Head of Price Optimisation, Mortgages

NatWest Group; London; Remote; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Head of Price Optimisation to lead a team of data scientists and engineers. This pivotal role involves designing and implementing optimisation capabilities while collaborating with senior stakeholders. You'll leverage advanced mathematical techniques and game theory to enhance pricing strategies, ensuring alignment with financial and risk outcomes. This position offers the opportunity to work in a remote-first environment, allowing you to make a significant impact on pricing strategies and operational quality. If you're passionate about data science and financial services, this role is perfect for you.

Qualifications

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

Responsibilities

• Lead the development and management of price optimisation capabilities.
• Collaborate with internal data and financial modelling teams.

Skills

Strategic Thinking

Advanced Mathematics

Price Optimisation Methods

Multivariate Techniques

Model Risk Management

Analytical Data Science

Commercial Impact Leadership

Education

Degree in Mathematics or Computer Science

Tools

Python

SQL

Snowflake

Tableau

Airflow

Amazon SageMaker

Kafka

React

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

Hours

35

Job Posting Closing Date:

13/05/2025 Ways of Working:Remote First