Head of Price Optimisation, Mortgages

JR United Kingdom; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Head of Price Optimisation to lead a dynamic team in the mortgage sector. This pivotal role involves developing and managing pricing strategies that leverage advanced mathematics and data science techniques. You'll work closely with senior stakeholders to ensure optimal pricing distribution across various platforms, utilizing cutting-edge technologies. The ideal candidate will possess extensive knowledge in price optimisation, model risk management, and strong leadership skills. Join a forward-thinking organization where your expertise will drive significant financial outcomes and enhance operational efficiencies.

Qualifications

• Strategic thinker with advanced mathematics or computer science qualification.
• Experienced in leadership and commercial impact through analytical data science.

Responsibilities

• Lead and manage price optimisation capabilities for business products.
• Collaborate with internal teams for price elasticity and profit models.

Skills

Advanced Mathematics

Price Optimisation Methods

Multivariate Techniques

Model Risk Management

Analytical Data Science

Leadership

Education

Degree in Mathematics or Computer Science

Tools

Python

SQL

Snowflake

Tableau

Airflow

Amazon SageMaker

Kafka

React

Job description

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Head of Price Optimisation, Mortgages, London

Client: NatWest

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 3

Posted: 08.05.2025

Expiry Date: 22.06.2025

Job Description:

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.