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STRONGLY PREFERRED**
**OUR PROCESS
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Step 1: Application Review
Kallent reviews submitted applications to confirm basic eligibility, education level, availability, and interest.
Step 2: Prescreen Interview
Qualified Candidates complete a virtual prescreen interview with no video required.
During this step, Kallent informs eligible candidates about the job program, project expectations, requirements, and next steps.
Step 3: Assessment
Candidates may be asked to complete a single assessment before beginning project work.
Step 4: Client Onboarding
Candidates who pass the assessment will receive next steps with the client, which may include:
**CLOSING
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If you have investment banking or private equity experience and want to apply your expertise to AI research, we encourage you to apply.
This opportunity is ideal for finance professionals who can bring analytical rigor, real-world judgment, and strong written feedback to projects involving AI-generated financial content.
Kallent uses a human-led review process. Technology may support resume parsing, scheduling, or matching, but final candidate outcomes are reviewed by people. Qualified candidates will receive clear communication about next steps, project expectations, and any required platforms before moving forward.
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