Ledger

5 days ago

Internship - Total Rewards (Compensation & Benefits)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Support Total Rewards activities across pay equity, compensation review operations, and equity administration. Help build pay equity models for internal audits and gender pay gap analysis, assist with EU pay transparency directive preparation, and maintain equity grant data and dashboards. Contribute to compensation and benefits survey submissions and benchmarking, administer patent/invention premiums, and manage Workday data uploads for quarterly bonus information.

Location: Paris

Workplace: Onsite

Employment Type: Internship

Job Function: People, HR & Talent

Seniority: Intern level

Key Responsibilities

•Own quantitative data preparation, variance testing, and baseline modeling for internal pay equity audits and gender pay gap analysis.
•Support preparations for the EU Pay Transparency Directive using statistical analysis to identify and report compensation trends across employee cohorts.
•Prepare, audit, and validate equity grant lists, partnering with HR Ops and Legal to deliver accurate data for new equity grants.
•Coordinate compensation and benefits survey submissions, ensuring clean data mapping and performing basic market benchmarking.
•Manage quarterly Workday data uploads for miscellaneous payroll bonus information and help run annual compensation review operational workflows.

Key Requirements

•Pursuing a Master’s degree in a highly quantitative discipline (e.g., Corporate Finance, Statistics, Financial Engineering, Business Analytics, Data Science, or Econometrics).
•Strong statistical modeling and variance tracking skills, with experience processing complex datasets.
•Advanced, robust Excel skills as a baseline requirement.
•Hands-on experience or strong curiosity about AI agents and workflow automation; ideally familiar with Claude and Gemini beyond basic prompting.
•Fluent in English (French is a plus).

Education:Master's in Highly quantitative discipline (e.g., Corporate Finance, Statistics, Financial Engineering, Business Analytics, Data Science, Econometrics)

Skills:ExecutionProactivityAdaptabilityProblem-solving

Languages:EnglishFrench

Tech Stack:ExcelWorkdayClaudeGemini

Company Brief

Ledger

Ledger designs and sells hardware wallets and security infrastructure for digital assets and Web3, offering consumer devices (Nano S/X, Stax), Ledger Live software, and enterprise custody solutions to secure cryptocurrencies and NFTs.

Industry: Cybersecurity

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: Paris, France

Founded: 2014

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Ledger

5 days ago

Internship - Total Rewards (Compensation & Benefits)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Paris

Workplace: Onsite

Employment Type: Internship

Job Function: People, HR & Talent

Seniority: Intern level

Key Responsibilities

•Own quantitative data preparation, variance testing, and baseline modeling for internal pay equity audits and gender pay gap analysis.
•Support preparations for the EU Pay Transparency Directive using statistical analysis to identify and report compensation trends across employee cohorts.
•Prepare, audit, and validate equity grant lists, partnering with HR Ops and Legal to deliver accurate data for new equity grants.
•Coordinate compensation and benefits survey submissions, ensuring clean data mapping and performing basic market benchmarking.
•Manage quarterly Workday data uploads for miscellaneous payroll bonus information and help run annual compensation review operational workflows.

Key Requirements

•Pursuing a Master’s degree in a highly quantitative discipline (e.g., Corporate Finance, Statistics, Financial Engineering, Business Analytics, Data Science, or Econometrics).
•Strong statistical modeling and variance tracking skills, with experience processing complex datasets.
•Advanced, robust Excel skills as a baseline requirement.
•Hands-on experience or strong curiosity about AI agents and workflow automation; ideally familiar with Claude and Gemini beyond basic prompting.
•Fluent in English (French is a plus).

Education:Master's in Highly quantitative discipline (e.g., Corporate Finance, Statistics, Financial Engineering, Business Analytics, Data Science, Econometrics)

Skills:ExecutionProactivityAdaptabilityProblem-solving

Languages:EnglishFrench

Tech Stack:ExcelWorkdayClaudeGemini

Company Brief

Ledger

Industry: Cybersecurity

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: Paris, France

Founded: 2014

Glassdoor: 3.9

Website LinkedIn Glassdoor