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- Tasks: Support Underwriters with pricing models and risk analysis in insurance and reinsurance.
- Company: Join Convex, a leader in innovative insurance solutions.
- Benefits: Enjoy competitive salary, 30 days leave, private health insurance, 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 development.
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, SQL 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
Impact Analytics, Pricing Actuary employer: Convex
Contact Detail:
Convex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Impact Analytics, Pricing Actuary
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and reinsurance sectors, especially those working in analytics. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since this role values advanced knowledge in Python, SQL, and Power BI, make sure you can showcase your expertise. Practice common actuarial scenarios and be ready to discuss how you've used data to drive decisions.
✨Tip Number 3
Don’t just apply anywhere—apply through our website! We love seeing candidates who are genuinely interested in joining StudySmarter. Tailor your application to highlight how your experience aligns with the Impact Analytics team’s goals.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in leaving a positive impression. Mention something specific from your conversation to show you were engaged and are truly interested in the role.
We think you need these skills to ace Impact Analytics, Pricing Actuary
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your actuarial expertise and any relevant projects you've worked on that align with the role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about the Impact Analytics role. Share specific examples of how you've supported Underwriters or built pricing models in the past.
Showcase Your Technical Skills: Since advanced technical skills are valued, don’t forget to mention your experience with Python, SQL, and Power BI. If you’ve created analytical tools or dashboards, give us the details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups.
How to prepare for a job interview at Convex
✨Know Your Numbers
As an Impact Analytics, Pricing Actuary, you'll be dealing with a lot of data. Brush up on your technical skills, especially in Python, SQL, and Power BI. Be ready to discuss how you've used these tools in past roles to create pricing models or analyse risk.
✨Understand the Underwriting Process
Familiarise yourself with the underwriting process and how actuarial analytics supports it. Be prepared to explain how you can enhance transparency and confidence in analytics for Underwriters. This shows that you understand the core of the role and can contribute effectively.
✨Collaborative Mindset
Highlight your ability to work collaboratively across teams. Share examples of how you've successfully partnered with other departments, like Exposure Management or Capital Modelling, to drive initiatives. This will demonstrate your teamwork skills and your understanding of cross-functional resource utilisation.
✨Show Your Passion for Data
Express your genuine interest in using data and technology to improve processes. Discuss any projects where you've implemented analytical tools or dashboards. This not only showcases your skills but also aligns with Convex’s ambition to build market-leading data-led tech capabilities.
