For someone with a background in data driven analysis and statistical or mathematical modelling, this is a valuable opportunity to help deliver price optimisation capabilities within the franchise
We\xe2\x80\x99ll look to you to develop processes that enable the distribution of agreed pricing into wider bank and sourcing systems
You\xe2\x80\x99ll be supporting the business in using insight from our modelling suite to drive effective decision making, giving you excellent recognition and the chance to raise your profile
What you\'ll do
This key role will see you helping to build and deliver price optimisation and distribution capabilities for the franchise by leveraging all input financial, price elasticity models and business constraints. You\xe2\x80\x99ll be developing and maintaining effective statistical profitability models and associated analytics, while providing actionable MI on all aspects of model performance.
As well as this, you\xe2\x80\x99ll be:
Managing and promoting the use of models
Providing insight through analysis and communicating this effectively to our stakeholders
Working with the customer franchises and broader functions so that the model suite is integrated with other activities to ensure effective and efficient delivery
Identifying opportunities for improvement, both in terms of the models and measures produced, and the approaches and processes used within the team
Working with the team manager and other modelling managers to maximise team performance and effectiveness, sharing your technical expertise to improve team capability
The skills you\'ll need
We\xe2\x80\x99re looking for a keen problem solver who\xe2\x80\x99s qualified to degree level in a numerate discipline with a track record in data driven analysis and statistical or mathematical modelling. Along with extensive banking or financial services experience, you\xe2\x80\x99ll have knowledge of optimisation methods and multivariate techniques, and model development, model risk management and model monitoring experience.
You\xe2\x80\x99ll also need:
Experience in data science and big data technologies, including AWS and Python
The ability to translate complex and statistical techniques into simple, easily understood concepts and outputs
Experience in building user-friendly front end interfaces using tools such as React/Flask and R Shiny
Experience in creating models and/or applications on AWS, and deploying into regular production
An understanding and experience of statistical techniques and using various coding languages to build robust, efficient models