Price Optimisation Full Stack Developer
Hybrid
London, United Kingdom
Full Time
17-03-2025
Job Specifications
Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive.
This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.
Job Description
Join us as a Price Optimisation Full Stack Developer
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
About the Company
Our ambition is simple: to succeed with our customers. Because when they succeed, so do we. Whether it’s buying a home, investing for tomorrow, growing a business, or helping our customers to build a more sustainable future, we can succeed with customers by understanding their world and what matters to them: their priorities, aspirations, and the challenges they face. We want to help them to navigate change and make progress towards their goals with the right services and expertise. At the same time, we are becoming a sim... Know more
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