About this role
Job Title: Actuarial Analyst
Location: London/Hybrid (Typically 2/3 days in the office)
Type: Full time – Permanent (If you are a job share partnership, work reduced hours, or any other way of working flexibly, please do still get in touch)
At Price Forbes, we provide much more than just a workplace. We are dedicated to fostering skill development and knowledge within a team that is passionate about their work, values their Employees, and truly celebrates diversity.
Working at Price Forbes means you’ll be part of The Ardonagh Group. We are proud of our innovative environment offering many opportunities for growth across the wider group. Employees regularly move between our united teams, and we encourage you to make your role your own.
Our offices are lively and exciting places to be, but we understand that life needs flexibility, and offer a genuinely flexible approach to working. If you are looking to join a thriving, energetic business with exciting plans, this role could be an ideal fit for you.
What we can offer:
We offer much more than just an inclusive culture with apprenticeships, study support, participation in our annual Spotlight Awards, Community Trust, Sports Teams, office socials, events and so much more. All of this with a supportive management team as well as working alongside some of the industry’s top talent.
You’ll have access to wellbeing programs, fantastic discounts across many big-name businesses including supermarkets, gym memberships, restaurants, and healthcare cash plans etc.
Further perks of working with us (Fixed benefits):
- Employer pension contribution of 10% (providing you, the Employee provides 5%).
- Good work life balance - flexibility to suit you.
- Competitive salary.
- Life Assurance at X4 of your base salary.
- Group Income Protection.
- Generous Annual Leave entitlement.
- Private Medical Insurance.
- Group annual bonus scheme.
Manager says:
Price Forbes is one of the world's leading specialty insurance and reinsurance brokers. Our Healthcare & Life Sciences Practice is the largest specialist healthcare and life sciences team in the industry, advising many of the most sophisticated healthcare providers, health systems, care organisations, medical groups and life sciences businesses globally. As part of a significant investment in data, analytics and innovation, we are creating a new Actuarial Analyst role to help drive the next stage of our growth.
This is not a traditional actuarial position. You will work at the intersection of actuarial science, insurance, healthcare, data analytics, software development and artificial intelligence. You will help create the analytical capabilities, benchmarking tools and client insight platforms that support some of our most important client relationships. You will have access to a unique dataset spanning healthcare and life sciences organisations across the globe and will be encouraged to take ownership of analytical initiatives from day one.
What you will do:
- 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.
Technology, Software & AI
A key part of this role is helping Price Forbes develop market-leading technology-enabled advisory capabilities. We are looking for an individual with a genuine passion for software, automation and artificial intelligence. You will be encouraged to identify opportunities to utilise AI, machine learning and modern software tools to improve client outcomes, automate processes and create differentiated analytical services. Candidates with experience or curiosity around Python, data science, machine learning, generative AI and software development will be particularly attractive.
What you will bring:
- Degree in Actuarial Science, Mathematics, Statistics, Economics, Data Science or similar quantitative discipline.
- Strong analytical and problem-solving skills.
- Excellent Excel skills.
- Experience with Python, R, SQL, Power BI or similar tools is advantageous.
- Strong communication and stakeholder management capabilities.
- Curious, entrepreneurial and interested in building new capabilities.
- Genuine enthusiasm for technology and artificial intelligence.
Professional Development
We welcome applications from graduates, analysts and part-qualified actuaries. Candidates actively studying towards an actuarial qualification (IFoA or equivalent) will receive full support from Price Forbes through a comprehensive study package, including examination fees, study leave, mentoring and ongoing professional development support.
Why Join Price Forbes?
- Join the largest specialist Healthcare & Life Sciences insurance team in the industry.
- Work with some of the leading healthcare and life sciences organisations in the world.
- Access a unique proprietary dataset.
- Help build market-leading benchmarking and analytics capabilities.
- Play a central role in the application of AI and software within a specialist broker.
- Enjoy meaningful client exposure and responsibility from an early stage.
- Be part of a significant strategic investment in data, analytics and innovation.
Think you don’t meet every requirement?
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. You might just be the right fit for the job, or other opportunities we may have within the wider Group.
Interview Process:
At Price Forbes, we have a straightforward interview process to ensure the best fit for both you and the company:
- Submit your application with your CV, emphasising your skills and experience related to the job.
- Our Talent Acquisition team will then arrange a call where they can tell you more about the role and the team. We want to learn about your motivation and goals, what you can bring to Price Forbes, and answer any immediate questions.
- If successful, you will generally be invited to engage in a 1-hour interview with the Hiring Manager and selected team members, via teams or in person. We will discuss our technologies, key skills, and team dynamics and provide further opportunity to ask any questions. This is your chance to voice your thoughts on the role and we will outline our expectations and ensure this role aligns with your ambitions for the future.
- Depending on the role, you may be invited to attend a second stage interview with further members of the team.
If successful or unsuccessful, we always try and move quickly in presenting an offer or providing feedback.
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.
#PFI #LI-KB1
If your application is successful, we will conduct relevant employment checks prior to you commencing employment with us. These will include verifying your recent employment, address, credit history, and a standard criminal record check.
Note to recruiters and employment agencies:
We will not pay for unsolicited CV's from recruiters and employment agencies unless we have a signed agreement and have requested assistance, in writing, for a specific vacancy.