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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 data services.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in the mortgage industry with your analytical skills.
- Qualifications: Strong background in data analytics and programming skills required.
- Other info: Collaborative environment with opportunities to engage with top clients.
The predicted salary is between 36000 - 60000 £ 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.
- 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.
- 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.
- 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.
Principal Analyst (Hiring Immediately) in London employer: Houseful
Contact Detail:
Houseful Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Analyst (Hiring Immediately) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the mortgage and property sectors. We all know that sometimes it’s not just what you know, but who you know. Attend industry events or webinars to meet potential employers and make a lasting impression.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your past analytical work, especially any projects related to property risk or mortgage lending. This will help us demonstrate your hands-on experience and technical capabilities during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors, focusing on explaining complex analytical concepts clearly. This will help you engage confidently with stakeholders and show off your communication skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Don’t hesitate to follow up after applying to express your enthusiasm!
We think you need these skills to ace Principal Analyst (Hiring Immediately) in London
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 projects that demonstrate your technical skills and analytical prowess.
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 background aligns with Hometrack's mission. Be sure to mention specific skills or experiences that relate directly to the job description.
Showcase Your Technical Skills: Since this role requires strong programming and data analysis capabilities, make sure to highlight your proficiency in SQL, Python, or any other relevant tools. Include examples of how you've used these skills to solve complex problems in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role as quickly as possible. Don’t miss out on this opportunity!
How to prepare for a job interview at Houseful
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of data Hometrack deals with, especially mortgage application and survey datasets. Brush up on your SQL and Python skills, as you'll likely need to demonstrate your technical capabilities during the interview.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of complex analyses you've conducted in the past. Be ready to explain how you’ve back-tested risk metrics or improved data products, as this will highlight your hands-on experience and problem-solving abilities.
✨Communicate Clearly and Confidently
Practice explaining complex analytical concepts in simple terms. You’ll need to engage with stakeholders at various levels, so being able to articulate your insights clearly will be crucial for success in this role.
✨Understand the Business Context
Familiarise yourself with the mortgage lending landscape and the specific challenges lenders face. This knowledge will help you tailor your responses and demonstrate how your analytical work can directly support client decision-making and product adoption.