Overview
Join to apply for the Customer Analytics Specialist role at Virgin Money.
This range is provided by Virgin Money. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Business Unit: Group Unsecured Lending
Salary range: £45,600 - £57,000 per annum DOE + benefits
Location: UK Hybrid – Regular travel to Chester or Newcastle hubs
Contract type: Permanent
Our Team
We have an exciting opportunity in the Unsecured Lending team to join a talented group of Analytical colleagues in driving commercial growth in combination with strong customer outcomes. The role is responsible for ensuring business performance and customer behaviours are understood, to support purpose led strategies and management of the unsecured lending business.
What you’ll be doing
* Insights – into the unsecured lending business, combining low level portfolio performance insight with a macro view of external factors (including competitor activity).
* Optimisation – Utilising analytical platforms and data to provide insight and data led recommendations to support key business trading decisions.
* Financial Loss - evaluation of commercial and credit performance across unsecured lending, leveraging analytics to identify risks and opportunities, working with key stakeholders across the business.
* Transformation - Adopting a continuous improvement team mindset, identifying opportunities to improve efficiency through the adoption of new technologies, data, segmentation and advanced modelling.
* Working in a team of talented, dedicated colleagues, who can help you apply and develop these skills in a real-world environment.
* Partnering with key stakeholders and business partners, building relationships to obtain engagement and support in delivery of plans.
We need you to have
* A strong analytical mind, a self-starter and a willingness to learn and develop.
* Previous exposure to coding (SAS, SQL, Python, R) to include summarising and presenting large datasets
* Excellent numerical skills, be able to demonstrate the ability to interpret data incisively, clearly present the facts and influence outcomes through data led recommendations.
* Experience analysing and interpreting data to solve business problems
* Proven ability to build trusted relationships with a wide range of stakeholders at all levels, with experience of managing challenge and conflict.
It’s a bonus if you have but not essential
* A degree from a Mathematical, Economic, or Science discipline.
* Experience within financial services, with knowledge of the end-to-end economics, customer behaviour, strategy, credit reference agencies, sales funnels and drivers of product profitability.
* Proficiency coding with SAS, SQL and other languages
Red Hot Rewards
* 25 days holiday per year, increasing over time to 30. Plus, an option to buy more, giving you even more choice.
* Private medical insurance
* A highly competitive pension to help you build a strong foundation for retirement
* Access to an annual performance-related bonus
* Training and development to help you progress your career
* A great selection of additional benefits through our flexible benefits scheme
* Life assurance to provide peace of mind for you and your loved ones
* Up to 2 days of paid volunteering a year
Be yourself at Virgin Money
Virgin Money is so much more than just a bank. We celebrate everyone. We have fun, think big, and relentlessly include each other, all in pursuit of our purpose: Banking – but fairer, more rewarding, and for the good of society. We’re committed to creating an inclusive culture where colleagues feel safe and inspired to contribute, speak up and be heard.
As a Disability Confident Leader, we’re committed to removing any obstacles to inclusion. If you need any reasonable adjustments or support making your application, contact our Talent Acquisition team careers@virginmoney.com
Legal notice
Please note: If we receive a high volume of eligible applications, we may need to prioritise candidates whose skills and experience most closely align with the role, while still ensuring fair and equitable consideration for all applicants.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Analyst
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