An established and well-regarded financial services organisation is looking to appoint a Financial Data Analyst to join its Actuarial / Financial Reporting function.
This role would suit a numerate, detail-focused analyst who enjoys working with complex financial data, improving controls and processes, and supporting reporting within a regulated environment. The position offers broad exposure across valuations, management information, and project work, with regular interaction with senior stakeholders.
The Role
You will be responsible for supporting the financial and risk management activities of the business, with a particular focus on data quality, reconciliation, and reporting.
Key responsibilities will include:
Owning the data reconciliation process for monthly and year-end actuarial valuations
Identifying and implementing process improvements to enhance data accuracy and efficiency
Developing and maintaining a robust control framework around financial data used for actuarial purposes
Producing and updating financial and risk dashboards for senior management, Boards, and Committees
Supporting regular management information (MI) reporting
Leading demographic experience investigations and contributing to annual experience analysis
Supporting cross-functional projects, responding to data and analysis queries as required
Maintaining clear documentation of processes, controls, and procedures
The Candidate
The successful candidate is likely to have a strong analytical mindset and experience working with financial datasets in a structured, regulated environment.
Essential requirements:
Degree-level qualification (or equivalent) in a numerate discipline
Experience analysing, summarising, and reconciling financial data
Strong Excel capability and high level of computer literacy (SQL desirable)
Excellent numeracy, attention to detail, and problem-solving skills
In return you will be rewarded with a friendly, supportive working environment with a varied and interesting workload within a highly respected and established organisation.