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About the Role
This role is at the intersection of actuarial science, insurance, healthcare, data analytics, software development, and artificial intelligence. You will help create analytical capabilities, benchmarking tools, and client insight platforms to support key client relationships. You will have access to a unique global dataset and be encouraged to take ownership of analytical initiatives.
Responsibilities
- Creation of actuarial models and analytical tools supporting client renewal strategies, programme design and carrier negotiations
- Development of portfolio-specific assumptions, including inflation, trend and loss development assumptions
- Statistical analysis of claims performance, loss drivers and reserving trends
- Individual account modelling and pricing analyses
- Development and ownership of a proprietary healthcare and life sciences benchmarking database
- Production of client benchmarking studies and industry insight reports
- Portfolio analysis to support carrier engagement and placement strategy
- Delivery of data-driven recommendations to brokers, insurers and clients
- Attendance at client meetings to present analytical findings
- Identify opportunities to utilise AI, machine learning and modern software tools to improve client outcomes, automate processes and create differentiated analytical services
Requirements
- Degree in Actuarial Science, Mathematics, Statistics, Economics, Data Science or similar quantitative discipline
- Strong analytical and problem-solving skills
- Excellent Excel skills
- Strong communication and stakeholder management capabilities
- Curious, entrepreneurial and interested in building new capabilities
- Genuine enthusiasm for technology and artificial intelligence
- Candidates actively studying towards an actuarial qualification (IFoA or equivalent) will receive full support
- Relevant employment checks will be conducted prior to employment
Skills
- Python
- Data Science
- Machine Learning
- Generative AI
- Software Development
- R
- SQL
- Power BI
Location
- London
Work Type
- Hybrid
- Full-time
- Permanent
Experience Level
- Graduates
- Analysts
- Part-qualified actuaries
Education Level
- Degree in Actuarial Science, Mathematics, Statistics, Economics, Data Science or similar quantitative discipline
Salary/Compensations
- Competitive salary
Benefits
- Apprenticeships
- Study support
- Participation in annual Spotlight Awards
- Community Trust
- Sports Teams
- Office socials and events
- Wellbeing programs
- Discounts across many big-name businesses (supermarkets, gym memberships, restaurants)
- Healthcare cash plans
- Employer pension contribution of 10% (Employee provides 5%)
- Life Assurance at 4x base salary
- Group Income Protection
- Generous Annual Leave entitlement
- Private Medical Insurance
- Group annual bonus scheme
About the Company
- Price Forbes is one of the world's leading specialty insurance and reinsurance brokers.
- The Healthcare & Life Sciences Practice is the largest specialist healthcare and life sciences team in the industry.
- Advises many of the most sophisticated healthcare providers, health systems, care organisations, medical groups and life sciences businesses globally.
- Price Forbes provides much more than just a workplace, fostering skill development and knowledge within a passionate team.
- Values Employees and celebrates diversity.
- Part of The Ardonagh Group, offering opportunities for growth across the wider group.
- Encourages employees to make their role their own.
- Offices are lively and exciting, with a genuinely flexible approach to working.
- A thriving, energetic business with exciting plans.
Equal Opportunity
- We are an equal opportunities Employer, dedicated to creating a diverse, inclusive, and authentic workplace where everyone can thrive, bring their whole self to work, and reach their full potential.
- If you’re excited about this role, but your experience doesn’t perfectly match what we are looking for, please apply anyway.
- We truly value the diversity of our teams and as a Group, we are committed to supporting and welcoming individuals from all backgrounds, as we appreciate every perspective is a significant part of our success.
- Should you require any reasonable adjustment throughout the recruitment process, please do not hesitate to let a member of the Talent team know.