Investment Banking Analyst

What You'll Do8

• Assess LLM performance on investment banking tasks such as M&A deal analysis, LBO modeling, and accretion/dilution analysis.
• Design rubrics to measure model proficiency in deal structuring, valuation (DCF, precedent transactions, comps), and due diligence.
• Work with AI researchers and other finance experts to refine training methods, evaluation strategies, and benchmarks.
• Provide expert feedback to improve the accuracy and relevance of AI-generated financial content.
• Evaluate model outputs on pitch book creation and other investment banking deliverables.
• Contribute to the development of evaluation datasets and benchmarks for finance-related AI tasks.
• Collaborate with cross-functional teams to ensure models meet high standards of financial correctness.
• Participate in regular calibration sessions to ensure consistency in model evaluation.

Requirements6

• 2+ years of experience in investment banking, with exposure to areas like M&A advisory, ECM, DCM, leveraged finance, or restructuring.
• Solid understanding of financial modeling, deal structuring, valuation methodologies, and corporate finance principles.
• Excellent written communication skills in English.
• Ability to critically evaluate complex financial content and provide clear, actionable feedback.
• Comfort working independently and managing time effectively in a remote setting.
• Strong problem-solving skills and attention to detail.

Preferred Qualifications1

• CFA (Level I/II/III) or MBA in Finance.

Who Should Apply

Candidates with at least two years of investment banking experience, particularly in M&A, capital raising, or restructuring, who enjoy analytical work and want to influence AI development. The role suits finance professionals with strong financial modeling and valuation skills and excellent English writing. No AI background is required.

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