Programme description
About this opportunity
Internship - Total Rewards (Compensation & Benefits) About Ledger We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures.
Responsibilities
- - Pay Equity Modeling: Own the quantitative data preparation, variance testing, and baseline modeling for internal pay equity audits and gender pay gap analysis.
- - EU Directive Alignment: Actively support the team’s preparations for the upcoming EU Pay Transparency Directive by leveraging statistical analysis to identify and report on compensation trends across employee cohorts.
- - Grant List Creation & Validation: Prepare, audit, and validate equity grant lists, ensuring absolute accuracy before final approvals. Partner directly with HR Ops and Legal teams to deliver clean, compliant data for new equity grants.
- - Equity Tracking: Explore the creation of analytical dashboards/trackers to monitor global equity distribution, vesting schedules, and dilution tracking (e.g., BSPCE, Stock Options).
- - Annual Review Support: Help run the operational backbone of our annual compensation review cycles (merit, performance, bonus) by managing data templates, tracking timelines, and coordinating with HRBPs.
- - Survey Submissions & Benchmarking: Coordinate and execute global compensation and benefits survey submissions, ensuring clean data mapping, and perform basic market benchmarking to support pay positioning decisions.
- - Patent Premiums Administration: Operationalize and administer our global patent/invention premiums, partnering closely with the Intellectual Property (IP) and Payroll teams to ensure seamless execution.
Qualifications and requirements
- - Education: Pursuing a Master’s degree in a highly quantitative discipline (e.g., Corporate Finance, Statistics, Financial Engineering, Business Analytics, Data Science, or Econometrics).
- - Advanced Mathematical Analytics: High mathematical baseline with strong capabilities in statistical modeling, variance tracking, and processing complex datasets. Advanced, robust Excel is a baseline requirement.
- - AI Tooling & Agentic Workflows (Strong Plus): Hands-on experience or deep curiosity regarding AI agents and workflow automation. Ideally, you know how to leverage tools like Claude and Gemini beyond basic prompting.
- - Execution & Balance: Adaptable and resourceful in a fast-paced, multicultural environment, proactive rather than reactive.
- - Languages: Fluent in English; French is a plus.
Why you may be eligible
The official source lists France as the eligible location. Confirm any residence, nationality, education and graduation-year requirements before applying.
Application checklist
Prepare a focused application
- Match your CV to the programme’s required skills and education.
- Prepare a concise motivation statement with relevant projects or experience.
- No application fee was identified during our review. Confirm the official listing and never pay an unofficial recruiter.