At a Glance
- Tasks: Dive into advanced analytics and contribute to innovative projects in risk assessment and pricing.
- Company: Join a forward-thinking company committed to diversity and inclusion.
- Benefits: Enjoy 25 days of leave, private insurance, gym membership, and more!
- Other info: Collaborate with multidisciplinary teams and grow your technical expertise.
- Why this job: Make a real impact with cutting-edge data and analytics in a dynamic environment.
- Qualifications: Part-qualified actuarial student with 2-5 years in analytics or related fields.
The predicted salary is between 40000 - 50000 £ per year.
The Senior Actuarial Analyst, Strategic Analytics supports the delivery of advanced analytics initiatives across risk quantification, underwriting research, and pricing insight. The role focuses on applying actuarial and data‑driven techniques to emerging datasets—particularly UnderwriteMe and associated medical and wellness data—to enhance underwriting, pricing, and client insight across Protection and Savings & Retirement. The role operates as a strong individual contributor, working under guidance from senior actuaries and analytics leadership, with exposure to innovative analytical work and client‑relevant projects.
Key Responsibilities
- Research & Analytics Initiatives: Contribute to analytics projects that utilise novel datasets (e.g. UnderwriteMe, medical and wellness data) to support underwriting insight and risk assessment. Build, test, and maintain actuarial and predictive models under direction from senior team members. Support research initiatives exploring new data sources and analytical techniques relevant to Protection and Savings & Retirement.
- Strategic Analytics Integration: Assist in embedding analytics outputs into actuarial, underwriting, and pricing processes. Translate analytical outputs into clear insights and summaries for internal stakeholders. Support the preparation of materials for internal and client‑facing presentations.
- Data & Technology: Use and contribute to the Data Analytics Platform (DAP) for analysis and model development. Work with structured and semi‑structured datasets, supporting data quality checks and analysis readiness. Develop reproducible analysis using tools such as Python, SQL and/or R.
- Stakeholder Engagement: Partner with internal teams (Pricing, Underwriting, and Client Solutions) and external clients on projects and innovative data utilisation. Support senior team members in delivering client‑facing work and responding to analytical requests. Build effective working relationships across Strategic Analytics and adjacent teams.
- Governance & Reporting: Adhere to internal governance, risk, and model controls frameworks. Maintain clear documentation of analysis, assumptions, and methodologies. Support reporting and review processes as required.
Qualifications & Experience
- Actuarial Credentials: Part‑qualified actuarial student (progressing towards FIA or equivalent).
- Experience: Typically 2–5 years’ experience in actuarial, analytics, or related roles. Experience in pricing, underwriting, analytics, or R&D environments preferred. Exposure to predictive modelling or advanced analytics.
- Technical Skills: Expertise in statistical modelling, predictive analytics, and data science tools (Python, SQL, R – AWS a bonus). Familiarity with insurance risk modelling and underwriting processes (ideal).
- Soft Skills: Strong communication skills, with the ability to explain complex analytical concepts to non‑technical audiences. Comfortable operating as an individual contributor, influencing through expertise rather than authority. Willingness to learn, adapt, and develop technical expertise. Comfortable working as part of a multidisciplinary team.
Benefits (Only for Permanent and Fixed Term Employees)
- 25 days of annual leave with option to buy/sell more days
- Adoption and fertility leave
- Generous enhanced parental leave
- Comprehensive private insurance coverage for employee and dependents
- Group Life Insurance coverage of 9x basic annual salary and Group Income Protection up to 75% of basic annual salary
- Optical benefits
- 15% combined employee/employer contributions to Savings & Retirement
- Subsidised gym membership
- Access to Employee Assistance Program
- Cycle to Work and Electric Car Salary Sacrifice Scheme
- Time off for volunteering
- Charitable matching of employee donations
Commitment to Diversity and Inclusion
We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. As part of our commitment to diversity and inclusion, we will provide reasonable adjustments during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs so that we can discuss these with you to make sure that suitable adjustments are made, where possible.
Senior Actuarial Analyst, Strategic Analytics employer: Pacific Life Re
As a Senior Actuarial Analyst in Strategic Analytics, you will join a forward-thinking company that prioritises innovation and employee development. With a strong commitment to diversity and inclusion, the company offers a supportive work culture, comprehensive benefits including generous parental leave and wellness programmes, and ample opportunities for professional growth through exposure to cutting-edge analytics projects. Located in a vibrant area, this role not only allows you to contribute to meaningful client insights but also fosters a collaborative environment where your expertise is valued.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Actuarial Analyst, Strategic Analytics
✨Tip Number 1
Network like a pro! Reach out to current employees or alumni in the actuarial field. A friendly chat can give you insider info about the company culture and maybe even a referral.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and predictive modelling. Show us how you can apply these skills to real-world scenarios!
✨Tip Number 3
Don’t just focus on your qualifications; highlight your soft skills too! We want to see how you communicate complex ideas clearly and work well in a team. Share examples of how you've influenced others through your expertise.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in joining our team. Don’t miss out on this opportunity!
We think you need these skills to ace Senior Actuarial Analyst, Strategic Analytics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Actuarial Analyst role. Highlight your experience with predictive modelling and any relevant projects you've worked on, especially those involving novel datasets.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about actuarial analytics. Share specific examples of how you've contributed to analytics projects in the past and how you can bring that expertise to our team.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in tools like Python, SQL, and R. We love seeing candidates who can demonstrate their technical abilities, so include any relevant projects or analyses you've completed using these tools.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Pacific Life Re
✨Know Your Numbers
Brush up on your actuarial knowledge and be ready to discuss specific models you've worked on. Familiarise yourself with the latest trends in predictive analytics and how they apply to underwriting and pricing. This will show that you're not just a numbers person, but someone who understands the bigger picture.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in tools like Python, SQL, and R. You might be asked to solve a problem or explain how you would approach a data analysis task. Bring examples of your past work or projects that highlight your technical expertise and how you've used these tools to drive insights.
✨Communicate Clearly
Since you'll need to explain complex concepts to non-technical stakeholders, practice articulating your thoughts clearly and concisely. Use simple language to describe your analytical processes and findings. This will help you connect with the interviewers and show that you can bridge the gap between data and decision-making.
✨Engage with Stakeholders
Think about how you can build relationships with internal teams and clients. Prepare examples of how you've collaborated on projects in the past and how you’ve handled feedback. Showing that you can work well with others and understand their needs will set you apart as a candidate who can thrive in a multidisciplinary environment.
