Data Analyst (Life Actuarial)

Vitality; Greater London; Hybrid; GBP 45,000 - 65,000; Full time

Benefits offered by this job

Bonus schemes

Pension match up to 6%

Vitality health insurance

Life assurance 4x salary

Job summary

Vitality Life Actuarial is seeking a Data Analyst to support data-driven decisions by analysing actuarial experience, profitability drivers and capital needs. You will work with Actuarial, Data Science, BI and Data Engineering teams to build analytics and scalable data products that drive commercial value.

Key tasks include maintaining actuarial data assets, performing trend analysis on lapse, claims and retention, and developing models and processes for product launches and regulatory changes.

Qualifications

• Strong numeric and analytical skills with attention to detail.
• Experience with statistical modelling and data analysis.
• Proficiency in R, Python and SQL for analytics.

Responsibilities

• Support ownership and development of actuarial data assets and models.
• Analyse lapse, claims, retention and business mix to identify trends.
• Design, build and document data processes for product launches and changes.
• Maintain actuarial models and data workflows for accuracy and reliability.
• Develop scalable analytics using R, Python and SQL to improve efficiency.
• Collaborate across Actuarial, Data Science, BI and Data Engineering teams.

Skills

Analytical skills

Statistical modelling

Programming & Visualization

Education

Quantitative degree

Tools

R

Python

SQL

Job description

Team - Actuarial-Life

Team - Actuarial-Life

Working Pattern -

Hybrid - 2 days per week in the Vitality London Office. Full time, 37.5 hours per week.

We are happy to discuss flexible working!

Top 3 skills needed for this role:

• Highly developed analytical and problem-solving capability with good attention to detail.
• Proven Statistical Modelling Capability
• Advanced Programming & Visualisation Skills

What this role is all about:

As a Data Analyst within the VitalityLife Actuarial team, this role plays a key part in supporting data-driven choices made through the analysis of actuarial experience, profitability drivers, trends and capital requirements. Working alongside Actuarial, Data Science, Business Intelligence and Data Engineering teams, the position focuses on developing and enhancing analytical models, data processes and insights that help deliver scalable solutions and drive commercial value across the business.

Key Actions

• Support the ownership, maintenance and continuous development of actuarial data assets, including feature engineering processes and experience analysis models used across the Life business
• Analyse lapse, claims, retention and business mix experience to identify trends, monitor performance and provide insights that support strategic decision making
• Design, build, test and document new data processes and analytical solutions in support of product launches, regulatory changes and business initiatives
• Maintain, enhance and optimise existing actuarial models and data workflows, ensuring outputs remain accurate, reliable and fit for purpose
• Develop scalable analytical solutions using R, Python and SQL to improve data accessibility, modelling capability and operational efficiency
• Work collaboratively with Actuarial, Data Science, Business Intelligence and Data Engineering teams to deliver high-quality data products and business insights
• Identify opportunities to strengthen controls, improve governance and enhance processes across the Actuarial function through automation and continuous improvement
• Support the delivery of actuarial and business projects by supporting analysis, testing, implementation activities and subject matter expertise
• Prepare and communicate critical findings to stakeholders, translating complex data into clear and actionable recommendations
• Support audit and compliance requirements by maintaining documentation, evidencing controls and responding to internal and external stakeholder queries

What do you need to thrive?

• Strong experience analysing complex datasets and translating findings into meaningful business insights
• Proficiency in data analysis tools and programming languages such as R, Python and SQL
• Ability to build, maintain and enhance analytical models within a regulated or data-driven environment
• Strong understanding of data quality, governance and control frameworks with a focus on accuracy and reliability
• Experience developing data processes, reporting solutions and scalable analytical outputs for business stakeholders
• Excellent communication skills with the ability to present complex information clearly to both technical and non-technical audiences
• Strong problem-solving capability with a proactive approach to identifying improvements and delivering practical solutions
• Ability to manage competing priorities and work effectively within a fast-paced and evolving business environment
• Collaborative approach with experience working across multidisciplinary teams to deliver shared objectives
• Degree-level qualification in a quantitative discipline such as Mathematics, Actuarial Science, Economics, Engineering or Computer Science

So, what’s in it for you?

• Bonus Schemes - A bonus that regularly rewards you for your performance
• A pension of up to 12%- We will match your contributions up to 6% of your salary
• Our award-winning Vitality health insurance - With its own set of rewards and benefits
• Life Assurance - Four times annual salary

These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities!

If you are successful in your application and join us at Vitality, this is our promise to you, w

e will:

• Help you to be the healthiest you’ve ever been
• Create an environment that embraces you as you are and enables you to be your best self
• Give you flexibility on how, where and when you work
• Help you advance your career by playing you to your strengths
• Give you a voice to help our business grow and make Vitality a great place to be
• Give you the space to try, fail and learn
• Provide a healthy balance of challenge and support
• Recognise and reward you with a competitive salary and amazing benefits
• Be there for you when you need us
• Provide opportunities for you to be a force for good in society

We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.