At a Glance
- Tasks: Join our team to analyse data and support pension scheme onboarding.
- Company: Pension Insurance Corporation, dedicated to secure retirement incomes.
- Benefits: Competitive salary, private medical insurance, 28 days leave, and a generous pension scheme.
- Why this job: Make a real impact on people's futures while developing your analytical skills.
- Qualifications: Strong academic background in Maths, Stats, or Actuarial Science preferred.
- Other info: Diverse and inclusive workplace with great career development opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Pension Insurance Corporation ("PIC") provides secure retirement incomes through comprehensive risk management and excellence in asset and liability management, as well as exceptional customer service. Our purpose is to pay the pensions of our current and future policyholders. We achieve our purpose by setting Companywide strategic objectives and driving a healthy culture based on our PIC Values of Resilient, Adaptable, and Loyal.
This role sits within the Policy Data Management (PDM) Team, whose responsibility forms part of the end-to-end transition of new business into PIC's operating model. The PDM team works closely with many stakeholders (namely third-party administrators, Originations, Transitions, Pension Services and Reinsurance Operations, Finance Actuarial and Finance Accounts) to identify and validate all necessary data to support its operations and all downstream systems and processes.
The role requires the ability to:
- Effectively collaborate with all stakeholders to secure their buy-in and implement improvements to systems, processes, and technology, as appropriate.
- Apply knowledge and insights concerning the onboarding of new pension schemes and reinsurance treaties to the Policy Data Management (PDM) system and how this impacts our policyholders.
- Deliver strong business outcomes relating to capital, profitability, the Company brand and market reputation whilst achieving positive outcomes to our policyholders and internal customers on a consistent basis.
Our Company values are expected to be reflected in the delivery and performance of every role.
Responsibilities
- Performing scheme and treaty onboarding through analysis of scheme benefit structures, data reconciliation, system preparation and calculation analysis.
- Assisting with quarterly data updates by preparing data and analysing results of calculations.
- Raising and chasing data issues with third-party administrators, Pension Services, Reinsurance Ops and Transitions in relation to the above 2 workstreams.
- Raising and chasing file delivery issues with third-party administrators.
- Processing new scheme and reinsurance business through setting up scheme and treaty details in the PDM system and providing outputs to the New Business Modelling team.
- Responding to queries raised by experience actuaries, often involving in-depth analysis of the underlying data within the PDM system.
- Drafting, reviewing and maintaining procedure guides for the various PDM Team processes.
- Identifying issues with the Policy Reference Numbers in intercepted movements and resolving as appropriate.
- Reviewing Policy Reference Numbers and policy statuses for new treaties being loaded to the LISA reinsurance administration system.
Requirements
Knowledge
- Good knowledge of Defined Benefit Pension Schemes preferred.
- Basic knowledge of data analysis techniques used for data migration and data reconciliation.
- Knowledge of pension buy-ins and buy-outs.
- Advanced knowledge of MS Excel and MS Word a necessity.
- Good working knowledge of Power BI, SQL, VBA and RAFM an advantage.
Skills
- Strong organisational skills.
- Strong communication skills.
- Effective collaboration with key stakeholders.
- Ability to persuade and influence both directly and indirectly.
- Ability to manage own time and workload effectively.
- Ability to organize work to meet deadlines.
- Ability to work within defined procedures as recommended by functional teams.
Experience
- Strong academic record in Mathematics, Statistics, Economics or Actuarial Science or related field, or working toward an APMI qualification.
- Intermediate DB Pension experience.
- Experience of complex data analysis work.
- Experience working in a corporate or consulting environment.
DE&I at PIC
At PIC, we believe that true innovation stems from embracing diverse perspectives, backgrounds and experiences. We are committed to building a workplace where every individual, regardless of race, gender identity, sexual orientation, disability, age, religion, or socio-economic background, feels valued, heard and empowered to succeed. We hold ourselves accountable through ongoing initiatives, such as inclusive hiring practices, and equitable career development opportunities that support belonging and community. While we're proud of our progress, we recognise there's work ahead, and we remain dedicated to listening, learning and evolving together.
Benefits
In addition to a competitive base salary and the opportunity to participate in our annual, performance-related bonus plan, upon joining us here at Pension Insurance Corporation, you will get access to some great benefits, including private medical insurance, 28 days' annual leave (excluding bank holidays), a generous pension scheme and much more.
Actuarial Data Analyst employer: Pension Insurance Corporation plc
Contact Detail:
Pension Insurance Corporation plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Actuarial Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at PIC or in the actuarial field on LinkedIn. Ask them about their experiences and any tips they might have for landing a role. Personal connections can make all the difference!
✨Tip Number 2
Prepare for interviews by practising common actuarial questions and scenarios. Think about how your skills in data analysis and stakeholder collaboration can shine through. We want to see you demonstrate your knowledge and adaptability!
✨Tip Number 3
Showcase your passion for the industry! During interviews, share your insights on pension schemes and how they impact policyholders. This will highlight your understanding of the role and your commitment to PIC's values.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of our team at Pension Insurance Corporation.
We think you need these skills to ace Actuarial Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Actuarial Data Analyst role. Highlight relevant experience, especially in data analysis and pension schemes, to show us you’re a great fit for the team.
Craft a Compelling Cover Letter: Your cover letter should tell us why you want to work at PIC and how your skills align with our values of being Resilient, Adaptable, and Loyal. Be genuine and let your personality shine through!
Showcase Your Skills: Don’t forget to mention your technical skills, especially in MS Excel, Power BI, and SQL. We love seeing candidates who can effectively use these tools to drive business outcomes.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Pension Insurance Corporation plc
✨Know Your Numbers
Brush up on your knowledge of Defined Benefit Pension Schemes and data analysis techniques. Be ready to discuss how you would approach onboarding new pension schemes and reinsurance treaties, as this will show your understanding of the role's requirements.
✨Stakeholder Savvy
Prepare examples of how you've effectively collaborated with stakeholders in the past. Think about times when you secured buy-in for a project or implemented improvements. This will demonstrate your ability to work well within the PDM team and across various departments.
✨Excel-lent Skills
Since advanced knowledge of MS Excel is a must, be prepared to showcase your skills. You might be asked to solve a problem or analyse data on the spot, so practice using Excel functions and tools that are relevant to data reconciliation and analysis.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex data concepts in simple terms, as you may need to respond to queries from experience actuaries. Clear communication will help you stand out as a candidate who can bridge gaps between technical and non-technical stakeholders.