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Wise

Senior Data Analyst - Treasury (Liquidity)

Posted Yesterday
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Hybrid
London, Greater London, England
Mid level
Hybrid
London, Greater London, England
Mid level
The Senior Data Analyst will manage Liquidity's data models, derive insights, collaborate with teams, and set KPIs related to product and risk management.
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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, we need bulletproof reporting and insights into our Treasury operations. Whether that’s timely and accurate reporting to perform critical controls, or investigations into inefficiencies and improvement areas in our liquidity system, data performs a central role in optimising our team’s decisions and processes.

Job Description

We’re on the hunt for a Senior Data Analyst to join the Liquidity team in London.

You’ll be part of a team that fundamentally powers the Wise product and mission!

What you’ll be doing:

  • You’ll be one of the owners of Liquidity’s core data models, ensuring data and analytics assets are accurate, comprehensive, discoverable and leveraged by finance and product teams

  • You’ll derive actionable insights from Treasury’s data to inform product decisions, from adjusting pricing on a product to reflect cost more accurately to designing controls for risk mitigation in stressed scenarios
     

  • You’ll work with other analysts, data scientists and engineers to improve the Tech and processes that power liquidity management at Wise

  • You’ll partner with Product Managers, Controllers, and other Analysts to set KPIs and KRIs for Liquidity and monitor the impact of new product features on risk and liquidity availability

  • You’ll need to build relationships with teams across the company, from finance and engineering to our customer support, operations, design and more

Who you are:

  • Advanced SQL skills

  • Python/R for data manipulation and analysis

  • Experience building data pipelines

  • Strong analytical thinking and ability to translate business requests into clear analytical problems

  • Data visualisation and storytelling ability

  • Understanding of stats and statistical modelling (measures of central tendency, understanding of variance and testing, some regression modelling)

  • 3-5 years experience in similar roles

  • Ability to work autonomously and partner with stakeholders

  • Proactive individual who drives continuous improvement

Desirable:

  • DBT experience

  • Familiarity with ledgers or other financial data

  • Experience deploying code changes via Git-based workflows

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.

Additional Information

What do we offer: 

  • Salary: £60,000 - £75,000

  • 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

Dbt
Git
Python
R
SQL

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