Price Optimisation Manager

NatWest Group; City of Edinburgh; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading banking institution in Edinburgh is seeking a Price Optimisation Manager to develop price optimisation processes using statistical models and analytics. The ideal candidate will have strong problem-solving skills, extensive experience in banking, and proficiency in data-driven analysis. This role provides an opportunity to significantly impact decision-making and enhance financial models.

Qualifications

• Qualified to degree level in a numerate discipline.
• Extensive banking or financial services experience.
• Knowledge of optimisation methods and model development.

Responsibilities

• Help build and deliver price optimisation capabilities.
• Manage and promote the use of statistical models.
• Provide insights through analysis to stakeholders.
• Identify opportunities for improvement in processes.

Skills

Problem solving

Data driven analysis

Statistical modelling

Mathematical modelling

Optimisation methods

Multivariate techniques

Model risk management

Big data technologies

AWS

Python

Education

Degree in a numerate discipline

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

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:

• 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