Job Description

Join us as a Price Optimisation Manager

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'll look to you to develop processes that enable the distribution of agreed pricing into wider bank and sourcing systems You'll 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

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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'll 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'll 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

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We're looking for a keen problem solver who's 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'll have knowledge of optimisation methods and multivariate techniques, and model development, model risk management and model monitoring experience.


You'll 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 An understanding and experience of statistical techniques and using various coding languages to build robust, efficient models Broad experience of risk and finance systems, methodologies and processes in a retail or wholesale banking environment * An understanding of the regulatory regime and risk management and control processes applicable to businesses within the financial services industry