The table below provides summary statistics for permanent remote or hybrid work requiring Credit Risk Modelling skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Credit Risk Modelling over the 6 months leading up to 3 May 2025, comparing them to the same period in the previous two years.
Credit Risk Modelling falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies with remote or hybrid options requiring process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
14,134
30,993
40,912
As % of all permanent jobs with a WFH option
93.17%
91.62%
96.10%
Number of salaries quoted
9,780
23,560
28,419
10th Percentile
£30,000
£33,750
£37,500
25th Percentile
£45,000
£42,500
£47,500
Median annual salary (50th Percentile)
£60,000
£57,500
£62,500
Median % change year-on-year
+4.35%
-8.00%
+4.17%
75th Percentile
£77,500
£75,000
£82,500
90th Percentile
£102,500
£95,000
£100,000
UK median annual salary
£57,500
£55,000
£61,500
% change year-on-year
+4.55%
-10.57%
+2.50%
Credit Risk Modelling Trend for Jobs with a WFH Option
Job vacancies with remote working options citing Credit Risk Modelling as a proportion of all IT jobs advertised.
Credit Risk Modelling Salary Trend for Jobs with a WFH Option
3-month moving average salary quoted in job vacancies with remote working options citing Credit Risk Modelling.
Credit Risk Modelling Top 27 Co-occurring Skills and Capabilities in Job Vacancies with WFH Options
For the 6 months to 3 May 2025, Credit Risk Modelling job roles required the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent jobs with hybrid or remote work options and a requirement for Credit Risk Modelling.
Credit Risk Modelling Co-occurring Skills and Capabilities with WFH Options by Category
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:
