Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead Property Risk Analytics and enhance data products for mortgage lenders.
- Company: Join Hometrack, a leader in redefining the mortgage journey with innovative analytics.
- Benefits: Enjoy flexible working, generous leave, health support, and a great pension scheme.
- Why this job: Make a real impact in the mortgage industry with your analytical expertise.
- Qualifications: Strong background in data analytics and programming skills required.
- Other info: Collaborative environment with opportunities for professional growth and development.
The predicted salary is between 43200 - 72000 £ per year.
About Hometrack
At Hometrack we are redefining the mortgage journey for lenders, brokers, and consumers by providing market-leading digital valuation, property risk decisioning, and property data services. Our key commercial segments include financial services—particularly mortgage lenders, including nine of the top ten UK providers—as well as property developers and investors.
Role Overview
Hometrack is seeking maternity cover for a senior analytics leader to own and lead Property Risk Analytics across our product suite. This role is suitable for a Principal Analyst, Senior Consultant, or existing Head of Analytics with strong technical capability, great communication skills, and experience in mortgage lending. This role has a strong hands-on component and is focused on ensuring the quality, performance, and commercial impact of Hometrack’s Property Risk data products. You will lead complex analytical work on mortgage application and survey data, back-test and evolve property risk metrics, and deliver bespoke lender analysis to support both existing clients and new product growth. You will work closely with engineering, product, analytics, and customers to ensure property risk products are robust, explainable, and aligned to real lender decision-making and risk frameworks.
What You’ll Be Responsible For
- Property Risk Product Analytics
- Lead the improvement, maintenance, and performance monitoring of Hometrack’s Property Risk data products and metrics.
- Design and deliver back-testing and performance analysis of property risk indicators using mortgage application, valuation, and survey datasets.
- Identify data quality issues, coverage gaps, and model limitations, and work with the engineering and analytics teams to resolve them.
- Translate analytical findings into clear, actionable recommendations for product evolution.
- Client & Commercial Analytics
- Deliver bespoke lender analysis to support client decision-making, product adoption, and commercial conversations.
- Support the commercial success of new Property Risk products, providing analytics that demonstrate value, risk reduction, or operational efficiency for lenders.
- Act as a senior analytical point of contact for key clients, helping them understand how property risk outputs should be interpreted and embedded into their processes.
- Support go-to-market activity with robust, evidence-based insight.
- Feed real-world client challenges and lender policy requirements back into product and analytics roadmaps.
- Cross-Functional Collaboration
- Work closely with engineering to ensure analytical requirements are translated into scalable, production-ready data products.
- Collaborate with Data Science to improve risk product capability.
- Partner with other analysts to deliver product insight, client reporting, and deep-dive investigations.
- Stakeholder Engagement & Influence
- Engage confidently with stakeholders at all levels, from technical teams to senior client and commercial leadership.
- Explain complex analytical concepts, risk metrics, and data limitations in a clear and pragmatic way.
- Act as an internal advocate for strong analytical standards, explainability, and data driven decision making.
Skills & Experience
- Essential
- Strong background in data analytics within a mortgage lender, property business, consultancy, or a software/data supplier to mortgage lenders.
- Proven experience conducting complex analysis on large datasets, including performance analysis and back-testing of risk metrics.
- Strong programming and data analysis capability (e.g. SQL, Python, Spark, or similar), with the ability to turn analysis into clear insight.
- Experience working closely with engineering teams to develop and maintain data products.
- Confident communicator, able to engage credibly with clients and internal stakeholders.
- Desirable
- Understanding of mortgage lending processes, property valuation and survey data, and/or property or secured credit risk.
- Experience working with mortgage application data, surveyor reports, or valuation data.
- Familiarity with cloud-based analytics environments (AWS or Azure).
- Experience using Databricks or similar analytics platforms.
- Background in analytics supporting product development or go-to-market activity.
Qualifications
- Bachelor’s degree in a quantitative field such as Mathematics, Economics, Physics, Computer Science, or similar.
- Advanced degree or equivalent professional experience is advantageous.
- Strong applied statistical knowledge, with experience using statistical techniques in real-world analytical problems.
Everyday Flex – greater flexibility over where and when you work
- 25 days annual leave + additional days for long service
- Day off for your house move, good deed day, and digital detox day
- Cycle to Work and Electric Car schemes
- Free Calm App membership
- Enhanced parental leave
- Fertility treatment financial support
- Group income protection and private medical insurance
- On-site gym in London
- 7.5% employer pension contribution
- Discretionary annual bonus up to 10%
- Talent referral bonus up to £5,000
Principal Analyst employer: Houseful
Contact Detail:
Houseful Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with current or former employees at Hometrack. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for interviews by diving deep into Hometrack’s products and services. Understand their Property Risk Analytics and think about how your skills can enhance their offerings. Show them you’re not just another candidate, but someone who gets what they do!
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of your past work, especially those that relate to mortgage lending and data analytics. Make it relatable and show how your experience aligns with their needs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Hometrack team.
We think you need these skills to ace Principal Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal Analyst role. Highlight your experience in data analytics, especially within mortgage lending, and showcase any relevant technical skills like SQL or Python. We want to see how your background aligns with what we do at Hometrack!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about property risk analytics and how your skills can contribute to our mission. Keep it engaging and make sure to connect your experiences to the role's responsibilities.
Showcase Your Analytical Skills: In your application, don’t just list your skills—demonstrate them! Include examples of complex analyses you've conducted and how they impacted decision-making. We love seeing real-world applications of your analytical prowess!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Hometrack!
How to prepare for a job interview at Houseful
✨Know Your Data Inside Out
As a Principal Analyst, you'll be dealing with complex datasets. Make sure you brush up on your knowledge of mortgage application data and property risk metrics. Be prepared to discuss specific examples of how you've conducted performance analysis or back-testing in the past.
✨Communicate Clearly and Confidently
You'll need to explain complex analytical concepts to various stakeholders. Practice articulating your thoughts clearly and concisely. Use real-world examples to demonstrate how your insights have influenced decision-making in previous roles.
✨Showcase Your Technical Skills
Familiarise yourself with the programming languages and tools mentioned in the job description, like SQL and Python. Be ready to discuss how you've used these skills to solve analytical problems or improve data products in your previous positions.
✨Engage with the Company’s Vision
Research Hometrack's approach to redefining the mortgage journey. Be prepared to share your thoughts on their products and how your experience aligns with their goals. Showing genuine interest in their mission can set you apart from other candidates.