Overview
In this role you will lead the development and enhancement of Savings forecasting and pricing capabilities, delivering models, insights and tools to inform commercial decisions. You will work across Pricing, Commercial Performance, Finance and Analytics to improve forecast accuracy and enable scenario planning. You’ll build new analytical capability, automate processes and strengthen decision making in the Savings business. This is an opportunity to shape forecasting tools and have direct impact on real-world commercial outcomes within a values-driven, inclusive environment. You will collaborate with cross-functional teams to translate business questions into analytical solutions and drive a
Pay / Benefits
- pension contribution up to 15%
- annual performance-related bonus
- share schemes including free shares
- discounted shopping
- 30 days’ holiday plus bank holidays
- wellbeing initiatives and parental leave policies
Responsibilities
- Develop, maintain and enhance Savings forecasting models supporting balance, proposition, income and pricing decisions
- Perform forecasting, scenario modelling and sensitivity analysis for planning and commercial decisions
- Translate business assumptions and market insights into forecasting models and outputs
- Contribute to forecasting methodologies to improve accuracy and transparency
- Seek opportunities to automate forecasting processes and reduce manual intervention
- Contribute to the design and implementation of new forecasting and analytics tools
- Analyse customer, market and competitor trends to inform future performance
- Produce concise, actionable insights for stakeholders across Commercial, Pricing, Finance and Product teams
- Build strong relationships to align analytical outputs with commercial objectives
- Support forecasting governance, controls and continuous improvement
Key requirements
- Experience in forecasting, analytics, modelling or data science in Financial Services or similar analytical environment
- Strong understanding of forecasting techniques, time-series and quantitative modelling
- Experience working with large and complex datasets
- Ability to translate business questions into analytical solutions
- Excellent communication skills to explain technical concepts to non-technical audiences
- Extensive experience with statistical modelling and analytical techniques
- Experience with time series, regression and driver modelling
- Experience with scenario & sensitivity analysis
- Coding in SQL and Python or R
- Highly skilled in Excel and VBA
- Data visualisation and insight storytelling
- communication
- stakeholder engagement
- problem solving
- SQL
- Python
- R
…