1st Line of Defence Financial Crime Data and Analytics Manager (Financial Crime)

Location: London, United Kingdom; other location: Mumbai, India

Company

M&G provides asset management and insurance-based savings and investment solutions, with a heritage of more than 175 years.

What you will do

• Design, maintain, and enhance first-line Financial Crime management information processes, data flows, dashboards, reporting tools, and procedural documentation.
• Develop automated data pipelines and coding solutions using SQL, Python, and AI/ML techniques where beneficial.
• Monitor Financial Crime KRIs and risk-appetite tolerances, investigate threshold breaches, and provide analytical commentary at governance forums.
• Identify data quality issues, control gaps, process weaknesses, and root causes, then propose sustainable technology-enabled remediation.
• Lead the Financial Crime data, analytics, and MI roadmap, backlog, data requirements, governance controls, and reporting enhancements.
• Collaborate with Business Units, second-line Financial Crime, Data Engineering, Architecture, Technology, and Change teams; deliver training and knowledge-sharing sessions.

Requirements

• Proven experience in Financial Crime risk, ideally within asset management, with strong knowledge of AML, CTF, sanctions, fraud, market abuse, and bribery and corruption risks.
• Ability to translate complex Financial Crime, regulatory, and business requirements into data, reporting, and analytics solutions.
• Strong stakeholder management skills, including influencing senior leaders across first-line, second-line, technology, and change functions.
• Experience developing data strategies, data dictionaries, data lineage, and governance frameworks in a regulated environment.
• Strong data extraction, manipulation, and analytical skills using SQL, Python, or similar tools with large datasets.
• Strong data visualisation skills and experience building dashboards with Power BI, Tableau, or equivalent BI platforms.
• Excellent written and verbal communication skills, with the ability to explain complex data insights through clear narratives.
• Familiarity with cloud technologies and big-data environments such as AWS or Azure used for Financial Crime analytics.

Nice to have

• Experience applying automation, statistical modelling, machine learning, or predictive analytics to Financial Crime datasets.
• Relevant Data Science or Analytics certifications, such as Google Data Analytics, AWS Data Analytics, or Microsoft Data Analytics.
• Additional experience extracting and manipulating large datasets with SQL, Python, or similar tools and presenting insights through Power BI, Tableau, or equivalent platforms.

Culture & Benefits

• Flexible working arrangements and workplace adjustments are available.
• Pension scheme of up to 18%, including up to 13% employer contributions and 5% employee contributions.
• Share Save and Share Incentive Plan, financial wellbeing support, private healthcare, critical illness cover, and life assurance.
• 38 days of annual leave including bank holidays, with the option to purchase up to five additional days.
• Flexible Time Off When You Need It policy and paid parental leave covering maternity, adoption, surrogacy, and paternity leave.
• Inclusive culture with employee-led networks, development opportunities, and reasonable adjustments available throughout the recruitment process.