Group Financial Crime Compliance Data Manager (12 month FTC)

Location: City of Edinburgh

## Group Financial Crime Compliance Data Manager (12 month FTC)
Apply locations:
Stirling:
Edinburgh time type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
August 24, 2026 (20 days left to apply) job requisition :
R20068

At M&G, 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 will consider flexible working arrangements for any of our roles and offer workplace adjustments to ensure you have the support you need to succeed in your role.

This is an excellent opportunity for a financial crime, risk or data analytics professional to play a central role in strengthening the Group’s financial crime risk management framework through data-driven oversight and reporting. The role sits within the 2

LoD Global Financial Crime Compliance PRAGMA team (Policy, Reporting, Analytics, Governance, Methodologies and Awareness), providing exposure to senior stakeholders across Risk, Compliance, Business Units and Technology. The successful candidate will take ownership of the Group financial crime Key Risk Indicator (KRI) framework, helping to define, monitor and report key financial crime risk metrics that support risk appetite monitoring, governance and decision-making across the organisation.

The role offers significant breadth and visibility across all major financial crime risk disciplines, including AML, sanctions, fraud, anti-bribery and corruption, and customer due diligence. Beyond KRI oversight, the position provides the opportunity to shape the quality, integrity and effectiveness of financial crime management information, working closely with Business Units and technology teams to enhance data governance, strengthen controls and implement automated reporting solutions.

It is ideally suited to an individual who enjoys combining financial crime expertise with data analytics, technology-enabled transformation and stakeholder engagement, while driving continuous improvement across a complex global organisation. This highly collaborative role offers the opportunity to make a tangible impact on the effectiveness of financial crime risk management, reporting and compliance culture across the Group.##

Key Responsibilities
• Produce and maintain the M&G Group framework for financial crime Key Risk Indicators (“KRIs”) and risk tolerances.  
• Define financial crime KRIs to enable risk appetite statement monitoring tolerances.  
• Monitor financial crime KRIs and execute reporting of financial crime KRI tolerances.  
• Respond to financial crime data related queries raised by Business Unit 1

LoD and 2

LoD teams, including those relating to data inaccuracies, issues, control gaps, or other data-related queries.  
• Raise data inaccuracies, issues, control gaps identified with Business Unit 1

LoD, 2

LoD financial crime teams and work with them to resolve the noted issues.  
• Coordinate with CITO to maintain the data infrastructure to host and process Group financial crime Management Information and ensure fit for purpose.  
• Coordinate with CITO to develop, test, document and implement automated solutions to enhance existing financial crime processes and controls..  
• Perform investigations related data and analytics activities, such as client data scanning, search queries and fraud analytics.  
• Conduct data quality/integrity tests to ensure accuracy of financial crime management information.  
• Communicate M&G Group framework for financial crime KRIS and risk tolerances and expectations associated with data quality and integrity effectively across the organisation.  
• Identify training requirements as a result of changes to financial crime key risk indicators or from…