Jobs at M&G

Designs and optimizes scalable data pipelines and data solutions supporting actuarial modeling and assumption setting. Ensures data quality, governance, validation, monitoring, and audit controls across complex financial-services datasets. Translates business requirements into technical solutions, integrates data sources, applies machine learning and advanced analytics, and improves platform performance. Provides technical guidance, reviews code and analysis, coaches junior colleagues, and contributes to data engineering standards and continuous process improvement.

The job description provides limited role-specific detail. The Senior Manager will likely oversee statutory reporting activities within M&G’s financial services operations, supporting accurate regulatory and financial reporting while contributing to transformation, automation, process excellence, and collaboration across global teams.

Leads end-to-end assessment and implementation of new markets, exchanges, and investment instruments. Coordinates investment, operations, risk, compliance, technology, legal, and external providers to evaluate feasibility, design operating models, manage risks, secure approvals, implement changes, and confirm operational readiness. The role also develops procedures, maintains implementation records, provides governance reporting, resolves dependencies, and improves the new markets and instruments process across the asset-management organization.

Owns first-line financial crime data, analytics, management information, dashboards, and key risk indicators. Develops automated reporting solutions using SQL, Python, BI tools, and potentially AI/ML; ensures data quality, governance, regulatory compliance, and audit readiness. Partners with risk, compliance, technology, and business teams to identify issues, deliver remediation, manage the analytics roadmap, and present insights to governance forums.

Supports project planning, tracking, monitoring, reporting, governance, RAID logs, dependencies, stakeholder communication, and quality assurance across programs. Maintains detailed project plans and status reports, assists Project Managers with risks and issues, organizes training, resolves ServiceNow-related concerns, and coordinates project closures and vendor interactions. Requires strong project lifecycle knowledge, communication, organization, Microsoft Office proficiency, and PRINCE2 certification.

Lead definition, monitoring and reporting of Group financial crime KRIs and tolerances. Drive data quality, investigations and MI for AML, sanctions, fraud and CDD. Partner with technology and business units to maintain data infrastructure, implement automated reporting, enhance controls and deliver dashboards and governance across the organisation.

Lead ownership of the Group Enterprise-Wide Risk Assessment (EWRA) and financial crime methodology. Challenge, aggregate and translate business unit risk assessments into Group-level insights. Maintain risk registers, jurisdiction heatmaps, watchlist/screening and exit frameworks. Engage senior stakeholders, present to Executive/Board committees, and drive continuous improvement across AML, sanctions, fraud, anti-bribery, KYC/CDD and third-party risk.

Supports the Group financial crime KRI framework through monitoring, data validation, risk reporting, data quality testing, and issue escalation. The role covers AML, sanctions, fraud, anti-bribery and corruption, and customer due diligence. Responsibilities include maintaining management information, collaborating with technology teams on automated solutions, enhancing dashboards, investigating data issues, and communicating risk tolerances and reporting requirements to stakeholders across first and second lines of defence.

Leads cloud SRE delivery, reliability, incident and problem management, SLO governance, automation, observability, and operational excellence. The role develops execution roadmaps, improves scalability and resilience, manages documentation and performance reporting, partners with engineering and business stakeholders, and mentors teams. It requires hands-on Azure expertise, cloud administration, infrastructure automation, CI/CD, governance, troubleshooting, cost optimization, disaster recovery, security, and regulatory compliance experience.

Lead end-to-end oversight of NAV production, fund accounting, and financial reporting for public markets funds. Ensure accuracy, timeliness, regulatory compliance, and strong controls across outsourced TPAs. Perform error and risk validation, support remediation and investigations, manage complex stakeholder queries, and drive process and governance improvements.

Oversee end-to-end NAV production, fund accounting and financial reporting for private markets funds. Ensure accuracy, timeliness and regulatory compliance, validate errors, manage TPAs, drive control improvements, and handle complex stakeholder queries.

Investigates complex cyber incidents across cloud, endpoint, identity, email, and network environments. Conducts intelligence-led threat hunting, develops and validates detections, assesses risk, coordinates containment and recovery, and improves security operations processes and tooling. Uses AI-assisted analysis while validating outputs and maintaining accountability. The role also documents investigations, supports audits, communicates risks to technical and non-technical stakeholders, and serves as an escalation point for complex alerts and incidents.

Own end-to-end accounting and reporting for an allocated product, including journals, reconciliations, disclosures, management information, and balance sheet substantiation. Translate product and actuarial changes into accounting requirements, controls, and processes. Design data reconciliations, resolve breaks, support testing and implementation, maintain documentation, and partner with business and technology teams to improve controls and reduce manual work.

Leads balance sheet and income statement reporting for M&G Insurance entities across Group and statutory bases. Oversees general ledger close, reconciliations, Tagetik disclosures, Solvency II reporting, product-level analysis, audit support, financial controls, issue resolution, team coaching, process standardization, and automation. The role coordinates with Finance, Actuarial, Operations, Reporting, Change, Technology, and external stakeholders to ensure accurate, timely, and compliant reporting.

Prepares and reviews longevity reporting, journals, reconciliations, settlement analyses, and balance sheet substantiation. Coordinates actuarial, reinsurance, treasury, operations, and ledger inputs; investigates exceptions; maintains controls, procedures, evidence, and data lineage; supports system and contractual changes; manages reporting dependencies; and provides subject matter guidance to colleagues and reviewers.

Build and operate secure, scalable AI and data platforms across multi-cloud environments. Develop production services, APIs, automation, AI agents, self-service capabilities, and observability. Improve platform resilience, reliability, governance, responsible AI controls, and operational efficiency while supporting teams in moving AI use cases into production. Deliver reporting on usage, cost, performance, adoption, and business value, and promote reusable engineering standards and knowledge sharing.

Own end-to-end accounting and reporting for annuity products, including journals, reconciliations, disclosures, management information, balance sheet substantiation, and analysis. Translate product and actuarial changes into accounting requirements, controls, and processes. Support implementation, testing, defect tracking, documentation, data lineage, governance, and post-launch stabilization while partnering with business and technology teams to improve sustainable processes and resolve data or control issues.

Lead NAV and fund financial reporting oversight for public asset funds, ensuring accuracy of TPA outputs, driving control governance, remediation of errors, stakeholder management, and continuous improvement across fund accounting, pricing, reporting, and costs & charges.

Manages data privacy projects, drafts and negotiates privacy clauses, assesses new data protection regulations, advises stakeholders, supports privacy policies and reporting, and assists the Data Protection Officer. The role also handles privacy programs, DPIAs, RoPAs, data subject requests, breaches, risk controls, regulatory implementation, and confidential investigations while driving privacy culture and operational improvements.

Lead and deliver data engineering projects on Azure: design, ingest, transform, and operationalize Lakehouse/data warehouse solutions using ADF and Databricks; migrate on-prem data warehouses to Azure; provide technical leadership to a team, ensure security controls, performance tuning, stakeholder management, and collaborate with offshore development teams.