Actuarial Analyst; Policyholder Data

Position: Actuarial Analyst (Policyholder Data)
Location: City of Edinburgh

## Actuarial Analyst (Policyholder Data)
Apply locations:
Stirling:
Reading:
Edinburgh time type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
August 3, 2026 (13 days left to apply) job requisition :
R19910

At M&G, our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions.
Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.
Through telling it like it is, owning it now and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.
We will consider flexible working arrangements for any of our roles and offer workplace adjustments to ensure you have the support you need to succeed in your role.
*
* The Role:

** A new solution for the validation and transformation of policyholder data used in actuarial modelling and assumption setting is being built.

The role plays an active part in the validation and transformation of policyholder data for actuarial modelling and assumption setting,  pro-actively solving problems and communicating clearly with stakeholders. It operates with a strong sense of accountability while collaborating effectively with colleagues to maintain consistent standards and continuous improvement.

This role takes particular responsibility for owning actuarial requirements for the data transformation and validation once these are in BAU. It will also communicate known process issues and limitations with stakeholders.

This role contributes to delivering high-quality actuarial insight that supports confident decision-making and long-term value creation. As an Experienced Colleague, the position focuses on applying established actuarial techniques, analysing data, and producing clear, reliable outputs within defined guidelines.
*
* Main Responsibilities:

*** Deliver the specification of data transformation and validation logic to ensure that the data used in actuarial modelling, experience analysis and assumption setting is materially correct and fit for purpose.
* Use actuarial knowledge and judgement to propose simplifications to data processing or to propose accepting limitations in data based on materiality.
* Produce clear and accurate documentation to support transparency and review processes.
* Review data inputs and outputs to ensure quality, accuracy, and consistency with the transformation and model specifications.
* Support the interpretation of actuarial results, presenting findings in a clear and structured way to relevant stakeholders.
* Collaborate with wider teams to ensure alignment and effective delivery of shared objectives.
* Identify opportunities to improve processes, tools, or methodologies, contributing to ongoing efficiency.
** Key Knowledge,

Skills and Experience:

*** Strong analytical capability with the ability to interpret complex datasets.
* Understanding of actuarial principles and how they are applied within a business context.
* Experience working with data tools such as SQL, Python or Databricks
* Knowledge of UK Life insurance reserving including annuities and with profits
* Attention to detail and commitment to delivering accurate, high-quality work.
* Ability to communicate technical information clearly and effectively.
* Collaborative approach with a willingness to support team objectives.
* Comfortable working within defined frameworks while taking ownership of deliverables.
** Essential

Skills:

*** Actuarial modelling and data analysis
* Statistical and numerical reasoning
* Problem-solving and structured thinking
* Clear written and verbal communication
* Stakeholder collaboration
* Continuous improvement mindset
** Desirable

Skills:

*** Actuarial valuation of annuities
* With profits
* Data management
* Experience with data tools such as SQL, Python and Databricks
** Recruiter:
Hollie Doran
**** Close Date: 3rd August 2026
***
* Location:

Kildean, Edinburgh, Reading
***
* What we offer:

** We’re dedicated to…