Role Summary
To support WBR’s data remediation programme by reviewing, validating, correcting and enriching data held across WBR’s core systems.
The role will involve working through defined populations of records, investigating discrepancies, sourcing missing information and ensuring corrected data meets agreed standards.
This would suit someone highly analytical and detail-focused who enjoys working with data and identifying and resolving problems.
Key Accountabilities
- Review datasets to identify incomplete, inconsistent or inaccurate information.
- Investigate individual data discrepancies and determine the appropriate correction.
- Cleanse and enrich records in accordance with agreed rules.
- Undertake structured remediation exercises across defined data populations.
- Support remediation of property and other key scheme information.
- Validate information against appropriate source data.
- Perform QA checks on completed remediation.
- Maintain accurate records of changes and remediation completed.
- Identify recurring data-quality issues and escalate them to the Head of Data Quality.
- Support bulk data cleansing and enrichment exercises.
- Produce basic MI showing volumes completed, outstanding issues and exceptions.
- Document recurring issues and remediation approaches.
- Work with Operations colleagues where additional information is required to resolve a record.
- Comply with the Health & Safety Guidelines as set out in the Health & Safety Management System document
- Demonstrate behaviours in line with our Company Values ‘PEER’
- Ensure compliance with our Company policies, procedures and guidelines
- The role may be subject to credit & DBS checks
Skills & Experience Required
Essential
- Excellent attention to detail.
- Strong numerical and analytical ability.
- Confident working with large volumes of information.
- Good Excel skills.
- Logical and methodical approach to problem solving.
- Ability to work independently within clearly defined processes.
- Comfortable investigating discrepancies rather than simply processing information.
- Good communication skills.
- Able to manage competing priorities and meet agreed targets.
Desirable
- Degree or equivalent experience in business, finance, economics, data or a related discipline.
- Experience using Excel for data analysis or reconciliation.
- Financial services or pensions experience.
- Experience with databases, Power BI or SQL.
Application deadline: 20/11/2026