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- Tasks: Join our risk aggregation team to ensure data quality and support new revenue opportunities.
- Company: Ki is a leading global insurance tech company revolutionising the industry since 2021.
- Benefits: Enjoy competitive pay, recognition for hard work, and a diverse, inclusive culture.
- Why this job: Be part of a fast-growing team that values your input and nurtures talent.
- Qualifications: Recent graduates with analytical degrees and strong coding skills are encouraged to apply.
- Other info: We celebrate diversity and believe everyone should be their authentic selves at work.
The predicted salary is between 28800 - 48000 £ per year.
Who are we? Ki is the biggest global insurance tech company you’ve never heard of, unless you’ve been looking to insure a satellite, wind farm or music festival recently. Having written over $877m in gross written premium in 2023, we’ve achieved significant growth since our beginnings in 2021. Our investors were excited about the fact we were revolutionising the way a 333 year-old industry was working. Together with partners at Google and UCL we developed Ki and created a platform that helps insurance brokers place risk in a fast and frictionless way. We’re continuing to lead the charge on the digitisation of this market and we need more excellent minds to work with us to realise this goal and create more opportunities.
Purpose of the Role
You will be working as a key player in the risk aggregation team, collaborating with capital modellers, actuaries and the enterprise risk management function to ensure that modelling processes and assumptions meet our regulatory requirements. You will help us to manage the quality of exposure data and production of data from Ki’s processing teams. We’ll ask you to provide relevant subject matter expertise to wider risk aggregation projects and internal stakeholders, along with working cross-functionally with the business to support the delivery of new revenue opportunities.
As a developing team in a fast growing and evolving business, we are eager to nurture talent at the graduate level. If you have recently graduated with a numerate or analytical degree, have an interest in or have studied catastrophe modelling, and you have strong coding and Excel capability this could be the role for you.
Our culture
Inclusion & Diversity is at the heart of our business at Ki. We recognise that diversity in age, race, gender, ethnicity, sexual orientation, physical ability, thought and social background bring richness to our working environment. No matter who you are, where you’re from, how you think, or who you love, we believe you should be you.
You’ll get a highly competitive remuneration and benefits package. This is kept under constant review to make sure it stays relevant. We understand the power of saying thank you and take time to acknowledge and reward extraordinary effort by teams or individuals.
If this sounds like a role and a culture that appeals to you, let us know.
Contact Detail:
Ki Insurance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analyst- Risk Aggregation
✨Tip Number 1
Familiarise yourself with the latest trends in risk aggregation and catastrophe modelling. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the insurance tech industry, especially those working in risk management or data analysis. Attend relevant webinars or local meetups to build connections that could lead to referrals.
✨Tip Number 3
Brush up on your coding skills, particularly in languages commonly used in data analysis like Python or R. Being able to demonstrate your technical abilities can set you apart from other candidates.
✨Tip Number 4
Showcase your analytical mindset by preparing examples of how you've tackled complex problems in the past. Be ready to discuss these experiences in detail during your interview to highlight your suitability for the role.
We think you need these skills to ace Analyst- Risk Aggregation
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the key responsibilities and requirements for the Analyst - Risk Aggregation position. Tailor your application to highlight how your skills and experiences align with these aspects.
Highlight Relevant Skills: Emphasise your numerate or analytical degree, coding skills, and Excel capabilities in your CV and cover letter. Provide specific examples of how you've applied these skills in previous projects or studies.
Showcase Your Interest: Demonstrate your interest in catastrophe modelling and the insurance tech industry. Mention any relevant coursework, projects, or experiences that reflect your passion for this field.
Personalise Your Application: Make your application stand out by personalising your cover letter. Address it to the hiring manager if possible, and express why you are excited about the opportunity to work at Ki and contribute to their mission.
How to prepare for a job interview at Ki Insurance
✨Understand the Company and Its Culture
Before your interview, take some time to research Ki and its unique position in the insurance tech industry. Familiarise yourself with their mission, values, and recent achievements. This will not only help you answer questions more effectively but also demonstrate your genuine interest in the company.
✨Showcase Your Analytical Skills
As an Analyst in Risk Aggregation, you'll need strong analytical capabilities. Be prepared to discuss your experience with data analysis, coding, and Excel. Consider bringing examples of projects or coursework that highlight your skills in these areas, especially if they relate to catastrophe modelling.
✨Prepare for Technical Questions
Expect technical questions related to risk aggregation and data management. Brush up on relevant concepts and be ready to explain how you would approach specific scenarios. This will show that you have the necessary knowledge and can think critically about the challenges you might face in the role.
✨Emphasise Your Teamwork and Collaboration Skills
Since the role involves working closely with various teams, it's important to highlight your ability to collaborate effectively. Share examples of past experiences where you worked in a team setting, particularly in analytical or project-based environments, to illustrate your interpersonal skills.
