Actuarial Data Scientist

Akur8 is a young, dynamic, fast growing Insurtech startup that is transforming insurance pricing and reserving with transparent machine learning.

Our SaaS platform leverages the power of transparent machine learning and predictive analytics to inject game-changing speed, performance and reliability into insurers’ pricing and reserving processes.

Powered by skilled R&D, Product & Actuarial teams we’ve developed unique AI algorithms that automate the insurance pricing and reserving in an unprecedented way.

This results in a pricing solution which not only allows insurance companies to model their risks 10 times faster, with a higher predictive power than traditional methods, but which also incorporates next generation reserving functionalities, helping to predict and legislate for future claims, therefore constituting a major game changer for the insurance industry.

Akur8 has already been selected:

• In CB Insights Top 50 World Insurtech Companies 2023
• In Insurtech Global’s Top 100 AIFinTech list 2023
• In Fintech Global’s Top 100 AIFinTech list 2023
• As No.24 in Sønr’s World Top 100 Insurtech Companies 2022
• As 3rd best overall (worldwide) in the CodinGame 2022 Software Engineering Fall Challenge

With 35 nationalities within our team, and offices in Paris, London, New York, Tokyo, Milan, Cologne, Atlanta and Montréal, Akur8's solution is international by design. 

Servicing more than 250+ clients across 4 continents and targeting all non-life insurance carriers, we focus on more mature markets for faster expansion.

To learn more about Akur8, and what we do, click here.

Akur8 is, in all senses of the term, an equal opportunities employer. Akur8 puts diversity, equality and inclusion at the heart of its values. We examine all applications based on equal skills and applying the principles of non-discrimination.

Becoming an Actuarial Data Scientist is the ideal opportunity to influence the usage of cutting edge advanced machine learning technology in the insurance industry and to have a visible effect on the product roadmap of one of the world’s foremost insurtech companies.

This position interacts with our Product, Sales, and R&D departments in various ways. As an Actuarial Data Scientist, you will act as a subject matter expert, assisting the sales team to find the best use cases for Akur8’s software to provide the highest value to each client’s unique business practices.

Working with the Product team to recommend new features that might benefit our clients, you’ll also collaborate with our R&D team to explore new applications of machine learning in the insurance industry.

You’ll lead product demonstrations to various audiences and oversee Akur8 proof of concept projects in an actuarial consultant type of role. These projects will range from straightforward loss modeling to creative uses of modeling to solve a variety of business problems. 

Communicating directly with client contacts such as Heads of Pricing, Heads of Product, CTOs, Actuaries, and Data Scientists, you’ll also conduct regular technical sessions to provide ad hoc modeling best practice guidance, technical training, and actuarial support. 

In addition to these technical client-facing responsibilities, you’ll have an impact on the design of product training and the improvement of model development. 

Finally, you’ll also contribute to white papers and participate in / present at conferences to establish the leadership of Akur8 in North America and other markets.

You’ll be attached to our Montreal office, and occasional travel for business events will be required (a maximum of approximately one week per month). 

The successful candidate must meet each of the following criteria in order to be considered for this position (elements in bold are things, without which, we will be unable to consider your application):

• 3-10 years experience in a P&C / General / Health insurance pricing role (as either a Pricing Actuary, Actuarial Consultant or Data Scientist etc.);

• Ability to understand insurance business imperatives and establish solutions in accordance with them ;
• A strong understanding of Data Science and Machine Learning techniques for predictive modeling ;

• Experience in actuarial data-driven predictive modeling (GLMs / GAMs) & risk analysis in a P&C / General insurance pricing role ;

• Strong communication skills in order to elaborate on complex technical concepts to both technical / non-technical audiences ;

• Readiness to travel when required (approximately one week per month) ;
• CIA or CAS credentials and experience filing predictive models in Canada or the US is preferred. 

• Native-level of English

Important: You must be Canadian, a permanent resident, or possess a relevant visa which allows you to work in an unrestricted manner from our Montreal office. 

We are also willing to consider people currently living in the United States who are willing to relocate to Montreal, QC.