Internship - Compensation & Benefits

Ledger; Paris (KY); On-site; USD 22,000 - 29,000; Full time

Job summary

Ledger is seeking an Internship - Total Rewards (Compensation & Benefits) in which you will work closely with the Head of Total Rewards and Compensation & Benefits Expert on BAU operations and high-impact projects. You’ll contribute to pay equity analyses, equity data upkeep, and global compensation processes in a fast-paced, multilingual environment.

The role emphasizes quantitative analytics, equity tracking, and collaboration with HR Ops, Legal, and Payroll teams, with exposure to Workday

Qualifications

• 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 with strong capabilities in statistical modeling, variance tracking, and processing complex datasets.
• Advanced, robust Excel is a baseline requirement.
• Hands-on experience or curiosity regarding AI agents and workflow automation; familiarity with Claude and Gemini is a plus.
• Execution & balance: adaptable and proactive in a fast-paced, multicultural environment.
• Languages: Fluent in English; French is a plus.

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: Support preparations for the EU Pay Transparency Directive via statistical analysis of compensation trends.
• Grant List Creation & Validation: Prepare, audit, and validate equity grant lists for data delivery to HR Ops and Legal.
• Equity Tracking: Explore dashboards to monitor global equity distribution, vesting, and dilution (BSPCE, Stock Options).
• Annual Review Support: Help run annual compensation review cycles (merit, performance, bonus) with data templates and timelines.
• Survey Submissions & Benchmarking: Coordinate global compensation surveys, ensure data mapping, and perform market benchmarking.
• Patent Premiums Administration: Administer global patent premiums with IP and Payroll teams.
• Workday Data Maintenance: Manage quarterly data uploads in Workday for payroll bonus data.

Skills

Pay Equity Modeling

EU Directive Alignment

Equity Dashboards

Grant Validation

Equity Tracking

Survey Benchmarking

Workday Data

Excel

Claude

Gemini

Education

Master’s degree in a quantitative discipline (e.g., Corporate Finance, Statistics, Financial Engineering, Business Analytics, Data Science, Econometrics)

Tools

Workday

Job description

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.