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- Tasks: Join a dynamic team to build and enhance pricing models using data science techniques.
- Company: Work with a leading Lloyd's syndicate known for innovation in the insurance sector.
- Benefits: Enjoy a collaborative environment with opportunities for continuous learning and development.
- Why this job: Perfect for tech-savvy individuals eager to apply their skills in a commercial setting.
- Qualifications: 1 year of experience in General Insurance actuarial roles or a strong academic background in data science.
- Other info: Open to high-potential graduates with relevant internships.
The predicted salary is between 36000 - 60000 £ per year.
We have partnered with a leading Lloyd's syndicate to hire two Pricing Analysts to join their growing and innovative pricing function. This is a fantastic opportunity for those who love the technical side of actuarial work, enjoy building models, working with large datasets, and applying data science techniques in a commercial environment.
You will be joining a collaborative, high-performing pricing team where you will have the opportunity to:
- Build, enhance, and deploy pricing models using actuarial and data science techniques
- Analyse product and scheme performance to support pricing decisions
- Work across business functions - linking pricing, deployment, and underwriting strategy
- Help develop internal tooling, data processes, and reporting systems
- Use tools like Python, R, SQL, Power BI, or Excel/VBA to extract actionable insights
- Contribute to continuous improvement through creative problem-solving
Key Requirements:
The ideal candidate will have 1 year of experience in a General Insurance actuarial role, particularly pricing. These roles are also open to a high-potential graduate with a strong academic background and a data science or analytics internship.
For more information please get in touch to apply.
Actuarial Pricing/ Data Analyst employer: HFG
Contact Detail:
HFG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Actuarial Pricing/ Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Python, R, SQL, and Power BI. Having hands-on experience or projects showcasing your skills with these tools can set you apart during the interview process.
✨Tip Number 2
Brush up on your understanding of actuarial pricing models and data science techniques. Being able to discuss recent trends or innovations in these areas will demonstrate your passion and knowledge during conversations with the hiring team.
✨Tip Number 3
Network with professionals in the actuarial field, especially those working in pricing roles. Engaging with them on platforms like LinkedIn can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 4
Prepare to discuss how you've used data to drive decisions in past experiences. Whether through internships or academic projects, having concrete examples ready will help illustrate your analytical capabilities and problem-solving skills.
We think you need these skills to ace Actuarial Pricing/ Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in actuarial roles, particularly in pricing. Include any projects or internships that involved data analysis, model building, or the use of programming languages like Python or R.
Craft a Strong Cover Letter: In your cover letter, express your passion for actuarial work and data science. Mention specific examples of how you've used data to drive decisions or improve processes, and explain why you're excited about this opportunity with the Lloyd's syndicate.
Highlight Technical Skills: Clearly list your technical skills related to the job description, such as proficiency in SQL, Power BI, or Excel/VBA. Provide examples of how you've applied these skills in previous roles or projects.
Showcase Problem-Solving Abilities: Demonstrate your creative problem-solving skills by including examples in your application. Discuss challenges you've faced in past roles and how you approached them, especially in relation to pricing models or data analysis.
How to prepare for a job interview at HFG
✨Showcase Your Technical Skills
Make sure to highlight your experience with tools like Python, R, SQL, and Power BI during the interview. Be prepared to discuss specific projects where you used these skills to build or enhance pricing models.
✨Demonstrate Analytical Thinking
Prepare examples of how you've analysed product performance or supported pricing decisions in previous roles or internships. This will show your ability to apply data science techniques in a commercial environment.
✨Emphasise Collaboration
Since the role involves working across various business functions, be ready to discuss your experience in collaborative projects. Highlight how you’ve linked pricing strategies with other departments like underwriting.
✨Prepare for Problem-Solving Questions
Expect questions that assess your creative problem-solving abilities. Think of scenarios where you contributed to continuous improvement in processes or tools, and be ready to share those experiences.
