Remote Equity & Credit Research Specialist (Contract)

confidential; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

Confidential is seeking an Equity & Credit Research Expert for a 100% remote contractor role. You will apply deep financial market knowledge to train AI systems with high-quality, real-world inputs and robust analyses.

No AI experience required, just domain expertise to shape how models learn and perform. Responsibilities include evaluating statements, producing research commentary, drafting theses and risk assessments, and contributing to AI training data quality through structured, actionable

Qualifications

• Extensive background in equity and/or credit research with financial analysis experience.
• Strong skills in financial modeling, credit risk evaluation, and sector trends.
• Excellent written and verbal communication for clear, actionable insights.
• Familiarity with major financial data platforms (Bloomberg, FactSet, S&P Capital IQ).
• Advanced degree or certification (CFA/CPA/MBA) is advantageous.
• Ability to synthesize complex topics into structured deliverables.

Responsibilities

• Analyze and evaluate financial statements, earnings, and market data.
• Deliver equity and credit research commentary using standard frameworks.
• Draft investment theses, risk assessments, and valuation reports for AI training datasets.
• Provide real-world examples and assess case studies in equity and credit analysis.
• Annotate research documents highlighting drivers, risks, and catalysts.
• Collaborate in feedback cycles to improve accuracy and clarity of deliverables.
• Share insights to improve project workflows and best practices.

Skills

Equity research

Credit research

Financial analysis

Financial modeling

Clear writing

Data interpretation

Education

Advanced degree or CFA/CPA/MBA

Tools

Bloomberg

FactSet

S&P Capital IQ

Job description

Confidential is seeking an Equity & Credit Research Expert for a 100% remote contractor role. You will apply deep financial market knowledge to train AI systems with high-quality, real-world inputs and robust analyses.

No AI experience required, just domain expertise to shape how models learn and perform. Responsibilities include evaluating statements, producing research commentary, drafting theses and risk assessments, and contributing to AI training data quality through structured, actionable