Investment Banking Analyst (Remote | $150–$220/hr)

Synthires; España; Remote; EUR 184,000 - 270,000; Full time

Benefits offered by this job

Fully remote work

Job summary

Synthires seeks experienced Investment Banking professionals to contribute to AI evaluation and training projects. You will apply M&A, capital markets, valuation, and deal execution expertise to build enterprise-level financial scenarios and reference solutions that advance AI capabilities.

Role covers real Fortune 500 environments including M&A, capital raises, leveraged finance, and strategic advisory work.

Qualifications

• Bachelor's degree or higher in Finance, Economics, Accounting, Business, or related field.
• 5+ years in Investment Banking, M&A Advisory, Capital Markets, or Leveraged Finance.
• Experience at bulge-bracket bank, elite boutique, or major financial institution.

Responsibilities

• Design enterprise-level investment banking scenarios based on real-world M&A and capital markets transactions.
• Develop tasks involving valuation, financial modeling, deal structuring, and transaction execution.
• Create reference pitch books, valuation analyses, board presentations, and deal recommendations.
• Apply investment banking methodologies including DCF, trading comparables, precedent transactions, and LBO analysis.
• Collaborate with project teams to improve AI performance on complex investment banking workflows.

Skills

Financial modeling

DCF analysis

LBO modeling

M&A execution

Valuation

Excel

Bloomberg

Capital IQ

FactSet

Education

Bachelor's degree or higher in Finance or related field

Tools

Bloomberg

Capital IQ

FactSet

Excel

Job description

This opportunity is for experienced Investment Banking professionals interested in contributing to advanced AI evaluation and training projects. You will apply your expertise in M&A, capital markets, valuation, and deal execution to help develop enterprise-level financial scenarios, evaluation frameworks, and reference solutions that improve the capabilities of next-generation AI systems.

The work focuses on real-world Fortune 500 transaction environments, including mergers and acquisitions, capital raising, leveraged finance, and strategic advisory engagements.

Ideal Qualifications

• Bachelor's degree or higher in Finance, Economics, Accounting, Business, or a related field.
• 5+ years of experience in Investment Banking, M&A Advisory, Capital Markets, or Leveraged Finance.
• Experience at a bulge-bracket bank, elite boutique, or major financial institution.
• Strong expertise in financial modeling, valuation, deal execution, and transaction analysis.
• Proficiency with tools such as Bloomberg, Capital IQ, FactSet, Excel, and financial modeling platforms.
• Deep understanding of DCF, Comparable Company Analysis, Precedent Transactions, and LBO modeling.
• Excellent analytical, communication, and presentation skills.

Responsibilities

• Design enterprise-level investment banking scenarios based on real-world M&A and capital markets transactions.
• Develop tasks involving valuation, financial modeling, deal structuring, and transaction execution.
• Create reference pitch books, valuation analyses, board presentations, and deal recommendations.
• Apply investment banking methodologies including DCF, trading comparables, precedent transactions, and LBO analysis.
• Evaluate financial outputs for accuracy, completeness, and professional quality.
• Author detailed rubrics that distinguish senior-level banking judgment from basic financial analysis.
• Collaborate with project teams to improve AI performance on complex investment banking workflows.

Preferred Qualifications

• Experience executing Fortune 500 M&A transactions, capital raises, or strategic advisory mandates.
• Direct exposure to board presentations, regulatory reviews, due diligence, and transaction negotiations.
• Experience developing financial training materials, modeling frameworks, or transaction documentation.
• MBA, CFA, or other advanced finance credentials.
• Familiarity with AI evaluation, financial content review, or data annotation projects.
• Fully remote and flexible schedule.
• Opportunity for ongoing project extensions based on performance and project needs.

Compensation

Competitive compensation of $150–$220/hour.