Mortgage Product & Risk Analyst
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-06-27
Listing for:
Stellar Select
Full Time
position Listed on 2026-06-27
Job specializations:
-
Finance & Banking
Financial Analyst, Banking Analyst, Risk Manager/Analyst, Financial Advisor / Consultant
Job Description & How to Apply Below
Job Title:
Mortgage Product & Risk Analyst
Location:
London Hybrid 2-3 days
Salary: £35,000 & £50,000 depending on experience
Hours:
Monday to Friday 9 am to 5.30 pm
- Hybrid working (3 days in the London office)
- Discretionary bonus scheme (where applicable)
- Pension scheme
- 25 days annual leave plus bank holidays
- Growing fintech environment
Our client is a fast‑growing fintech mortgage lender focused on the UK residential mortgage market. This is an excellent opportunity for an Analyst with credit risk modelling experience, along with either product or pricing analytics expertise, to join a high‑growth environment and play a key role in shaping lending, pricing, and product decisions.
Responsibilities- Support product, pricing, and lending decisions through insight and analysis
- Conduct market and competitor research across the UK mortgage landscape
- Present findings and insights to stakeholders across the business
- Support continuous improvement of processes, reporting, and decision‑making approaches
- Use data and market insight to produce clear commercial recommendations
- Explore and apply AI and modern tools to improve research, analysis, and efficiency
- Numeracy and analytical skills, with the ability to analyse data, support modelling, and collate qualitative information – market research
- Ability to interpret and combine multiple sources of information to generate clear, structured insight
- Strong attention to detail and a methodical, well‑organised approach to work
- Good communication skills with the ability to build effective relationships with stakeholders
- Curious mindset with a strong desire to learn and develop expertise within the mortgage
- Exposure to analytical tools such as SQL, Python, or SAS
- Experience in credit risk and pricing or product analytics with knowledge of UK mortgage processes, products, criteria, preferably residential mortgages
- Experience using AI tools to support research, analysis or process improvement
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