Credit Risk Analyst
“Turn data into insight and build your career in credit risk”
Are you a numerically minded graduate or early-career analyst who enjoys solving problems, investigating patterns and understanding the story behind the data?
At Castle Trust Bank, we pride ourselves in being a fintech challenger bank, providing specialist property mortgages, retail finance lending and savings accounts to a variety of customers.
We’re looking for a Credit Risk Analyst to join our Risk function at Castle Trust Bank. This is an excellent opportunity to develop hands-on experience across credit risk analytics, IFRS 9 model monitoring and model development within a growing specialist bank.
This role is based in London on a hybrid basis working 3 days office and 2 days at home.
The role and what you’ll lead and deliver:
You’ll work with data held in our Databricks environment, helping the team understand changes in portfolio and model performance. From investigating behavioural shifts and testing model enhancements to producing analysis for senior stakeholders, you’ll gain exposure to the full analytical and governance lifecycle rather than being limited to routine model processing.
Working closely with colleagues across Risk, Data, Finance and other areas of the Bank, you’ll:
- Analyse portfolio and model data to identify trends, anomalies, unexpected movements and emerging areas of risk.
- Support the monitoring, investigation and ongoing enhancement of the Bank’s IFRS 9 models.
- Gather, validate, reconcile and manipulate data from a range of sources.
- Explore behavioural shifts and help the team understand why model or portfolio performance may be changing.
- Support the development and structured testing of new or amended model components.
- Use tools such as Python, SQL or other analytical languages to investigate data and implement approved changes.
- Produce clear reports, presentations and commentary for both technical and non-technical audiences.
- Maintain accurate documentation covering methodologies, assumptions, testing, limitations and outcomes.
- Help prepare analytical materials for risk and model governance committees.
- Identify opportunities to improve and appropriately automate repeatable monitoring and reporting processes.
- Support audit, assurance and wider governance activity when required.
What you’ll bring:
You’ll bring a logical, curious and methodical approach, with the confidence to investigate results rather than simply accepting them at face value.
In addition, you will have:
Essential
- A degree, normally at 2:1 level or above, in a quantitative or analytical subject such as mathematics, statistics, economics, finance, data science, computer science or engineering.
- Academic experience involving mathematics, statistics, quantitative problem-solving or data analysis, potentially demonstrated through a relevant module, project or dissertation.
- Experience of analysing data and translating your findings into clear conclusions or recommendations.
- Strong numerical, analytical and problem-solving skills.
- Some practical exposure to Python, SQL, R or another analytical language, together with the ability and motivation to develop your technical capability.
- Good working knowledge of Microsoft Excel, including organising, reconciling, manipulating and analysing data.
- A structured approach to testing, with the ability to maintain clear evidence of your methods and results.
- The ability to explain analytical information clearly, both verbally and in writing.
- Strong attention to detail and the ability to manage competing priorities
Desirable
- Experience gained within banking, financial services, credit risk, modelling or another regulated environment.
- An understanding of IFRS 9 models or credit risk principles.
- Experience of model monitoring, model validation or model development.
- Exposure to Databricks or another cloud-based data and analytics platform.
- Experience creating repeatable reports, dashboards or automated analytical processes.
- Confidence using Python or SQL to undertake analytical work.
- Experience preparing analysis for senior stakeholders, governance committees, audit or assurance review.
Why join Castle Trust Bank?
- Competitive salary
- Performance bonus (based on individual and company performance)
- Generous contributory pension through Hargreaves Lansdown
- Life Assurance
- 25 days’ holiday + option to buy/sell 5 days
- Additional paid volunteering day
- Private healthcare through Equipsme (includes cash back for Dental and Optical treatment)
- Free access to BHSF Rise EAP to support colleague health and wellbeing
- Gym discounts
- Season ticket travel loans (if applicable)
- A supportive, inclusive culture where your work has real impact
Caught your attention? If so, we’d love to talk to you and tell you more about what it’s like to work at Castle Trust Bank - The Place To Work!
Castle Trust Bank is an equal opportunity employer where we celebrate diversity and are committed to creating an inclusive environment for all our colleagues to thrive. We welcome applications from all and will not discriminate against any status/characteristic protected by law and will always base our decisions on merit.
We are proud to support people with disabilities and are committed to be a Disability Confident employer. If you are a person with a disability and meet the minimum criteria for the role you will be offered an interview. Should you require any reasonable adjustment to support you in your application for one of our opportunities, please contact [email protected]
https://www.castletrust.co.uk/careers/who-we-are
Skills Required
- Degree normally at 2:1 level or above in a quantitative or analytical subject such as mathematics, statistics, economics, finance, data science, computer science, or engineering
- Academic experience involving mathematics, statistics, quantitative problem-solving, or data analysis
- Experience analyzing data and translating findings into clear conclusions or recommendations
- Strong numerical, analytical, and problem-solving skills
- Practical exposure to Python, SQL, R, or another analytical language
- Good working knowledge of Microsoft Excel, including organizing, reconciling, manipulating, and analyzing data
- Structured approach to testing with the ability to maintain clear evidence of methods and results
- Ability to explain analytical information clearly verbally and in writing
- Strong attention to detail and ability to manage competing priorities
- Experience within banking, financial services, credit risk, modelling, or another regulated environment
- Understanding of IFRS 9 models or credit risk principles
- Experience with model monitoring, model validation, or model development
- Exposure to Databricks or another cloud-based data and analytics platform
- Experience creating repeatable reports, dashboards, or automated analytical processes
- Confidence using Python or SQL for analytical work
- Experience preparing analysis for senior stakeholders, governance committees, audit, or assurance review
What We Do
Traditional financial service providers are often burdened with costly overheads including expensive branch networks, inflexible technology and huge armies of people. At Castle Trust Bank, we keep our overheads to a minimum and we use savings proceeds to fund our lending solutions. In the past, we offered investment products to our customers which proved very popular. As a bank, we now offer savings accounts, giving our customers the added benefit of FSCS protection for their deposits. Our history means that we have a strong understanding of what our customers need and have built our savings range with those customers and their needs front of mind. In a complex world, we strive for openness and clarity. We place the highest importance on treating our customers fairly not just because it's the right thing to do but because we know that the trust of our customers is crucial to our future success. We recognise that for many mortgage customers, traditional solutions don't cut the mustard. These customers can often have high quality assets but unconventional income and so find it difficult to borrow at reasonable rates and on sensible terms. What experienced buy to let investors need is lending with imagination. They need a lender that recognises cash flow and net worth are not the same thing. They need a lender that is flexible in their approach and makes considered, logical decisions. Castle Trust Bank is that lender. We also offer point of sale finance through our Omni Capital Retail Finance arm. Partnering with retailers nationwide, we support their business by offering finance plans to their customers. OmniPort technology gives retailers paperless credit approval which fits seamlessly with their sales processes and customers can use our dedicated customer portal to keep up to date with their loans
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