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- Tasks: Support Underwriters with pricing models and risk analysis in insurance and reinsurance.
- Company: Join Convex, a leading firm in data-driven insurance solutions.
- Benefits: Enjoy competitive salary, 30 days leave, private health cover, and learning budget.
- Why this job: Make a real impact by using data and tech to shape the future of insurance.
- Qualifications: Part or newly qualified Actuary with 3 years' experience in (re)insurance.
- Other info: Collaborative environment with opportunities for professional growth and community engagement.
The predicted salary is between 36000 - 60000 £ per year.
The Impact Analytics team at Convex supports Underwriters in insurance and reinsurance by offering Actuarial assistance with portfolio design, pricing models, and risk analysis. Your primary role will be to work closely with Underwriters, advising on portfolio design, building pricing models, and aiding in risk selection for various insurance and reinsurance lines. You'll also collaborate with teams in catastrophe analytics, capital optimisation, and ceded reinsurance. Active engagement with Underwriters is expected to enhance transparency and confidence in the analytics provided.
Key Responsibilities
- Supporting Underwriters with risk selection by designing pricing models, evaluating new markets, and optimising existing portfolios.
- Collaborating with Exposure Management, Capital Modelling, Ceded Re, and Actuarial teams for consistent decision-making.
- Driving wider initiatives that support Convex’s ambition to build market leading data lead tech capabilities.
- Creating analytical tools and dashboards with Data Engineers and BI Developers.
- Upholding Convex values and sharing expertise across the company.
Skills Knowledge and Expertise
- Part or newly qualified Actuary with at least 3 years’ experience in the London market (re)insurance sector.
- Articulate communicator, both verbally and written.
- Ability to maintain a collaborative approach and use influencing skills to deliver results using cross-functional resource.
- Genuine interest in using data and technology to improve processes and decision making.
- Advanced technical skills including Python, and Power BI would be valued.
Benefits
- Competitive Salary
- 30 days Annual Leave
- Birthday Leave
- 10% Employer Pension Contribution
- Private Health Insurance Medical Cover
- Group Income Protection
- Life Assurance Cover
- Enhanced Parental Leave
- Annual Health Check
- 3 days of Volunteer Leave each year
- 10 days of help with care (elder/ childcare) through Bright Horizons
- £1,300 to spend on learning & wellbeing
- Give as You Earn
- Cycle to Work
- Season Ticket Loan
Impact Analytics (Pricing & Portfolio Analytics) in London employer: Convex Insurance Ltd.
Contact Detail:
Convex Insurance Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Impact Analytics (Pricing & Portfolio Analytics) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at Convex or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your pricing models and analytical tools. This is your chance to demonstrate your expertise and how you can add value to the Impact Analytics team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills, especially Python and Power BI. Be ready to discuss how you've used these tools in past projects to solve real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Impact Analytics (Pricing & Portfolio Analytics) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Impact Analytics role. Highlight your experience in pricing models and risk analysis, as well as any relevant technical skills like Python or Power BI. We want to see how your background aligns with what we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how you can contribute to our team. Be sure to mention your collaborative approach and any specific projects that showcase your skills.
Showcase Your Communication Skills: Since being an articulate communicator is key for this role, make sure your written application reflects that. Keep your language clear and concise, and don’t shy away from showing your personality. We love a bit of flair!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Convex Insurance Ltd.
✨Know Your Numbers
As a Pricing Actuary, you'll need to demonstrate your analytical skills. Brush up on key actuarial concepts and be ready to discuss how you've applied them in past roles. Prepare examples of pricing models you've built or risk analyses you've conducted.
✨Showcase Collaboration Skills
Since the role involves working closely with Underwriters and various teams, highlight your experience in cross-functional collaboration. Think of specific instances where your teamwork led to successful outcomes, and be prepared to discuss how you can foster transparency and confidence in analytics.
✨Get Technical
Familiarise yourself with Python and Power BI, as these are valuable skills for the position. If you have any projects or tools you've developed using these technologies, be sure to mention them. Showing your technical prowess will set you apart from other candidates.
✨Align with Company Values
Convex values a data-driven approach and innovation. Research their mission and values, and think about how your personal values align with theirs. Be ready to articulate how you can contribute to their ambition of building market-leading data capabilities.