1st Line of defence Financial Crime Data and Analytics Manager

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.

1st Line of defence Financial Crime Data and Analytics Manager is an experienced role with day-to-day responsibility for requesting data,  monitoring  and enhancing Key Risk Indicators and Management information (MI)

Financial crime responsibilities:

• Design, produce and maintain 1LOD Financial Crime Management Information (MI) processes, data flows and procedural documentation.
•  Develop, test and enhance MI dashboards and reporting tools, incorporating automated data pipelines and coding solutions (e.g., Python, SQL) and leveraging AI/ML techniques where beneficial.
•  Analyse, maintain and propose enhancements to Financial Crime Key Risk Indicators (KRIs) and MI to ensure performance remains within defined Risk Appetite Statement (RAS) tolerances.
• Ensure all MI and analytical improvements follow approved governance frameworks, satisfying quality, sign‑off and audit requirements.
• Continuously monitor financial crime KRIs, escalating and reporting threshold breaches with clear commentary and analytical insight.
• Identify and document data quality issues, inaccuracies, control gaps and process weaknesses, raising self‑identified issues in full alignment with the Operational Risk Handbook.
• Partner with Business Units and 2LOD Financial Crime teams to conduct root‑cause analysis, using data and analytical tooling to propose sustainable, technology‑enabled remediation actions. Collaborate with Data Engineering and Architecture teams to maintain and optimise data infrastructure used for Financial Crime MI, ensuring it remains robust, scalable and fit‑for‑purpose.
• Perform data integrity, completeness and quality testing to ensure reliability of all financial crime MI outputs.
• Develop and maintain the strategic roadmap for Financial Crime data, analytics and MI capabilities, ensuring alignment to regulatory requirements, business priorities, risk appetite and the broader Financial Crime target operating model.
• Lead the identification, prioritisation and delivery of Financial Crime data and reporting enhancements, translating business requirements into scalable data and analytics solutions.
• Drive continuous improvement of Financial Crime data assets, including the development of new metrics, KRIs, management information, dashboards and analytical capabilities to support proactive risk management and decision-making.
• Provide strategic insight and thought leadership on emerging data, analytics and technology opportunities, including automation, artificial intelligence and advanced analytics, to enhance Financial Crime risk management effectiveness.

Additional  responsibilities:

• Present Financial Crime MI, KRIs and risk‑tolerance performance at relevant governance forums, providing narrative commentary and analytical insights to support decision‑making.
• Define and maintain Financial Crime data requirements, standards and governance controls, ensuring key data used for monitoring and reporting remains accurate, complete, traceable and fit for purpose.
• Deliver training and knowledge‑sharing sessions to build capability in interpreting dashboards, understanding MI outputs and using analytical tools.
• Build strong collaborative relationships across Group Risk, Compliance, local 2LOD Financial Crime teams and wider stakeholders to drive a strong risk management culture.
• Undertake additional tasks and activities aligned to team objectives and emerging business priorities.
• Act as the business lead for Financial Crime data initiatives and technology change, working with Data, Technology and Change teams to influence prioritisation, secure delivery and embed sustainable long-term solution
• Own and oversee delivery of the Financial Crime MI and analytics development backlog, ensuring strategic initiatives, regulatory commitments and business priorities are delivered within agreed timescales.
• Contribute to the development of the Financial Crime operating model by identifying opportunities to improve data availability, reporting efficiency, automation and control effectiveness.

Required Skills & Experience

• Proven experience working in Financial Crime risk, ideally within the Asset Management industry, with strong understanding of key FCC risks (AML, CTF, sanctions, fraud, market abuse, bribery & corruption).
• Demonstrated ability to think strategically and translate complex Financial Crime, regulatory and business requirements into data, reporting and analytics solutions.
• Strong stakeholder management skills, with experience influencing senior leaders across first line, second line, technology and change functions.
• Experience developing data strategies, data dictionaries, data lineage and governance frameworks within a regulated environment.
• Strong data extraction, manipulation and analytical skills, with hands‑on experience using SQL, Python or similar tools to work with large datasets.
• Strong data visualisation capabilities, able to design and build effective dashboards using Power BI, Tableau or equivalent BI platforms.
• Excellent written and verbal communication skills, with the ability to translate complex data insights into clear narratives for diverse stakeholders.
• Familiarity with cloud technologies and big‑data environments (e.g., AWS, Azure) used for financial crime analytics.

Desirable Skills

• Experience applying automation, statistical modelling, machine learning or predictive analytics to financial crime datasets.
• Relevant Data Science or Analytics certifications (e.g. Google Data Analytics, AWS Data Analytics, Microsoft Data Analytics).
• Has data extraction and manipulation skills and can work with large datasets using SQL, Python or similar tools.
• Had data visualisation skills and can present insights effectively and proficient in PowerBI, Tableau or similar tools.

What we offer:

We’re dedicated to supporting your wellbeing and helping you thrive, both at work and beyond. Our benefits are designed to help you balance your professional and personal life, and financially plan for the future. Our UK benefits include:

• A valuable pension scheme of up to 18% (13% made up of employer contributions and 5% employee contributions).
• Access to our Share Save and Share Incentive Plan, alongside financial wellbeing and support services to help give you real confidence to put your money to work.
• Enjoy 38 days annual leave (including bank holidays), with the opportunity to purchase up to five extra days. Our Time Off When You Need It policy gives you the flexibility - to balance work and personal commitments.
• Our market-leading Inspiring Families policy includes comprehensive support and paid parental leave covering maternity, adoption, surrogacy, and paternity leave - because supporting families is an important part of our inclusive culture.
• Health & Protection cover includes Private Healthcare, Critical Illness cover and Life Assurance for you, with additional family options - for peace of mind.

To explore more about life at M&G and our full benefits offering, visit Life at M&G

At M&G we strive to have a diverse workforce and an inclusive culture, underpinned by our policies and employee-led networks that offer networking, support and development opportunities for the diverse communities our colleagues represent. We welcome applications from people of all backgrounds – across gender, ethnicity, age, disability, sexual orientation and more – including neurodivergent individuals, career returners and those with military service experience.

M&G is proud to be Level 3: Disability Confident Leader under the UK Government Disability Confident employer scheme, and we welcome applications from candidates with disabilities and long-term health conditions. If you would like to participate in the initiative, you will have the opportunity to indicate this on your application.

We are committed to providing an inclusive recruitment process. All candidates have the opportunity to request reasonable adjustments when applying. If you need any additional support at any stage, please contact us at: careers@mandg.com