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Wise

Senior Analytics Manager - Safeguarding and Ledger

Posted An Hour Ago
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Hybrid
London, Greater London, England
Senior level
Hybrid
London, Greater London, England
Senior level
Lead a team of analysts to build and maintain data pipelines, dashboards, and reconciliations for Ledger and Safeguarding. Deliver analyses, surface metrics, automate controls, and partner with FX, Liquidity and Operations to reduce costs and risks while coaching best practices.
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Company Description

At Wise, we’ve got a clear mission — money without borders. Built by and for people who live global lives. As a FinTech company moving billions of GBP of customer money in over 70 countries, Wise needs bulletproof financials & insights into the growth of the company. We need timely, accurate and scalable financial data to make accurate business decisions inside the company.

Job Description

Due to continued and rapid growth, we’re on the hunt for a Senior Analytics Manager to join us in Treasury, leading the analytics function in our Ledger and Safeguarding teams. The role is located in Shoreditch, London.

What you’ll be doing:

  • Leading a team of 3+ analysts responsible for

    • Curating datasets, surfacing metrics, sizing opportunities, and deep dive analysis

    • Building and maintaining critical data pipelines and dashboards

    • Performing data reconciliations, hunting down and explaining discrepancies, and building controls to automate these 

  • Liaising with FX, Liquidity and Operations teams to understand how to improve your teams’ processes to achieve lower costs and risks and these areas

  • You’ll be expected to help stakeholders shape and understand what they want and need, and to help the team shape their work to fit that need

  • You’ll be hands on with your team, leading by example and demonstrating best practice
     

Who you are:

  • 5+ years experience as an analyst or analytics engineer and 1+ years leading others (can be overlapping)

  • Strong analytical ability

  • Mathematical background with a solid grounding in statistics

  • Advanced SQL

  • Python/R

  • Able to write clean code, build efficient data pipelines, and coach these behaviours in others

  • Proven stakeholder management skills

  • Demonstration of impact/going above and beyond basic role requirements

Desirable:

  • Familiarity with DBT

  • Data modelling in a warehouse context

  • Experience working in a highly-regulated and audited environment

  • Experience working with Financial data and ledgers

Some important stuff we would like you to know

To meet our regulatory obligations as a licensed financial services company, Wise needs to conduct background checks on all new hires, which in the Finance team includes Criminal and Credit checks. Please discuss with the Recruiter if you have any concerns regarding this process.

What do we offer: 

  • Salary: £100,000 - £125,000

  • Company Restricted Stock Units

  • Numerous great benefits in our London office  

Key benefits:

  • Hybrid working 

  • Paid annual holiday, sick days, parental leave and other leave opportunities

  • 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave

Additional Information

What do we offer: 

  • Salary: £100,000 - £125,000

  • Company Restricted Stock Units

  • Numerous great benefits in our London office 

Key benefits:

  • Hybrid working 

  • Paid annual holiday, sick days, parental leave and other leave opportunities

  • 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave

For everyone, everywhere. We're people building money without borders  — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Top Skills

Sql,Python,R,Dbt

Wise London, England Office

London, United Kingdom

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