LedgerFound on the web

Posted 3w ago

Internship - Compensation & Benefits

Pay

Not stated

Location

Paris, France

On site

Type

Internship

Skills this role screens for

testingdata scienceanalyticsexcelautomationfinancepayrollcorporate functionsstage

Opens on Ledger's site. Sign in first and we keep it in your pipeline.

About the role

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 company

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.

The work

What You’ll Be Doing

What you get

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.

Also

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).

Also

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.

Who they want

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 lev

Ledger

Found on the web. You apply on the company's own site

Where this listing comes from

From Ledger's own careers system (Ashby).

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