Internship - Total Rewards (Compensation & Benefits)
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What you'll do
- 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.
- Workday Data Maintenance: Own the quarterly data upload process in Workday, ensuring all miscellaneous payroll bonus data is accurately tracked and updated on time.
What they're looking for
- Pursuing a Master’s degree in a highly quantitative discipline (e.g., Corporate Finance, Statistics, Financial Engineering, Business Analytics, Data Science, or Econometrics).
- High mathematical baseline with strong capabilities in statistical modeling, variance tracking, and processing complex datasets.
- Advanced, robust Excel is a baseline requirement.
- Adaptable and resourceful in a fast-paced, multicultural environment, proactive rather than reactive.
- Fluent in English
Nice to have
- Hands-on experience or deep curiosity regarding AI agents and workflow automation (e.g., Claude, Gemini).
- French language is a plus.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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. If you want to make a true impact, we want you to join us at Ledger.
At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries.
The Team
Working closely with the Head of Total Rewards (London-based) and the Compensation & Benefits Expert (Paris-based), this role offers a unique combination of business-as-usual (BAU) operational and process management along with high-impact strategic project and analytical work.
What You’ll Be Doing:
Pay Equity Analytics
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.
Equity Platform Dashboards & Maintenance
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).
C&B Operations
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.
Workday Data Maintenance: Own the quarterly data upload process in Workday, ensuring all miscellaneous payroll bonus data is accurately tracked and updated on time.
What We’re Looking For
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.
Company
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