Are you ready tochart your own career path? With our refreshed strategy, we’re building on our rich heritage and transforming our business to be more scalable and efficient, unlocking the capabilities needed for future success. This includes significantly investing in technology, streamlining the way we work and creating an environment where colleagues feel engaged, empowered and accountable; where they can show up, speak up and perform - because we believe in the difference our work makes.
At a glance:
Location: Cirencester Office
Workplace Type: Hybrid (2 days in the office)
Employment Type: 9 month Fixed-Term Contract
Seniority: Mid-Senior Level
About the Role
Are you passionate about transforming financial data into actionable insights? Join our Financial Planning & Analysis (FP&A) team and play a pivotal role in supporting the business to make informed decisions. As part of a collaborative and forward thinking environment, you will be at the heart of developing and refining finance data processes, ensuring our financial outputs are accurate, compliant, and drive value across the organisation.
What You'll Be Doing
1. Lead the development and enhancement of FP&A and actuarial data processes to support business-as-usual (BAU) modelling and adapt to changes in the business model.
2. Design and implement improvements within FP&A and actuarial BAU processes, ensuring data feeds into financial models efficiently.
3. Investigate unexpected financial results through detailed data analysis, identifying trends and variations.
4. Support the creation of financial processes and insights by generating queries and analysing complex datasets.
5. Maintain robust controls to safeguard the accuracy of financial outputs and ensure compliance with relevant legislation, regulations, and professional standards.
6. Collaborate with key internal stakeholders to deliver clear, reliable financial data to teams across the business.
7. Contribute to other data-related activities as required, supporting both BAU and project-driven analysis.
Who We're Looking For
We are seeking a diligentand proactive individual who thrives in a data-driven environment. You will be comfortable working with large datasets and have a knack for simplifying complex financial concepts for a variety of audiences. The ideal candidate is a team player who takes pride in their work, builds strong relationships, and champions our organisational values.
Essential Criteria
8. Proficient in SQL and other programming languages ( Python, R).
9. A strong problem solver and able to put forward solutions
10. Excellent communication skills, able to explain complex issues in a clear and accessible way.
11. Strong data analysis skills, with experience handling very large datasets.
Desirable Skills
12. Intermediate computing skills, including Excel
13. Experience with unit linked products, fee structures, and financial data systems
14. Knowledge of actuarial techniques and concepts
What's in it for you?
We reward you for the work you do, whether that’s through our discretionary annual bonus scheme that reflects both personal and company performance, competitive annual leave allowance (28 days plus bank holidays, with the option to purchase an additional 5 days), or online rewards platform with a variety of discounts.
We also have benefits to support whatever stage of life you are in, including:
15. Competitive parental leave (26 weeks full pay)
16. Private medical insurance (optional taxable benefit)
17. 10% non-contributory pension (increasing with length of service)
Reasonable Adjustments
We're an equal opportunities employer and want to ensure our recruitment process is accessible and inclusive for all, if you require reasonable adjustment(s) at any stage please let us know by emailing us at
Research tells us that applicants (especially those from underrepresented groups) can be put off from applying for a role if they do not meet all the criteria or have been on an extended career-break. If you think you would be a good match for this role and can demonstrate some transferable experience please apply, regardless of whether you tick every box.