I am supporting an established UK building to hire two Treasury Analytics Lead. Operating in a highly regulated environment, they place strong emphasis on prudent risk management, data-led decision-making and modern technology to support their mortgage, savings and lending portfolios.
As part of our continued investment in analytics and modelling capability, they are seeking two technically strong developers with quantitative or statistical modelling experience to join their growing team in Coventry.
The Role
This role sits at the intersection of software development, quantitative analysis and financial modelling. You will design, build and maintain analytical models and tooling that support core business activities such as credit risk, pricing, balance sheet management, stress testing and regulatory reporting.
You will work closely with risk, finance, treasury, product and data teams, helping to translate complex quantitative models into robust, production-ready solutions. The role offers the opportunity to influence both technical architecture and business outcomes in a purpose-driven financial institution.
Key Responsibilities
* Develop, implement and maintain models used for risk, pricing, forecasting, capital, or balance sheet analysis
* Translate mathematical, statistical, or economic models into scalable, well-engineered code
* Build and support calculation engines, model libraries and analytical pipelines used across the society
* Collaborate with risk analysts, actuaries and data scientists to productionise models and scenarios
* Ensure models are transparent, well-documented and auditable, in line with regulatory expectations
* Support model validation, testing and performance monitoring
* Optimise model performance and ensure accuracy, stability and maintainability
* Contribute to the evolution of modelling standards, tooling and best practices
* Participate in peer code reviews and technical design discussions
Required Skills & Experience
Technical Skills
* Strong software development experience in one or more of: Python, C++, Java, C#, or similar
* Solid understanding of: Statistical modelling, quantitative methods, or numerical analysis
* Experience working with: Financial models, risk models, or forecasting frameworks
Quantitative / Analytical Background
* Degree (or equivalent experience) in a quantitative subject such as: Mathematics, Statistics, Physics, Engineering, Economics, or Computer Science
* Experience implementing or supporting models such as: Credit risk, stress testing, IRRBB, liquidity, pricing, or capital models (desirable)
The Package
* Competitive salary up to £80,000
* Annual discretionary bonus of approximately 10%
* Hybrid working with 2 days per week in Coventry
* Generous holiday allowance, plus bank holidays
* Ongoing learning and professional development opportunities