Head of Price Optimisation, Mortgages

Cramond Bridge
1 week ago
Applications closed

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Join us as Head of Price Optimisation in Mortgages

This is a high profile opportunity that will see you enabling the optimised price setting and distribution of agreed pricing into wider bank and sourcing systems

We’ll look to you to lead and coach a team of data scientists and software engineers to design, build and implement optimisation capabilities using enterprise-wide tooling within the bank

You’ll have the chance to partner with a range of senior stakeholders across the business, allowing you to grow your network and profile

What you'll do

We’ll be asking you to take a lead role in developing and managing price optimisation and distribution capabilities for the business area’s products, with consideration for customer, financial and risk outcomes. You’ll enable the application of game theory, demand data, competitor moves and behavioural economics within an optimiser application and user front end to minimise user data input, and deliver output summaries to assist with pricing proposal development and engagement with the business.

Your other key responsibilities will include:

Automating baseline production and simplifying the production of pricing scenarios through in-house software applications

Partnering and collaborating with key internal data and financial modelling teams to ensure appropriate price elasticity and profit models support and delivery to enable price optimisation

Ensuring close collaboration with data, technology and modelling teams in the bank to manage the alignment in tools, data, methodologies, learning and development

Making sure that all model risk and software development governance is followed as part of risk management

Partnering with technology and operational partners to ensure the operational quality of system resilience, data quality and data transfer for price distribution

The skills you'll need

You’ll need to be a strategic thinker with an advanced mathematics or computer science qualification. With excellent knowledge of price optimisation methods and multivariate techniques, you’ll also bring knowledge and experience of model risk management and model or software development governance.

As well as this, you’ll demonstrate experienced leadership of commercial impact through the application of analytical data science in financial services, deploying strategies to improve yield and return on equity.

We’ll also be looking for:

Knowledge and experience of optimisation algorithms and continuous optimisation frameworks

Knowledge and experience of computing game theory and behavioural economics

Experience in data science and big data technologies including delivery with technology and infrastructure teams

The ability to translate strategic vision into practical roadmaps, plans and delivery

Knowledge of some of the specific technologies we leverage would be an advantage and these are; Python, SQL, Snowflake, Tableau, Airflow, Amazon SageMaker, Kafka and React

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