At a Glance
- Tasks: Lead data analytics initiatives to enhance pricing metrics and support strategic decision-making.
- Company: Join Ki, the fastest-growing global algorithmic insurance carrier revolutionising a 335-year-old market.
- Benefits: Enjoy competitive pay, recognition for hard work, and a dynamic work environment.
- Other info: Collaborative culture with opportunities for growth and innovation.
- Why this job: Make an impact in a cutting-edge company using algorithms and machine learning.
- Qualifications: Experience as a data analyst, strong SQL skills, and a passion for problem-solving.
The predicted salary is between 49500 - 60500 £ per year.
Описание
Look at the latest headlines and you will see something Ki insures.
Think space shuttles, world tours, wind farms, and even footballers' legs.
Ki's mission is simple.
Digitally disrupt and revolutionise a 335-year-old market.
Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days.
Ki is proudly the biggest global algorithmic insurance carrier.
It is the fastest growing syndicate in the Lloyd's of London market, and the first ever to make $100m in profit in 3 years.
- Задачи
- Lead and contribute to cross-divisional data analytics initiatives that improve the credibility and reliability of pricing metrics and actuarial outputs
- Support PLR and RARC deep-dive analysis and PMDR reviews, including investigation of data issues and bugs — scoping the problem, assessing severity and business impact, and proposing solutions
- Partner closely with the Commercial Data squad to identify key data gaps and areas for improvement, providing the actuarial business context needed to prioritise and shape their roadmap
- Develop and maintain a strong understanding of how Ki's data sets interrelate across Pricing, Reserving, and Portfolio Management, and act as a knowledge resource for the broader organisation
- Produce clear, accurate and insightful analysis that supports business understanding and commercial decision-making.
- Translate complex data findings into clear, actionable insights for both technical and non-technical stakeholders.
- Support the continuous improvement of data governance, analytical processes and reporting across the actuarial function.
- Build effective working relationships across the business to facilitate collaboration, knowledge sharing and delivery of strategic objectives.
- Требования
- Proven experience as a data analyst, ideally within insurance, financial services, or a similarly data-intensive environment
- Familiarity with actuarial concepts and insurance data — exposure to pricing, reserving, or portfolio management workflows is highly desirable
- Strong SQL skills and comfort working with large, complex datasets
- Ability to investigate ambiguous data problems independently, form hypotheses, and communicate findings clearly
- Strong written and verbal communication skills.
- You will be working with a broad range of different stakeholders across different levels, so you'll need to be able to effectively communicate complex technical concepts to different audiences.
- Unwavering curiosity and enthusiasm - to challenge how we do things and bring fresh ideas to the table.
• We're always looking to improve!
- The ability to build effective working relationships within the team and across the wider business.
- A self-starting drive to succeed, ensuring delivery of your work to achieve our goals and meet deadlines.
- Будет плюсом: Python or R a plus
- Условия
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.
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Actuarial data analyst in insurance in London employer: Ki
Ki in London is an exceptional employer that fosters a collaborative work culture, where employees are encouraged to innovate and grow. With a focus on professional development, you will have access to numerous training opportunities and the chance to work alongside industry experts in a dynamic environment. The company's commitment to regulatory excellence and its strategic location in London make it an attractive place for those seeking meaningful and rewarding careers in capital modelling.
StudySmarter Expert Advice🤫
We think this is how you could land Actuarial data analyst in insurance in London
✨Dive Into Industry Networking Events
Get your foot in the door by attending insurance industry events and conferences. Not only will you learn about the latest trends, but you'll also meet potential employers and industry peers. Check out local chapters of professional bodies like the Chartered Insurance Institute for valuable meetups.
✨Use LinkedIn to Your Advantage
Don’t underestimate the power of LinkedIn in the insurance world. Engage with industry content, join relevant groups, and connect with professionals at companies you admire (like Ki). A thoughtful message explaining your interest can really make a difference!
✨Look Out for Graduate Schemes
Many firms in insurance have structured graduate programmes. Keep an eye on application windows and utilise your university's career services for insider tips. These schemes are designed to develop talent and often lead to permanent roles after your initial training.
✨Leverage Your Current Connections
Got friends or family in the industry? Now’s the time to reach out! Personal referrals can give you a head start, so let them know you're on the lookout for full-time opportunities at places like Ki. Don’t shy away from asking for a coffee chat; you never know what doors it might open!
We think you need these skills to ace Actuarial data analyst in insurance in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In insurance, we love a candidate who can crunch numbers and analyse data effectively. When crafting your CV, make sure to showcase any relevant coursework or experiences that highlight your analytical abilities, especially if you’ve tackled risk assessment or financial modelling.
Showcase Industry Knowledge:Don’t be shy about your knowledge of the insurance sector! We want to see that you've done your homework on current trends, regulations, and challenges in the industry. Mention any relevant projects or studies you’ve completed that demonstrate your understanding of the field in your cover letter.
Craft a Compelling Cover Letter:Your cover letter should tell us why you’re passionate about insurance. Share any personal experiences or what drew you into this profession. We’re looking for enthusiasm and a clear motivation for why you want to be part of our team at Ki.
Tailor Your CV for the Role:Don't just send a generic CV! Focus on tailoring it specifically for the insurance role at Ki. Highlight relevant skills such as risk management, customer service experience, or any certifications you've earned in the industry to make your application stand out.
How to prepare for a job interview at Ki
✨Know Your Numbers: Insurance Fundamentals
Brush up on your understanding of key insurance concepts, like underwriting principles and risk assessment. Expect the interviewer at Ki to throw some technical questions your way, so be ready to demonstrate your grasp of these essentials.
✨Showcase Your Analytical Side
In the insurance world, it's all about data. Prepare to discuss any analytical tools or methodologies you've used in past experiences. If you have a portfolio of projects where you've tackled complex data, bring that along to impress the team!
✨Prepare for Behavioural Questions
As a full-timer at Ki, they'll want to know how you handle real-life scenarios, not just theory. Think about challenges you've faced in teamwork or customer service, and how those experiences can relate to a career in insurance.
✨Know the Company Culture Inside Out
Understanding Ki's values and workplace culture is essential. Don’t just memorise their mission statement; think about how your personal values align with theirs. This will show your genuine interest in being part of their team long-term.
