Financial Crime Analytics Consultant

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  • Nationwide
  • United Kingdom, Cumberland
  • Full-Time
  • 2 months ago
Published
March 6, 2026
Location
United Kingdom, United Kingdom
Job Type

Job Description

This is a fantastic opportunity to join our Financial Crime Analytics team a collaborative, forwardthinking area that plays a vital role in protecting the Society and its members. We use data in innovative ways to strengthen our defences against economic crime, helping to keep our members’ money safe and maintain their trust in us.

The Data Governance function sits at the core of how we protect the Society, ensuring the data that underpins our financial crime activity is accurate, well managed and trusted. By strengthening our data foundations, we enable better decision-making, more effective detection of emerging threats, and faster action to keep our members safe. As part of a team of specialists across analytics, fraud and financial crime, you’ll contribute to creating a more resilient organisation, one where high-quality data helps us stay ahead of criminals and deliver the right outcomes for our members.

 

We are happy to consider flexible working approaches to help you perform at your best.

 

At Nationwide we offer hybrid working wherever possible. More rewarding relationships are supported through our hybrid approach, bringing colleagues together across our UK wide estate, whilst also supporting generous access to home working. We value our time in the office to solve problems, to learn, and to feel connected.

For this job you'll spend at least two days per week, or if part time you'll spend 40% of your working time, based at either our Swindon or London office. If your application is successful, your hiring manager will provide further details on how this works. You can also find out more about our approach to hybrid working here.

If we receive a high volume of relevant applications, we may close the advert earlier than the advertised date, so please apply as soon as you can.

Key Skills
? Key Skills in dark blue have been inferred based on similar industry roles
Python SQL ETL AWS Apache Spark Airflow Safe Data Governance

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