Statistical assistant to actuarial assistant
A statistical assistant already meets 36% of what the actuarial assistant role asks for. The move turns on 5 required skills not yet in the profile.
57.2/ 100
1 How much of what an actuarial assistant is expected to do is already part of a statistical assistant’s work. Directional: the figure for the reverse move differs, because moving into a speciality is not the same problem as moving out of one. 2 Every skill the actuarial assistant role is recorded as needing, required and optional together. What these numbers mean.
Why this move works
An actuarial assistant role treats 5 of its required skills as things a statistical assistant already does. You would walk in with these on day one.
- apply statistical analysis techniques
- carry out statistical forecasts
- compile statistical data for insurance purposes
- statistical analysis system software
- statistics
What stands in the way is 5 required skills the profile does not yet cover. Table 3 groups them; Table 4 says which to take first.
Table 2 · What you already bring
Of the 6 skills that carry over, these are the ones fewest other occupations ask for. An actuarial assistant role needs them, and most people applying for one will not have them already. This is the part of a statistical assistant background worth leading with.
- already held compile statistical data for insurance purposes information skills
- already held produce statistical financial records information skills
- already held statistical analysis system software natural sciences, mathematics and statistics
- already held carry out statistical forecasts information skills
- already held apply statistical analysis techniques information skills
- already held statistics natural sciences, mathematics and statistics
All 6 carried skills, including the 5 the actuarial assistant role treats as required.
Table 3 · What you may need to learn
The 18 missing skills fall into 4 areas of the ESCO skill hierarchy, numbered in the order worth working in. Areas carrying the most required skills come first, and inside each one the required skills sit above the optional ones. Nothing here is a verdict on you: it is a list of what this particular job asks for that your current one does not.
- still to learn calculate insurance rate required
- still to learn analyse market financial trends required
- still to learn obtain financial information required
- optional, not held consult credit score optional
- optional, not held analyse financial risk optional
- optional, not held analyse insurance risk optional
- optional, not held examine credit ratings optional
- optional, not held perform risk analysis optional
- optional, not held provide cost benefit analysis reports optional
- still to learn financial markets required
- optional, not held principles of insurance optional
- optional, not held insurance law optional
- optional, not held insurance market optional
- optional, not held risk management optional
- optional, not held types of insurance optional
- still to learn actuarial science required
- optional, not held advise on insurance policies optional
- optional, not held create insurance policies optional
Table 4 · Where to start
The 3 entries an actuarial assistant role is least likely to hire without. The ordering is computed from the skill data, not from what pays.
- 01 actuarial science study this
- 02 calculate insurance rate practise this
- 03 analyse market financial trends practise this
Each entry opens a course search for that skill. Career Overlap earns nothing from these links.
Appendix · The rest of the record
All 6 skills that carry over
- already held apply statistical analysis techniques skill
- already held carry out statistical forecasts skill
- already held compile statistical data for insurance purposes skill
- already held statistical analysis system software knowledge
- already held statistics knowledge
- already held produce statistical financial records skill
13 supplementary skills, helpful but not required
- optional, not held advise on insurance policies optional
- optional, not held consult credit score optional
- optional, not held principles of insurance optional
- optional, not held analyse financial risk optional
- optional, not held analyse insurance risk optional
- optional, not held create insurance policies optional
- optional, not held examine credit ratings optional
- optional, not held insurance law optional
- optional, not held insurance market optional
- optional, not held perform risk analysis optional
- optional, not held provide cost benefit analysis reports optional
- optional, not held risk management optional
- optional, not held types of insurance optional
32 held skills the actuarial assistant role does not ask for
- not needed by the target role algorithms knowledge
- not needed by the target role analyse big data skill
- not needed by the target role apply scientific methods skill
- not needed by the target role assist scientific research skill
- not needed by the target role conduct financial surveys skill
- not needed by the target role conduct public surveys skill
- not needed by the target role conduct quantitative research skill
- not needed by the target role data quality assessment knowledge
- not needed by the target role data science knowledge
- not needed by the target role deliver visual presentation of data skill
- not needed by the target role design questionnaires skill
- not needed by the target role develop financial statistics reports skill
- not needed by the target role digital data processing skill
- not needed by the target role execute analytical mathematical calculations skill
- not needed by the target role gather data skill
- not needed by the target role identify statistical patterns skill
- not needed by the target role manage database skill
- not needed by the target role mathematics knowledge
- not needed by the target role perform clerical duties skill
- not needed by the target role perform data analysis skill
- not needed by the target role perform scientific research skill
- not needed by the target role process data skill
- not needed by the target role quantitative analysis knowledge
- not needed by the target role research design knowledge
- not needed by the target role revise questionnaires skill
- not needed by the target role scientific research methodology knowledge
- not needed by the target role statistical modeling techniques knowledge
- not needed by the target role survey techniques knowledge
- not needed by the target role tabulate survey results skill
- not needed by the target role use spreadsheets software skill
- not needed by the target role write technical reports skill
- not needed by the target role write work-related reports skill
7 gaps that are knowledge rather than practice
Knowledge gaps usually close through study. Practical skill gaps usually need something you can point at.
- still to learn actuarial science required
- still to learn financial markets required
- optional, not held principles of insurance optional
- optional, not held insurance law optional
- optional, not held insurance market optional
- optional, not held risk management optional
- optional, not held types of insurance optional
Common questions about this move
Can a statistical assistant become an actuarial assistant?
Yes, and it is a substantial move. A statistical assistant already covers 36% of what an actuarial assistant is expected to do: 6 skills carry over, 5 of which the actuarial assistant role treats as required.
What skills does a statistical assistant need to become an actuarial assistant?
5 required skills are missing, plus 13 optional ones. They fall into 4 areas of the ESCO skill hierarchy, led by information skills. The single most important is actuarial science.
How hard is the move from statistical assistant to actuarial assistant?
Its learning distance is 57.2 out of 100, which is the substantial band. That accounts for both how much is missing and how specialised those skills are.
How this record was compiled
Both occupations are taken from ESCO, which lists the skills and knowledge each occupation is expected to have and marks every one required or optional. Nothing here is a prediction about hiring, and nothing here knows that a particular employer wants a particular certificate. Treat Table 3 as a starting point for your own research rather than a syllabus. The full method states what these figures can and cannot tell you.