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Wise

Senior Data Analyst - Payment Operations

Posted 12 Days Ago
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Hybrid
London, Greater London, England
Senior level
Hybrid
London, Greater London, England
Senior level
As a Senior Payment Operations Analyst, you will analyze payment flows, improve quality assurance processes, and drive data-driven decisions within the organization using AI and analytics.
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Company Description

Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.

More about our mission and what we offer.

Job Description

THE ROLE

We are looking for a Senior Payment Operations Analyst who is passionate about our mission of Money Without Borders. You will partner with our Payment Operations organisation to help drive data-driven decisions that would improve the quality of our payment systems, making them smoother and more efficient.

The Payment Operations organisation is responsible for ensuring that our customers’ payments flow smoothly. The organisation focuses on resolving issues surrounding the movement of funds, to deliver a fast and convenient payment experience for our customers.

As a Senior Payment Operations Analyst, you will be driving our analytics effort to strengthen our quality assurance and control processes. You will identify how we can evaluate if payment processing flows are done right, and if not, what went wrong with them. You will own an attribution model to quality lapses, and work with other teams to improve the quality of payment processing. You will also be incorporating AI in your work, using AI to improve the quality review process.

This is a great opportunity for an analyst that has strong product thinking and is passionate about creating convincing analyses. It also allows you to work alongside the current developments in AI. You will also be part of a wider team of 150+ analysts that you can collaborate with on cross-team projects, have knowledge sharing sessions and bring ideas on how we can improve analytics across Wise. 

This is an IC2 role. For more information on our Analytics Career Map and levelling structure, click here.

WHAT YOU’LL BE DOING

  • Collaborate with various senior stakeholders in the organisation and effectively communicate your insights into real change for our customers. Join us in working towards our mission.

  • Support the organisation’s drive to improve the quality of its processes by identifying payment flows that have met quality standards, and if not, identify the reasons for failing quality standards.

  • Proactively contribute to, own, create and track key metrics and results for the organisation, keeping them accountable throughout the quarter. For example, understanding team quality KPIs and how each process intervention improves the organisation’s quality scores.

  • Expose the vast amount of data available to the organisation in a meaningful and actionable way and support other teams in discovering insights from data.

  • Support your team and the organisation by building and maintaining data pipelines, preparing reports, and creating visualisations.

Additional Information

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

AI
Data Pipelines
Data Visualization

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