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- Tasks: Support Underwriters with pricing models and risk analysis in insurance and reinsurance.
- Company: Join Convex, a leading player in the insurance and reinsurance market.
- Benefits: Enjoy competitive salary, 30 days leave, private health insurance, and learning funds.
- Why this job: Make a real impact by using data and tech to enhance decision-making.
- 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) 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)
✨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 analytical tools and dashboards. If you’ve got experience with Python and Power BI, make sure to highlight that. It’s all about demonstrating how you can add value to the team.
✨Tip Number 3
Prepare for the interview by understanding Convex’s values and how they align with your own. Be ready to discuss how you can contribute to their ambition of building market-leading data-led tech capabilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Impact Analytics (Pricing & Portfolio Analytics)
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, and don’t forget to mention any relevant technical skills like Python or Power BI. We want to see how you can bring value to our team!
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 your background aligns with our needs. Be sure to mention your collaborative approach and any experience working with Underwriters or cross-functional teams.
Showcase Your Analytical Skills: In your application, make sure to showcase your analytical skills and any tools you've used to create dashboards or analytical tools. We love data-driven decision-making, so let us know how you've used data to improve processes in your previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application 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 at Convex!
How to prepare for a job interview at Convex Insurance Ltd.
✨Know Your Numbers
Brush up on your actuarial knowledge, especially around pricing models and risk analysis. Be ready to discuss specific examples from your experience in the London market, as this will show your expertise and confidence in the field.
✨Communicate Clearly
Since the role requires collaboration with Underwriters and various teams, practice articulating your thoughts clearly. Use simple language to explain complex concepts, and be prepared to demonstrate how you can influence decisions through effective communication.
✨Show Your Tech Savvy
Familiarise yourself with Python and Power BI, as these skills are highly valued. Be ready to discuss any projects where you've used these tools to create analytical dashboards or improve processes, showcasing your ability to leverage technology in your work.
✨Engage with the Company Values
Research Convex’s values and think about how your personal values align with them. During the interview, share examples of how you've upheld similar values in your previous roles, demonstrating that you're not just a fit for the job, but also for the company culture.