The table below provides summary statistics and salary benchmarking for jobs advertised in St Albans requiring Financial Modelling skills. It covers vacancies from the 6 months leading up to 20 September 2025, with comparisons to the same periods in the previous two years.
6 months to 20 Sep 2025
Same period 2024
Same period 2023
Rank
10
-
10
Rank change year-on-year
-
-
-
Permanent jobs citing Financial Modelling
2
0
3
As % of all permanent jobs advertised in St Albans
Financial 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 requiring process or methodology skills in St Albans.
Permanent vacancies with a requirement for process or methodology skills
40
42
29
As % of all permanent jobs advertised in St Albans
93.02%
82.35%
93.55%
Number of salaries quoted
25
11
19
10th Percentile
£32,750
£41,250
£36,250
25th Percentile
£38,500
£52,500
£39,085
Median annual salary (50th Percentile)
£55,000
£75,000
£50,000
Median % change year-on-year
-26.67%
+50.00%
-23.08%
75th Percentile
£62,500
£95,000
£55,000
90th Percentile
£82,500
£100,000
£65,500
Hertfordshire median annual salary
£45,000
£55,000
£55,000
% change year-on-year
-18.18%
-
-
Financial Modelling Job Vacancy Trend in St Albans
Job postings citing Financial Modelling as a proportion of all IT jobs advertised in St Albans.
Financial Modelling Salary Trend in St Albans
Salary distribution trend for jobs in St Albans citing Financial Modelling.
Financial Modelling Top 18 Co-occurring Skills and Capabilities in St Albans
For the 6 months to 20 September 2025, job vacancies citing Financial Modelling also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the St Albans region with a requirement for Financial Modelling.
Financial Modelling Co-occurring Skills and Capabilities in St Albans 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:
