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Quantitative Analyst
Homes England | National Housing Bank
£69,831 – £93,055 | Location: Hybrid 50/50 Our new Headquarters are in Leeds but colleagues can be based in any of our offices (Leeds, Newcastle, Manchester, Liverpool, Birmingham, Bristol, London or Northstowe)
Homes England is launching the National Housing Bank, a new government-backed investment platform to accelerate housing delivery across England.
With £16bn in capital, it will unlock private investment, support regeneration and accelerate housing delivery across the UK. Joining now offers a rare opportunity to shape a major new national investment platform from the ground up.
Homes England is the government’s housing and regeneration agency. It uses grant, land, lending, equity investment and guarantees to increase housing supply and support regeneration across England. Homes England also manages the existing Help to Buy equity loan portfolio. Its subsidiary, the National Housing Bank (NHB), provides lending, equity investment and guarantees to support housing delivery. Together, Homes England and the NHB require robust quantitative analysis to understand and manage financial risk across a large and diverse portfolio.
The Quantitative Risk and Stress Testing team is looking for an individual with a strong quantitative background to play a key role in the development and maintenance of a suite of analytical tools and financial risk models to help the business to better quantify, understand and manage the quantitative risks it is running.
Using their expert mathematical and technological skills, coupled with advanced financial risk knowledge, the individual will analyse, quantify, and forecast financial risk to inform risk management decisions across the Agency. The individual will play a pivotal role in the design and build of advanced production-quality financial risk forecasting models and methodologies used for economic capital, credit risk, stress testing and portfolio risk assessment that will be implemented using a range of sophisticated tools and techniques. In addition, they will generate approaches for effective stress testing of our portfolios across our activities, making use of the latest economic and market data.
The individual will need to work closely with colleagues across the business to ensure risk is being properly captured and quantified and to develop meaningful analysis to support the Agency’s understanding of risk and business planning.
The opportunity
Responsibilities include:
- Develop, maintain, document, and enhance a comprehensive suite of quantitative financial risk models built in Python and SQL. These models include Value at Risk (VaR), cashflow forecasting, survival forecasting, machine learning applications, investment return modelling, ECL, PD, EAD, LGD, and Monte Carlo simulation.
- Production of high-quality stress testing analysis and reporting to assess and monitor financial risk exposure against the Homes England Board’s defined Risk Appetite.
- Develop realistic scenario and sensitivity analyses based on regularly updated economic forecasts and market data as well as Homes England’s historic performance and relevant regulatory or industry standards.
- Conduct comprehensive risk assessments and detailed portfolio analysis to understand the portfolio and identify potential vulnerabilities.
- Utilise advanced statistical techniques and tools to analyse large datasets, ensuring accuracy of analysis results.
- Ensure all models comply with regulatory requirements and internal policies, maintaining the highest standards of compliance.
- Stay updated with latest developments in quantitative finance implementing best practices and driving continuous improvement in model performance.
- Produce high quality, clear, and accessible analysis to inform decision making and policy development across Homes England. Prepare and present detailed user-friendly reports for senior management and stakeholders, summarising analysis results and key findings.
- Contribute to the identification of data and system requirements and solutions related to quantitative analysis for inclusion in the Homes England Digital Strategy.
- Collaborate with senior risk management, finance, and IT leaders to integrate modelling and analysis into the broader risk management framework.
- Perform periodic updates on data repositories, assumptions, models, and processes to enable the production of Homes England portfolio-level risk reporting and in order to comply with IFRS9 accounting requirements.
- Support financial and related modelling more widely across the Agency, reviewing models and providing input to the development of approach.
- Flexible, agile and able to effectively pivot activity as operational requirements develop and effectively manage competing business needs.
Candidate profile
- Outstanding numerical and analytical ability, supported by a masters degree in a highly quantitative field such as Mathematics, Statistics, or Physics, or equivalent significant professional experience.
- Proven track record in a similar role, specialising in quantitative financial risk modelling, quantitative analysis, and quantitative model development.
- Advanced programming skills in Python, SQL, and VBA, demonstrating a high level of technical proficiency and proven experience of delivering production-grade solutions.
- Expertise in Microsoft Excel, including advanced functions for sophisticated data manipulation and analysis.
- Hands-on experience in model development using tools such as VS Code, Databricks, SQL, Azure DevOps (ADO), and Git.
- Extensive experience of portfolio analysis and automated reporting (e.g. using Power BI).
- Deep understanding of the end-to-end modelling lifecycle, with a strong track record in the design, development, documentation, testing, and validation of quantitative models.
- Strong organisational and project management capabilities with excellent attention to detail and ability to prioritise and work under pressure and provide challenge and guidance.
- Excellent interpersonal skills, with a collaborative approach to team working and stakeholder engagement.
- Exceptional communication skills - adept at translating technical concepts for non-subject matter experts, ensuring comprehensive understanding across all organisational levels via various formats (e.g. presentations, reports etc).
- Evidence of commitment to continuous improvement, consistently seeking ways to enhance processes and outcomes.
- Ability to work independently and with autonomy and demonstrate commercial awareness.
- Desirable: Knowledge of the real estate sector, particularly the housing market in England.
- Desirable: Previous experience working within or alongside government organisations.
Why join?
- Help build a new national investment institution
- Work on complex housing and regeneration transactions
- Deploy £16bn of government-backed capital
- Hybrid 50/50 working across multiple national locations
- Defined benefit pension and strong public-sector benefits
Contact point for applicants
Name : Rebecca Nolan
Email : rebecca.nolan@weareams.com
Recruitment team
Email : psrpermapplications@weareams.com
Closing date: 13th July 2026
Right to Work in the UK is required.