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Emmanuel E Anikwe

Emmanuel E Anikwe

Dc & DB Pension professional

Talent
WiganMember since May 6, 2026
Pension Data AnalysisCross-functional collaborationData validation
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Pension Data AnalysisCross-functional collaborationData validation

About

Pensions professional with over 11 years of experience spanning Defined Benefit (DB) and Defined Contribution (DC) schemes across administration, regulation, governance, regulatory compliance, data transformation, operational change and client-facing service delivery. Proven ability to bridge business, technology, and regulatory requirements to deliver efficient, compliant, and member-focused pension solutions. Currently a Senior Pension Project Administrator at MUFG Pension & Market Services, recognised as a top-three performer within three months for productivity, accuracy, and service delivery.

Extensive experience handling complex pension cases including retirement, death, transfer, and drawdown calculations, alongside scheme event administration and member query resolution in line with regulatory and SLA requirements. Previously worked within a national pension regulatory environment, leading compliance reviews, governance oversight, audits, stakeholder engagement, and data validation initiatives across pension schemes with assets exceeding £12.3billion. Key achievements include supporting the recovery of over £77 million in unremitted pension contributions through enforcement audits, reducing processing times by 32% through automation and process improvement, and contributing to the successful onboarding of 50,000+ members through a digital enrolment platform.

Skilled in pension operations, regulatory compliance, pension calculations, process optimisation, reporting, stakeholder management, and cross-functional collaboration. Holds PMI Certificate in Pensions Calculations (Retirement & Death) with advanced analytical, Excel, and data validation capabilities. Currently pursuing an MSc in Computer Science with Artificial Intelligence alongside professional further PMI qualifications, combining deep pensions expertise with growing capability in AI, automation, and data-driven solution design.

Experience

Senior Pension Project Administrator at MUFG Pension & Market Services (2025-06 – Present)

  • Deliver complex DB pension calculations across multiple schemes, supporting high-value administration and project delivery.
  • Interpret scheme rules and regulatory guidance to calculate and validate retirement, death, transfer, and drawdown benefits.
  • Developed semi-automated calculation and validation tools in Excel using iterative, Agile-style approaches, reducing manual error and improving efficiency.
  • Support scheme lifecycle activities including bulk calculations, scheme events, and data transformation exercises
  • Contribute to system change initiatives through structured UAT, reconciliation, and implementation support, including migration to a new platform.
  • Led system onboarding for colleagues, enabling smooth adoption and embedding new processes into BAU operations.
  • Collaborate with stakeholders, SMEs, and operational teams to improve system configuration, data quality, and process efficiency.
  • Maintain full GDPR and regulatory compliance across all work streams.
  • Deliver work across multiple concurrent priorities, maintaining SLA compliance and quality
  • Review and resolve complex member queries in line with scheme rules and guidance documentation

Volunteer Adviser at The Pensions Ombudsman (TPO) (2025-04 – Present)

  • Support early dispute resolution through structured analysis of pension cases and documentation.
  • Apply pension legislation and scheme rules to assess cases and recommend appropriate outcomes.
  • Translate complex pension concepts into plain language for members and complainants.
  • Escalate and manage complex issues appropriately within structured governance frameworks.

Senior Pension Administrator & Regulator at National Pension Commission (2015-03 – 2025-06)

  • Led regulatory oversight of DB and DC scheme administration across multiple operators, ensuring compliance with pension legislation and governance standards.
  • Delivered digital transformation and process improvement initiatives that improved operational efficiency by 32% through automation and redesigned workflows.
  • Managed pension data analysis across schemes exceeding £10.2 billion in assets.
  • Coordinated the recovery of over £77 million in unremitted contributions through structured audit, data investigation, and reconciliation.
  • Led the launch of a digital enrolment platform, onboarding over 50,000 members, increasing registrations by 30% and reducing data errors by approximately 24%.
  • Managed stakeholder engagement and complex dispute resolution across DB and DC pension schemes, improving member satisfaction by about 35%.
  • Developed risk assessment models to strengthen data integrity and reduce processing errors.
  • Delivered training, process documentation, and frameworks to improve consistency and operational performance across teams.
  • Performed complex benefits calculations across DB and DC schemes, including drawdowns, transfers, and death benefits.

Education

MSc in Computer Science (Artificial Intelligence) – University of Wolverhampton, UK

MBA in Finance & Investment – Ahmadu Bello University, Nigeria (2020)

B.Eng. in Environmental Engineering – University of Port Harcourt, Nigeria (2010)

Skills

Dc & DB Pension professional

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