Data Specialist FTC

Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions. Our two distinct operating segments – Asset Management and Life – work together to provide access to balanced, long‑term investment and savings solutions.

Through telling it like it is, owning it now, and moving it forward together with care and integrity, we are creating an exceptional place to work for exceptional talent. We consider flexible working arrangements for any of our roles and also offer workplace accommodations to ensure you have what you need to deliver effectively in your role.

A key role within the Propositions team of the Individual Life & Pensions Business Unit is to maintain, extract and analyse propositional data to support the analysis of customer outcomes. Under the FCA’s Consumer Duty requirements, there is an enduring need to develop new data and metrics to better understand our customers, provide evidence of good customer outcomes and identify areas for potential improvements.

In particular, the approach to assessing Value for Money in Workplace Pensions is expected to evolve following further regulatory guidance this year. The role holder will translate regulatory expectations into actionable data requirements, review existing reporting capabilities and shape the development of enhanced Value for Money metrics to support effective oversight and decision‑making. The role holder will also provide data to enable the Independent Governance Committee, and Pension Trustees and Managers, to give regular oversight and reporting of customers in workplace pension schemes.

Additional responsibilities include providing data input for regulatory reporting such as product reviews and annual value assessments, as well as any new propositional regulatory requests. We are seeking a high‑performing data specialist, experienced with large and varied datasets, to support our conduct and oversight reporting for Propositions and to play a key role in supporting existing customers by providing data that evidences good outcomes and demonstrates compliance with regulatory expectations.

The role is part of the Conduct & Enablement Team, responsible for ensuring that our existing Propositions operate within M&G Prudential’s Conduct Risk appetite. You will also support other key strategic projects.

• Assess existing data sources, controls and reporting capabilities to identify gaps and propose solutions required to meet future VFM reporting and disclosure requirements.
• Ensure Value for Money data is accurate, appropriately governed and clearly presented to support regulatory scrutiny, internal challenge and audit requirements.
• Provide accurate, timely and insightful reporting to support governance bodies, regulatory compliance and oversight of customer and workplace pension outcomes, including:
  • Regular reporting to the Independent Governance Committee (IGC)
  • Relevant regulatory requests from the FCA, DWP, HMRC and others
  • Project scoping for regulatory and strategic projects
  • Regular reporting for conduct risk – e.g. Complaints MI
  • Supporting internal and external benchmarking and comparator analysis, particularly for Value for Money and workplace pension assessments
  • Proposition/Product thematic reviews
  • Annual Value Assessments
  • Customer Outcome reporting for the Customer Committee
  • Breach and Risk analysis
  • Workplace Pensions BAU Reports such as the Retention Log, Fund Benchmarking, Funds and Charges and Quarterly Complaints MI
• Ensure appropriate data quality checks, controls and documentation are applied to reporting outputs to support regulatory assurance and governance.
• Highlight key data findings and emerging trends clearly and succinctly.
• Provide clear and concise written and oral briefings to managers and other stakeholders.

• Ability to use Qlik View and Excel to maintain, manipulate and engineer data to support…