Negotiable
Undetermined
Hybrid
Alderley Edge, England, United Kingdom
Summary: Join Royal London as an Actuarial Technician on a 12-month fixed-term contract, where you will support the actuarial team in high-impact projects focused on operational efficiency and risk reduction. This hybrid role involves collaborating on policyholder data migration projects and contributing to the development of actuarial models. You will work with large datasets and communicate findings to stakeholders, ensuring compliance with regulatory requirements. The position offers an opportunity to progress towards actuarial qualifications within a supportive and inclusive environment.
Key Responsibilities:
- Support policyholder data migration projects, testing output and collaborating with project teams to resolve issues
- Build actuarial data processes to process new data feeds
- Prepare reports and communicate findings and recommendations to stakeholders
- Contribute to the development and maintenance of actuarial models
- Ensure compliance with regulatory requirements and internal policies
Key Skills:
- Strong analytical and numerical skills
- Experience working with large datasets and data manipulation software (e.g., Excel, R, Python)
- Excellent attention to detail and problem-solving abilities
- Effective communication and teamwork skills
- Ability to manage multiple tasks and deadlines
- Previous experience in an actuarial or financial services environment is desirable
- Progress towards actuarial qualifications (e.g., IFoA exams) is an advantage
Salary (Rate): undetermined
City: Alderley Edge
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Job description: Job Title: Actuarial Technician Contract Type: 12-month Fixed Term Contract Location: Alderley Park Working style: Hybrid 50% home/office based Closing date: 5th March 2026 Join Royal London as an Actuarial Technician and play a key role in supporting our actuarial team. This is an exciting opportunity to contribute to high-impact projects within the actuarial systems and development team, helping deliver improvements in operational efficiency and reduce risk. You’ll be part of a collaborative team, primarily supporting the strategic Group policy administration system migrations.
About the role
- Support policyholder data migration projects, testing output and collaborating with project teams to resolve issues
- Build actuarial data processes to process new data feeds
- Prepare reports and communicate findings and recommendations to stakeholders.
- Contribute to the development and maintenance of actuarial models.
- Ensure compliance with regulatory requirements and internal policies.
About you
- Strong analytical and numerical skills.
- Experience working with large datasets and data manipulation software (e.g., Excel, R, Python).
- Excellent attention to detail and problem-solving abilities.
- Effective communication and teamwork skills.
- Ability to manage multiple tasks and deadlines.
- Previous experience in an actuarial or financial services environment is desirable.
- Progress towards actuarial qualifications (e.g., IFoA exams) is an advantage.
About Royal London We’re the UK’s largest mutual life, pensions, and investment company, offering protection, long-term savings and asset management products and services. Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve. We've always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance.
Inclusion, diversity and belonging We’re an Inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected – whatever their background.