Data Analyst (Actuarial Modelling) in Stirling

Data Analyst (Actuarial Modelling) in Stirling

Stirling Full-Time 40000 - 50000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse and transform data for actuarial modelling, ensuring accuracy and clarity.
  • Company: Join M&G, a leader in savings and investments with over 175 years of innovation.
  • Benefits: Enjoy 38 days annual leave, flexible working, and a valuable pension scheme.
  • Other info: Inclusive culture with opportunities for personal and professional growth.
  • Why this job: Make a real impact by improving data processes and supporting business decisions.
  • Qualifications: Strong analytical skills and proficiency in data analysis tools like Python and SQL.

The predicted salary is between 40000 - 50000 £ per year.

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. This role will operate, maintain and make BAU updates to the new data pipelines which will validate, transform and enrich data for use in actuarial modelling and assumption setting. It will use its strong data analysis skills to investigate and resolve data issues found pre-emptively or those raised by stakeholders. The role contributes to the continuous improvement of data processes, ensuring accuracy, consistency, and clarity in outputs while working within defined guidelines. Communication of findings is clear, structured, and tailored to support stakeholders in progressing with confidence.

Main Responsibilities:

  • Ensure data integrity by applying validation, quality checks, and governance standards.
  • Collaborate with stakeholders to understand data requirements and translate them into transformation logic and code that into the pipeline.
  • Support internal and external audit queries with timely and comprehensive responses.
  • Apply data analysis techniques to answer queries raised by users of the data.
  • Produce clear and accurate reports, dashboards, and visualisations to support business decisions.
  • Support the development and refinement of data processes, tools, and methodologies.
  • Communicate findings in a concise, structured, and accessible way to both technical and non-technical audiences.
  • Work independently within established frameworks, managing own workload and delivering high-quality outputs.

Key Knowledge, Skills and Experience:

  • Strong analytical capability with the ability to interpret and translate data into meaningful insights.
  • Proficiency in data analysis tools, reporting platforms, and structured query languages, in particular Databricks, Spark, Spark SQL and Python/pyspark.
  • Understanding of data governance, data quality, and validation practices.
  • Ability to communicate complex information in a clear, structured, and engaging way.
  • Strong attention to detail and commitment to delivering accurate, high-quality work.
  • Collaborative approach, with the ability to build effective working relationships across teams.
  • Experience working in Financial Services or a similar heavily audited environment with an understanding of operating controls and producing audit evidence.
  • Ability to prioritise tasks and manage workload effectively within defined processes.

Essential Skills:

  • Financial Services experience.
  • Data validation.
  • Programming/scripting for data analysis.
  • Data visualisation and reporting.
  • Problem-solving and critical thinking.
  • Attention to detail.
  • People management.
  • Communication and storytelling with data.
  • Stakeholder engagement.
  • Time and workload management.
  • Continuous improvement mindset.

Desirable Skills:

  • UK Life Insurance experience.
  • Databricks, Spark, Spark SQL and Python/pyspark.

What we offer: We’re dedicated to supporting your wellbeing and helping you thrive, both at work and beyond. Our benefits are designed to help you balance your professional and personal life, and financially plan for the future. Our UK benefits include:

  • A valuable pension scheme of up to 18% (13% made up of employer contributions and 5% employee contributions).
  • Access to our Share Save and Share Incentive Plan, alongside financial wellbeing and support services.
  • Enjoy 38 days annual leave (including bank holidays), with the opportunity to purchase up to five extra days.
  • Our Time Off When You Need It policy gives you the flexibility to balance work and personal commitments.
  • Our market-leading Inspiring Families policy includes comprehensive support and paid parental leave covering maternity, adoption, surrogacy, and paternity leave.
  • Health & Protection cover includes Private Healthcare, Critical Illness cover and Life Assurance for you, with additional family options.

At M&G we strive to have a diverse workforce and an inclusive culture, underpinned by our policies and employee-led networks that offer networking, support and development opportunities for the diverse communities our colleagues represent. We welcome applications from people of all backgrounds – across gender, ethnicity, age, disability, sexual orientation and more – including neurodivergent individuals, career returners and those with military service experience.

M&G is proud to be Level 3: Disability Confident Leader under the UK Government Disability Confident employer scheme, and we welcome applications from candidates with disabilities and long-term health conditions. If you would like to participate in the initiative, you will have the opportunity to indicate this on your application.

We are committed to providing an inclusive recruitment process. All candidates have the opportunity to request reasonable adjustments when applying. If you need any additional support at any stage, please contact us at: careers@mandg.com

Data Analyst (Actuarial Modelling) in Stirling employer: Prudential UK Services

M&G is an exceptional employer that prioritises employee wellbeing and professional growth, offering a generous benefits package including an 18% pension scheme, 38 days of annual leave, and comprehensive family support policies. With a commitment to inclusivity and flexible working arrangements, M&G fosters a collaborative work culture where employees can thrive and contribute to innovative solutions in the financial services sector, particularly in the dynamic environment of Reading and London.

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Contact Details:

Prudential UK Services Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst (Actuarial Modelling) in Stirling

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We think you need these skills to ace Data Analyst (Actuarial Modelling) in Stirling

Data Analysis
Data Validation
Programming/Scripting (Python/PySpark)
Databricks
Spark
Spark SQL
Data Visualisation

Some tips for your application 🫡

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