Price Optimisation Manager - Edinburgh

• 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

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

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:

• The ability to translate complex statistical problems into simple and easy to understand concepts
• Good understanding and experience of developing statistical techniques and using various coding languages to build scalable, robust and efficient models
• Hands-on proven experience as a Full Stack Developer or similar role, with experience working on Snowflake, Python, AWS-Sagemaker, React, DevOps and Git
• Familiarity with RESTful APIs and microservices architecture
• Knowledge of Software Testing framework and practices