At a Glance
- Tasks: Lead a team in developing predictive models for pricing and behavioural analysis.
- Company: Join a top broker in the Lloyd's Market with a strong reputation.
- Benefits: Enjoy a fully remote role with flexible working options.
- Why this job: Shape product strategies while making a real impact in the insurance sector.
- Qualifications: Must be a qualified actuary or experienced QBE professional with leadership skills.
- Other info: This is a 10-month fixed-term contract starting early October.
The predicted salary is between 54000 - 84000 £ per year.
Job Description
I am working with a leading broker in the Lloyd’s Market currently hiring for a Head of Actuarial & Data Science on a 10-month fixed-term contract, starting early October.
You will be responsible for leading actuarial and data science initiatives across the retail side of the business, heading up a team of 9.
You will be required to drive the development and maintenance of predictive models for pricing and behavioural analysis. You will also shape product and pricing strategy, focusing on personal lines products.
The successful candidate will have a strong background in the UK broking space, with proven experience leading data science or pricing teams. Prior hands-on modelling experience is essential, alongside excellent leadership and stakeholder management skills.
I am looking to speak with qualified actuaries or experienced QBE professionals.
This is a fully remote opportunity.
Please reach out for more details: niamh.carabine@eamesconsulting.com / 020 7092 3220
Head of Actuarial & Data Science employer: Eames Consulting
Contact Detail:
Eames Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Actuarial & Data Science
✨Tip Number 1
Network with professionals in the Lloyd's Market. Attend industry events or webinars to connect with key players and learn about the latest trends in actuarial science and data analytics.
✨Tip Number 2
Showcase your leadership skills by discussing any previous experience managing teams or projects. Be prepared to share specific examples of how you've driven successful outcomes in data science or pricing initiatives.
✨Tip Number 3
Familiarise yourself with the latest predictive modelling techniques and tools used in the industry. Being able to discuss these during your conversations will demonstrate your expertise and commitment to staying current.
✨Tip Number 4
Prepare to articulate your vision for the future of actuarial and data science within the retail sector. Having a clear strategy on how you would approach product and pricing development will set you apart from other candidates.
We think you need these skills to ace Head of Actuarial & Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in the UK broking space, particularly any leadership roles in data science or pricing teams. Use specific examples to demonstrate your hands-on modelling experience.
Craft a Compelling Cover Letter: In your cover letter, explain why you are the perfect fit for the Head of Actuarial & Data Science role. Discuss your leadership style and how you've successfully driven actuarial initiatives in the past.
Highlight Relevant Skills: Emphasise your skills in predictive modelling, product and pricing strategy, and stakeholder management. Make sure to align these with the requirements mentioned in the job description.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or typos. A polished application reflects your attention to detail, which is crucial for this role.
How to prepare for a job interview at Eames Consulting
✨Showcase Your Leadership Skills
As a Head of Actuarial & Data Science, you'll be leading a team. Be prepared to discuss your leadership style and provide examples of how you've successfully managed teams in the past. Highlight any specific achievements that demonstrate your ability to inspire and guide others.
✨Demonstrate Technical Expertise
Given the role's focus on predictive modelling and data science, ensure you can articulate your hands-on experience with relevant tools and methodologies. Be ready to discuss specific projects where you've developed or maintained predictive models, and how they impacted pricing strategies.
✨Understand the Lloyd's Market
Familiarise yourself with the nuances of the Lloyd's Market and how it operates. Being able to speak knowledgeably about the market will show your potential employer that you're not just qualified but also genuinely interested in the industry.
✨Prepare for Stakeholder Management Questions
Since the role involves significant stakeholder management, think about past experiences where you've successfully navigated complex relationships. Prepare to discuss how you communicate technical information to non-technical stakeholders and how you ensure alignment across different teams.