Risk Analyst - Data Science (Risk Data Science)

at  Nationwide

A fantastic opportunity has become available as a Risk Analyst – Data Science in our thriving Risk Decision & Data Science team – winners of the “Credit Modelling & Risk Team of the Year” at both the 2022 and 2020 Credit Strategy Awards, “Best Use of Technology” at the 2019 Credit Strategy Awards and winners at the Women in Credit Awards for “Rising Star of the Year” (2022 and 2023) and “Team Player of the Year” (2022).
The team develop models which support lending decisions, detect economic crime, and ensure the society is safe and secure.
As a Risk Analyst, with the help of a Risk Manager, you will be responsible for supporting projects relating to the ongoing development and maintenance of Risk Data Science models across multiple cycles (Application, Behavioural and Collections/Recoveries), Economic Crime and Affordability for all our Retail lending portfolios, enabling the business to make better decisions for our members. As well as traditional model development techniques, including regression modelling, use of cutting-edge Machine Learning will also feature within model development and maintenance.
This role is suitable for highly numerate graduates looking to apply learnings from their degree within a practical environment as part of a high-performance hybrid working team (working from home and in person), with a fantastic culture. Capability to translate complex issues into a more palatable form for a less technical audience will also be critical to ensure productive relationships with key stakeholders.
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 our Swindon 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.

ABOUT YOU

To be successful in this role you will:

• Have an MSc or strong quantitative degree from a Mathematics, Statistics, Computer Science, or related subject.
• Enjoy working with data, developing Data Science solutions, interpreting results and making recommendations.
• Be a highly motivated, creative and industrious individual, with a passion for solving complex problems to a high standard.
• Have experience of presenting / explaining your findings to others both verbally and through a written report.
• Have experience of building relationships and communicating with confidence whilst also working well on your own.
• Demonstrate a strong aptitude for programming and coding tools such as Python / R / SAS, experience is preferable but not required as training will be provided.

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.

WHAT YOU’LL BE DOING

Under the guidance of your line manager, you will undertake work that will be varied and technically demanding, and you could be working on your own or as part of a wider team.
You’ll need to write and run code in SAS and python to produce the data required to identify key insights, monitor model performance, and support the development of Data Science models using relevant statistical techniques.
You’ll also be building relationships with team members and across the business to present your insights, ensure our models are understood, and our models are used optimally to benefit our customers.

To be successful in this role you will:

• Have an MSc or strong quantitative degree from a Mathematics, Statistics, Computer Science, or related subject.
• Enjoy working with data, developing Data Science solutions, interpreting results and making recommendations.
• Be a highly motivated, creative and industrious individual, with a passion for solving complex problems to a high standard.
• Have experience of presenting / explaining your findings to others both verbally and through a written report.
• Have experience of building relationships and communicating with confidence whilst also working well on your own.
• Demonstrate a strong aptitude for programming and coding tools such as Python / R / SAS, experience is preferable but not required as training will be provided