Midcap Equity Research Intern (Off-Cycle) – Paris

TP ICAP Group; Paris; Hybrid; EUR 12,000 - 17,000; Full time

Job summary

TP ICAP Group invites applications for an Off-Cycle Internship as Assistant Sell-Side Analyst in Midcap Paris. Based in Paris, the 6-month program offers hands-on exposure to equity research, with daily guidance from senior analysts and interaction with executives and investors.

The successful candidate will conduct market monitoring, participate in earnings discussions, build sector analyses, and develop financial modeling (DCF, multiples, comps).

Qualifications

• Master’s degree in finance or related field.
• Solid valuation foundation: DCF, multiples, and comparables.
• Advanced Excel & PowerPoint; FactSet or equivalent.
• Fluent French and English (written/spoken).
• Rigour, synthesis, reliability, prioritization, and clarity.

Responsibilities

• Market & Earnings Monitoring: Track newsflow and prepare morning call materials.
• Issuer Meetings: Attend earnings presentations and draft actionable meeting notes.
• Sector Research: Build competitive analysis, identify drivers and KPIs, perform screening.
• Modelling & Valuation: Update financial models, run DCF, comparables, SOTP, scenarios & sensitivities.
• Writing: Contribute to flash notes, post-publication comments, and analyst reports.
• Production: Ensure publish-ready formatting and compliance with quality standards and deadlines.

Skills

Advanced Excel

PowerPoint

Valuation (DCF, comps)

FactSet

French (oral & written)

English (oral & written)

Education

Master’s degree in finance

Tools

FactSet

Job description

TP ICAP Group invites applications for an Off-Cycle Internship as Assistant Sell-Side Analyst in Midcap Paris. Based in Paris, the 6-month program offers hands-on exposure to equity research, with daily guidance from senior analysts and interaction with executives and investors.

The successful candidate will conduct market monitoring, participate in earnings discussions, build sector analyses, and develop financial modeling (DCF, multiples, comps).