Strategic Pensions Data Services Consultant

Lane Clark & Peacock; Greater London; On-site; GBP 52,000 - 68,000; Full time

Benefits offered by this job

Discretionary bonus scheme

Life assurance

Income protection

Private medical insurance

Cycle to work scheme

Annual leave benefits

Job summary

Lane Clark & Peacock is seeking a Pensions Administration Data Services Consultant to join our London team. You will work on data preparation for buy-in/buy-out transactions, GMP reconciliation, and dashboards for regulatory initiatives, ensuring data accuracy and completeness.

You will collaborate with internal teams and clients, mentor junior members, and contribute to process improvement while delivering high-quality, client-focused data solutions.

Qualifications

• Experience with DB pension schemes and administration.
• Strong data management and transformation skills.
• Proven ability to manage multiple priorities and meet deadlines.
• Proficiency in Excel and PowerPoint.

Responsibilities

• Supporting schemes in preparing data for buy-in/buy-out transactions
• Assisting with GMP reconciliation/rectification and equalisation exercises
• Preparing schemes for the Pensions Dashboard and other regulatory initiatives
• Conducting benefit audits and data cleansing to ensure data accuracy and completeness
• Supporting new business transitions and onboarding processes
• Collaborating with internal administration teams and external clients to deliver tailored data solutions

Skills

DB pension schemes

DB pensions administration

Data management

Multitasking

Data transformation

Budget management

APMI qualification

Collaboration

Quality focus

Problem solving

Mentoring

Tools

Excel

PowerPoint

Job description

Lane Clark & Peacock is seeking a Pensions Administration Data Services Consultant to join our London team. You will work on data preparation for buy-in/buy-out transactions, GMP reconciliation, and dashboards for regulatory initiatives, ensuring data accuracy and completeness.

You will collaborate with internal teams and clients, mentor junior members, and contribute to process improvement while delivering high-quality, client-focused data solutions.