Actuarial Data Analyst

Actuarial Data Analyst

Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse and manage data for pension schemes, ensuring smooth onboarding and system improvements.
  • Company: Join Pension Insurance Corporation, a leader in secure retirement income and risk management.
  • Benefits: Enjoy 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 in a supportive environment.
  • Qualifications: Strong academic background in Maths, Stats, or Actuarial Science; experience in data analysis preferred.
  • Other info: Diverse and inclusive workplace committed to innovation and personal growth.

The predicted salary is between 36000 - 60000 ÂŁ 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.

Role Purpose

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. 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.

Specific Accountabilities

  • 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.

Knowledge

  • Good knowledge of Defined Benefit Pension Schemes preferred.
  • Basic knowledge of data analysis techniques used for data migration and 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 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 organise 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: LGBT Great

Pension Insurance Corporation (PIC) is an exceptional employer that prioritises a healthy work culture rooted in our core values of Resilience, Adaptability, and Loyalty. As an Actuarial Data Analyst, you will benefit from a competitive salary, private medical insurance, and 28 days of annual leave, while also having the opportunity to grow your career in a supportive environment that embraces diversity and fosters collaboration across teams. Join us in making a meaningful impact on the lives of our policyholders as we work together to secure their retirement incomes.
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Contact Detail:

LGBT Great 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 Pension Insurance Corporation on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the Policy Data Management team.

✨Tip Number 2

Prepare for your interview by brushing up on your knowledge of Defined Benefit Pension Schemes. Be ready to discuss how your skills in data analysis can contribute to the onboarding process and improve systems at PIC.

✨Tip Number 3

Showcase your communication skills! During interviews, highlight examples where you've effectively collaborated with stakeholders or resolved data issues. This will demonstrate your ability to fit into the PDM team's culture.

✨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 the PIC family.

We think you need these skills to ace Actuarial Data Analyst

Data Analysis
Defined Benefit Pension Schemes Knowledge
Data Reconciliation
MS Excel
MS Word
Power BI
SQL
VBA
Communication Skills
Stakeholder Collaboration
Time Management
Problem-Solving Skills
Procedure Documentation
Mathematics
Statistics

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Actuarial Data Analyst role. Highlight your knowledge of Defined Benefit Pension Schemes and any relevant data analysis techniques you've used.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about working at PIC. Mention how your values align with ours—Resilient, Adaptable, and Loyal—and how you can contribute to our mission of providing secure retirement incomes.

Showcase Your Technical Skills: Don’t forget to mention your proficiency in MS Excel, Power BI, SQL, and any other relevant tools. We love seeing candidates who can demonstrate their technical abilities and how they’ve applied them in previous roles.

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 shows your enthusiasm for joining our team!

How to prepare for a job interview at LGBT Great

✨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 scheme onboarding and data reconciliation, as these are key aspects of the role.

✨Stakeholder Savvy

Prepare examples of how you've effectively collaborated with stakeholders in the past. Think about times when you had to persuade or influence others, as this will show your ability to work within the PDM team and beyond.

✨Excel-lent Skills

Since advanced knowledge of MS Excel is a must, be prepared to demonstrate your skills. You might be asked to solve a problem or analyse data on the spot, so practice using Excel functions and tools relevant to data analysis.

✨Cultural Fit Matters

Familiarise yourself with PIC's values: Resilient, Adaptable, and Loyal. Think of examples from your experience that reflect these values, as demonstrating alignment with the company culture can set you apart from other candidates.

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