Back
Strong employer brand, metro location, mid-level generalist data role, and common skillset increase applicant competition.
Actuarial, policyholder and audited financial services context makes skills less transferable across industries.
Explicit 6-10 years, audited financial services experience, and mandatory technical skills raise shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Operate and maintain data pipelines for validation, transformation, and enrichment of policyholder data used in actuarial modelling and assumption setting.
Investigate and resolve data issues proactively and in response to stakeholder queries, ensuring data accuracy and consistency.
Accountable for Model Points Data Production and Experience Analysis tasks, delivering high-quality outputs within agreed timelines and standards.
6-10 years of relevant Data Analytics experience, preferably in Financial Services or a closely related field.
Strong data analysis skills with experience in Excel (advanced formulas, pivot tables, Power Query), Power BI, Python, or equivalent tools.
Bachelor’s or Master’s Degree; Data Analyst certifications are a plus.
Experience working within data governance, validation practices, and heavily audited environments with operating controls and audit evidence production.
Proficient in managing and enhancing complex data pipelines including validation, transformation, enrichment, and BAU maintenance.
Experienced in stakeholder engagement across technical and non-technical audiences including internal teams and external auditors or consultants.
Ability to deliver detailed, accurate, and audit-compliant data outputs while supporting continuous process improvement in a regulated financial context.