At a Glance
- Tasks: Join a dynamic team to innovate insurance solutions using AI and data-driven insights.
- Company: Leading insurance firm in the heart of London with a focus on technology.
- Benefits: Competitive pay, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative atmosphere with a focus on innovation and transformation.
- Why this job: Make a real impact in the insurance industry while working with cutting-edge technology.
- Qualifications: Experience in insurance broking or actuarial roles with strong technical skills.
Please note: This role will require attendance at the Central London office 2‑3 days per week. The applicant must have unrestricted right to work in the UK.
The Opportunity
This hands‑on contract role sits between business, data, and technology. You will apply your deep understanding of insurance and market mechanics while contributing to solution design and build. The work supports a broader strategy to leverage AI‑driven insight, automation, and decision support, enabling the broker to bring something genuinely new to the London Market.
Key Responsibilities
- Act as a technical insurance SME across broking and/or actuarial domains
- Translate complex insurance concepts into functional and technical artefacts
- Rapidly prototype and iterate solutions using vibe coding / AI‑assisted development techniques
- Support data‑driven and AI‑enabled use cases across broking, placement, pricing, or analytics
- Work closely with data architects, engineers, and delivery teams to ensure solutions reflect real market behaviour
- Validate outputs against London Market practices, regulatory expectations, and broker operating models
- Contribute to defining how insurance logic is embedded into systems, models, and workflows
Required Experience
- Extensive experience in insurance broking or a strong actuarial background
- Deep knowledge of London Market structures, processes, and products
- Proven ability to operate as a hands‑on technical specialist, not just advisory
- Experience using modern coding, scripting, or prototyping approaches
- Comfortable experimenting, iterating, and building alongside delivery teams
- Strong stakeholder engagement skills across business and technology audiences
Highly Desirable
- Experience applying AI, machine learning, or advanced analytics in an insurance context
- Exposure to modern data platforms, APIs, or cloud‑based environments
- Experience working in transformation or innovation‑led broker initiatives
Engagement Details
Duration: 6 months. Pay: £650/pd Outside IR35.
Insurance Technical Specialist (Broking / Actuarial) - £650/pd in London employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insurance Technical Specialist (Broking / Actuarial) - £650/pd in London
✨Tip Number 1
Network like a pro! Get out there and connect with industry folks on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Show off your skills! If you’ve got experience in broking or actuarial work, don’t be shy about it. Create a portfolio or a project showcase that highlights your technical prowess and how you’ve tackled real-world problems.
✨Tip Number 3
Prepare for the interview like it’s the final exam! Research the company, understand their challenges, and think about how your skills can help them leverage AI and data-driven insights. We want to see you shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Insurance Technical Specialist (Broking / Actuarial) - £650/pd in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Insurance Technical Specialist. Highlight your experience in broking or actuarial work, and don’t forget to mention any hands-on technical skills you have. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Share specific examples of how you've applied your insurance knowledge and technical skills in past roles. We love a good story that showcases your expertise!
Show Off Your Technical Skills: Since this role involves a lot of technical work, make sure to highlight your coding, scripting, or prototyping experience. If you’ve worked with AI or data platforms, let us know! We’re keen to see how you can contribute to our innovative projects.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at Jefferson Frank
✨Know Your Stuff
Make sure you brush up on your knowledge of insurance broking and actuarial principles. Be ready to discuss specific examples from your experience that demonstrate your understanding of London Market structures and processes.
✨Showcase Your Technical Skills
Since this role involves hands-on technical work, be prepared to talk about your experience with coding, scripting, or prototyping. Bring examples of how you've used these skills in past projects, especially in relation to AI-driven insights or automation.
✨Engage with Stakeholders
Highlight your ability to communicate effectively with both business and technology teams. Prepare to discuss how you've successfully collaborated with different stakeholders in previous roles, ensuring that solutions meet market behaviour and regulatory expectations.
✨Be Ready to Prototype
This role requires rapid prototyping and iteration. Think of a few scenarios where you've had to quickly develop and refine solutions. Be ready to explain your thought process and how you approached problem-solving in those situations.