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- Tasks: Analyse and validate complex pension datasets while supporting scheme onboarding.
- Company: Leading financial services provider with a friendly team culture.
- Benefits: Generous salary, hybrid working, and excellent development prospects.
- Other info: Collaborative environment with opportunities for career growth.
- Why this job: Join a fast-growing team and make a real impact in pensions risk transfer.
- Qualifications: Experience in defined benefit pensions and strong analytical skills required.
The predicted salary is between 40000 - 50000 £ per year.
My client is a leading financial services provider and due to growth in their Pension De-Risking team they currently seek an experienced Pensions Data Analyst with Defined Benefit or Bulk Purchase experience to join their friendly team. This role sits at the heart of a fast‑growing pensions risk transfer environment, offering exposure to complex data analysis, scheme onboarding, and regulatory‑driven processes.
The Opportunity
You will support the successful onboarding and transition of defined benefit pension schemes into BPA arrangements, working closely with operational leadership and stakeholders. This is a highly technical role where you will analyse, reconcile, and validate complex pension datasets, ensuring accuracy and completeness prior to policyholder transfer.
Key Responsibilities
- Analyse defined benefit pension datasets to assess quality, accuracy, and completeness
- Perform data reconciliation and validation across multiple datasets, including cleansed and transitioned data
- Review benefit specifications and ensure alignment with data and administration requirements
- Develop and maintain calculation models and spreadsheets covering areas such as pensions increases, revaluation, and payroll
- Support benefit calculation processes and technical adjustments within data analysis and reconciliation activity
- Track and document data changes, movements, and audit trails across the scheme onboarding lifecycle
- Test and reconcile parallel payroll runs and benefit calculations to ensure accuracy
- Identify data issues and implement solutions to improve data quality and prevent recurring errors
- Support adherence to regulatory, compliance, and governance standards within financial services
- Work collaboratively with stakeholders across operations, pensions administration, and technical teams
The candidate
- Proven experience working with defined benefit pensions or BPA / pensions risk transfer environments
- Strong understanding of pension administration processes and benefit calculations
- Hands‑on experience performing data analysis, reconciliation, and validation within pensions datasets
- Advanced Excel skills, including complex data manipulation
- High attention to detail with strong analytical and problem‑solving capability
- Experience working within regulated, compliance‑driven environments
- Strong communication skills and stakeholder engagement ability
In return my client offer a generous remuneration package, varied and interesting workload, excellent prospects for development and hybrid working.
Pension Analyst (defined benefit) employer: Front Row Recruitment
Contact Detail:
Front Row Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pension Analyst (defined benefit)
✨Tip Number 1
Network like a pro! Reach out to your connections in the pensions industry and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by brushing up on your technical knowledge. Since this role involves complex data analysis, make sure you can confidently discuss your experience with defined benefit pensions and data reconciliation.
✨Tip Number 3
Showcase your analytical skills! Bring examples of how you've tackled data issues in the past and improved data quality. This will demonstrate your problem-solving capabilities to potential employers.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining our team. Plus, it gives you a better chance to stand out!
We think you need these skills to ace Pension Analyst (defined benefit)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with defined benefit pensions and data analysis. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or roles you've had!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for the position and our company.
Showcase Your Technical Skills: Since this role involves complex data analysis, make sure to highlight your advanced Excel skills and any experience with data reconciliation. We’re looking for someone who can dive into the details, so let us know what tools you’ve mastered!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your materials!
How to prepare for a job interview at Front Row Recruitment
✨Know Your Numbers
Brush up on your knowledge of defined benefit pensions and bulk purchase annuities. Be ready to discuss specific datasets you've worked with, as well as any challenges you faced in data reconciliation or validation. This shows you’re not just familiar with the concepts but have hands-on experience.
✨Excel is Your Best Friend
Since advanced Excel skills are crucial for this role, make sure you can demonstrate your proficiency. Prepare to talk about complex data manipulation tasks you've completed, and if possible, bring examples of calculation models or spreadsheets you've developed. This will highlight your technical capabilities.
✨Attention to Detail Matters
In a role that requires high accuracy, be prepared to discuss how you ensure data quality. Share specific examples of how you've identified and resolved data issues in the past. This will show your potential employer that you take pride in your work and understand the importance of precision.
✨Engage with Stakeholders
Communication is key in this role, so think about times when you've collaborated with different teams or stakeholders. Be ready to share how you’ve navigated complex discussions or ensured alignment between data and administration requirements. This will demonstrate your ability to work effectively in a team-oriented environment.