
Wise
Lead Ledger Analyst – Wise (London) | Role Overview
Category | Details |
---|---|
Company | Wise – FinTech scale-up on a mission for borderless money |
Role Title | Lead Ledger Analyst – Treasury |
Location | London (with global remote flexibility up to 90 days/year) |
Employment Type | Full-Time, Permanent |
Base Salary | £100,000 – £125,000 (based on experience) |
Equity Offer | £50,000 RSU sign-on grant + £25,000 annual top-ups |
Key Responsibilities | Data integrity of treasury ledger, discrepancy investigations, automation, stakeholder collaboration, and onboarding financial instruments |
Core Technical Skills | Advanced SQL, Python or R, data visualisation, ledger data modelling |
Collaboration Areas | Treasury (Liquidity, FX Risk, Safeguarding), Data Science, Product, Finance |
Desirable Skills | Experience with DBT, data warehousing, basic accounting |
Professional Traits | Analytical mindset, proactive, stakeholder manager, fast learner, business impact-focused |
Regulatory Requirements | Criminal and credit background checks (Finance team standard) |
Flexible Work Culture | Hybrid with global work-from-anywhere option |
Extra Benefits | Sabbatical after 4 years, private health insurance, development budget, life insurance, fitness perks, mission day events, parental leave, pet-friendly office |
Company Culture | Inclusive, borderless, high-growth, empowering, diverse |
Related Job Roles Table
Job Title | Salary Range (Annual) | Location |
---|---|---|
Treasury Data Analyst | £85,000 – £110,000 | London, UK |
Senior Product Data Analyst | £90,000 – £120,000 | Remote / London Hybrid |
Ledger & Reconciliation Lead | £95,000 – £115,000 | Shoreditch, London |
Risk Data Modeller – FinTech | £100,000 – £130,000 | Canary Wharf, London |
Finance Data Manager | £90,000 – £115,000 | Old Street, London |
Summary
As a Lead Ledger Analyst at Wise, you’ll blend technical data skills with treasury knowledge to ensure ledger accuracy across global products. It’s a high-impact role ideal for SQL experts who thrive on solving complex data and financial challenges.
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To apply for this job please visit wise.jobs.