Financial Data Analyst

My client, 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 reporting 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.