Financial Crime Analytics Senior Consultant (Application and Post Applicati

at  Nationwide

We are looking for a Senior Consultant to join our Fraud Analytics function. We need high-performing individuals to support Nationwide in the prevention of application fraud and detection mule accounts across our portfolio.
This role will provide you with the opportunity to work with a team of subject matter experts and play a key role in our detection strategies. You will work with fraud prevention systems to develop technical strategies to reduce fraud and scam losses to Nationwide and its members. Alongside this you will be responsible for balancing customer experience through fraud prevention and ensuring we keep pace with change and new MO’s.
You’ll have the ability to build technical queries in programmes such as SAS/SQL/Python and represent our team in the wider business and within the industry.
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 London, Swindon, Northampton, Bournemouth, Sheffield, Wakefield or Dunfermline office. Whilst these locations are where we are primarily looking to fill the role, if you’re an internal applicant based in a different location we would welcome your application and if successful, your hiring manager will provide further details on how this could work for this specific role. 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.

ABOUT YOU

Technical expertise including:

• Experience using data to recognise patterns and make innovative suggestions
• Proven data manipulation and analysis skills
• Experience in using application fraud detection systems such as Sira
• Knowledge of fraud management and payments processing
• Experience in confidently influencing others to ensure Nationwide is not exposed to unnecessary fraud risks
• Previous experience of consulting on subject matter both internally and externally
• A logical approach to problem solving and confidence to make recommendations for solutions
• Advanced experience in coding languages/programmes (for example SQL/SAS/Python) and Excel

Our Customer First behaviours are all about putting customers and members at the heart of how we work together. You can strengthen your application by showing the behaviours that resonate with you, and how you might have already demonstrated these.

• Say it straight - This is about being honest and direct with good intent and saying what needs to be said in the room. It’s also about being clear, precise, and using language that we and, importantly, our customers and members can understand.
• Push for better - This is about aiming high and constantly looking for better in how we work together and serve our customers and members.
• Get it done - This is about prioritising what will have the greatest impact, being decisive and taking accountability for delivering on the end-to-end outcome.

We know applying for jobs can sometimes feel like you’re sending an application into a black hole. We review each application individually. So, it’s a good idea to call out your most relevant experience on your application to give yourself the best chance.

You will be an SME within the Analytics function and will be responsible for managing fraud and/or scams in a particular channel.
You’ll need to support members of the team by sharing knowledge and work alongside stakeholders through consultancy. Alongside this, you’ll be responsible for monitoring our fraud/scam performance and focusing on insight through analysis.