Price Optimisation Manager

NatWest Group; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading financial services provider in London is seeking a Price Optimisation Manager to drive price optimisation capabilities. The ideal candidate will have a degree in a numerate discipline and extensive experience in data analysis, statistical modelling, and the financial services industry. Key responsibilities include developing statistical models, providing insights, and collaborating across teams to integrate models effectively.

Qualifications

• Degree in a numerate discipline is required.
• Experience in data science and big data technologies is essential.
• Track record in data-driven analysis and statistical modelling.

Responsibilities

• Develop and deliver price optimisation capabilities.
• Manage and promote the use of statistical models.
• Provide insights through analysis and communicate effectively.
• Identify opportunities for improvement within models and processes.
• Maximise team performance sharing technical expertise.

Skills

Problem solving

Data analysis

Statistical modelling

Financial services experience

Optimization methods

Multivariate techniques

Model development

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