Senior Algorithm Engineer in London

Senior Algorithm Engineer in London

London Full-Time 48000 - 72000 £ / year (est.) No working from home possible
Ki

At a Glance

  • Tasks: Design and develop cutting-edge algorithms for innovative insurance solutions.
  • Company: Join Ki, the fastest growing algorithmic insurance carrier in the world.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Dynamic, multi-disciplinary team with a focus on innovation and collaboration.
  • Why this job: Be part of a revolutionary team transforming the insurance industry with technology.
  • Qualifications: Experience in Python and machine learning; strong understanding of insurance principles.

The predicted salary is between 48000 - 72000 £ per year.

Who are we? 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 and the fastest growing syndicate in the Lloyd's of London market, being the first ever to make $100m in profit in 3 years.

Ki's teams have varied backgrounds and work together in an agile, cross‐functional way to build the very best experience for its customers. Ki has big ambitions but needs more excellent minds to challenge the status quo and help it reach new horizons.

Where you come in? We're looking for a Senior Algorithm Engineer to join our Algorithmic Underwriting team. You will work at the intersection of underwriting and algorithm development, developing machine learning‐enabled products that operate across over 25 classes of business ranging from Commercial Properties to Oil Rigs to Event Contingency insurance.

You will help us better evaluate every single risk on its own merits, and on how it helps us build a profitable and stable portfolio, all in the space of under a minute. From large scale geospatial analysis to manage our exposure to natural catastrophes to research and development on low data volume machine learning approaches for classes of business with very few claims (like Terrorism insurance!). We operate at the point where the two very different worlds of technology and specialty insurance meet, and you will be part of both.

We're a multi‐disciplined team and pride ourselves on being commercially focused, bringing together deep expertise in specialty insurance and scalable machine learning product development. Our squads focus on delivering high‐impact features and we favour a highly iterative, analytical approach. We invest time in research and development, internally and with academic institutions.

We focus on the commercial outcomes that our algorithm achieves, and we like well‐tested and maintainable code. Our algorithm is built in Python and our infrastructure is entirely cloud native, maintaining our infrastructure as code.

What you will be doing:

  • Design, develop and maintain algorithm related systems to carry out underwriting and portfolio management activities at scale.
  • Improve the robustness of the Ki algorithm by digitising the governance and control of our underwriting, actuarial and software processes, reducing our time to live.
  • Design and implement enabling services that make the Ki algorithm more efficient, flexible and scalable.
  • Liaise with business stakeholders and product owners to build the best algorithm product for customers.
  • Act as a knowledge hub with deep understanding of relevant Ki's business and tech stack.
  • Manage and develop junior members of the team.
  • Drive improvements in the way we operate as a digital underwriting capability.
  • Be commercially aware, with a knowledge of the insurance market.
  • Understand the control and management of data products and machine learning algorithms.
  • Be skilled using Python.
  • Experience using project management and workflow tools (e.g. Jira).
  • Experience with CI/CD tools such as GitHub Actions, Circle CI, Jenkins.
  • Understand market compliance and core regulatory requirements.
  • Understand core insurance portfolio management principles and dynamics.
  • Experience developing industrialised machine learning applications and services.

Senior Algorithm Engineer in London employer: Ki

At KI, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. Located in a dynamic industry, we offer competitive remuneration, comprehensive benefits, and ample opportunities for professional growth, ensuring that our team members can thrive while contributing to the future of insurance technology.

Ki

Contact Details:

Ki Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Algorithm Engineer in London

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Ki. A friendly chat can sometimes lead to opportunities that aren’t even advertised!

Tip Number 2

Show off your skills! Prepare a portfolio or a project that highlights your algorithm development expertise. When you get the chance to chat with the team, having something tangible to discuss can really set you apart.

Tip Number 3

Be ready for technical challenges! Brush up on your Python skills and be prepared to tackle some algorithm-related problems during interviews. Practice makes perfect, so don’t shy away from coding challenges!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Ki team!

We think you need these skills to ace Senior Algorithm Engineer in London

Machine Learning
Algorithm Development
Geospatial Analysis
Python
Cloud Infrastructure
Data Governance
Portfolio Management

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience with Python and machine learning in your application. We want to see how your skills align with the role of a Senior Algorithm Engineer, so don’t hold back on showcasing your technical prowess!

Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention how your background in algorithm development and understanding of the insurance market can help us disrupt the industry. We love seeing candidates who take the time to connect their experience with our mission!

Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Remember, we’re looking for high-impact features, so make your application impactful too!

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at Ki!

How to prepare for a job interview at Ki

Know Your Algorithms

Brush up on your knowledge of algorithms and machine learning principles. Be ready to discuss specific projects you've worked on, especially those that relate to underwriting or risk assessment. This will show your technical expertise and how it aligns with Ki's mission.

Understand the Insurance Landscape

Familiarise yourself with the insurance market, particularly in areas relevant to Ki's operations. Knowing about commercial properties, natural catastrophes, and niche areas like terrorism insurance will help you demonstrate your understanding of the business context behind the algorithms.

Showcase Your Coding Skills

Since the role requires Python proficiency, be prepared to discuss your coding experience. Bring examples of well-tested and maintainable code you've written, and if possible, share insights into how you've used CI/CD tools like GitHub Actions or Jenkins in your previous projects.

Be Ready for Collaboration

Ki values a multi-disciplined approach, so highlight your experience working in cross-functional teams. Discuss how you've liaised with stakeholders and product owners to deliver impactful features, as this will showcase your ability to work collaboratively in an agile environment.