Portfolio Management Analyst

Aldermore Group – why we exist   

Let us tell you a bit about us 

We’re Aldermore – the award-winning bank, trusted and highly rated by over a quarter of a million customers for more than a decade. With our range of specialist mortgages, savings accounts and business finance solutions, we're backing more people to go for it.  

We thrive by saying “yes” to our customers. We respect the ingenuity of entrepreneurs and their start-ups; we give first-timers a leg-up on to the property ladder; we open up the lending market to many; and thousands of customers choose MotoNovo Finance every week to buy their next car, van or motorbike. 

This is where you come in. We are on a journey. A journey defined by a destination; to deliver on our purpose. 

Let us tell you a bit about the opportunity 

We’re looking for a data-driven problem solver to shape the future of our Property division. In this role, you’ll turn insight into action—using analytics to tackle key business challenges, influence credit strategy and risk appetite, and optimise risk versus return. Your work will elevate strategic decision-making across the division, delivering clear, actionable recommendations to teams like Products and Sales to help us grow safely and effectively.

What will your day look like? 

• Analyse credit risk profiles within the Property division and use data to shape lending criteria, mortgage affordability models, and credit scorecards aligned to strategic objectives.
• Develop and maintain statistical models that support key business areas and enhance decision-making.
• Deliver actionable insights across customer, broker, commercial performance, and credit risk themes to drive business growth.
• Apply analytical rigour to both major strategic challenges and day-to-day queries, supporting teams such as Credit Risk, Sales, Products, and Operations.
• Ensure decisions are grounded in key metrics, including return on capital and earnings volatility, to optimise risk and return.
• Produce meaningful insights for committees and dashboards, while identifying gaps in analytics and prioritising development to strengthen the division’s capabilities.

What do we expect from you? 

• Advanced data analysis and statistical expertise, with proficiency in tools such as SAS, SQL, Python, and/or Tableau.
• Ability to extract key insights from complex data sets and translate them into actionable business recommendations.
• Strong stakeholder engagement and communication skills, with curiosity to understand business models and deliver meaningful analytics.
• Excellent presentation and storytelling ability, articulating insights clearly and succinctly; experience in credit risk is a strong advantage.