Actuarial Data Scientist (USA)
Akur8, United States
Job Description
Akur8 is a young, dynamic, fast growing insurtech startup that is revolutionizing insurance rate making with transparent AI.
Since 2016 our skilled Ramp;D team of data scientists, software engineers and actuaries has developed unique AI algorithms that automate the insurance rate making process in an unprecedented way.
Our solution is a SaaS platform which allows insurance companies to model their risks 10 times faster, with a far higher predictive power than traditional methods. This constitutes a major game changer for the insurance industry.
Within the past year, Akur8 has been selected in:
- CB Insight’s Top 50 World Insurtech Companies
- Sønr’s World Top 25 Insurtech Companies
- FinTech Global’s Insurtech 100
- FinTech Global’s Top 100 AIFinTech Companies
- CodinGame’s Global Top 3 Software Engineering team
Our clients include not only carriers such as Axa, MunichRe, Tokio Marine North America, Generali, Allianz, Hippo, Bradesco, amp; Ergo, but also Actuarial Consultancies such as Milliman and Xceedance.
Headquartered in Paris but with offices in London, Milan, Tokyo amp; Cologne, we’re rapidly expanding internationally, including a strong focus on the US market where we’ve had a New York City HQ - and a local team - since January 2021.
Having recently extended our Series B investment by a further $25m, we’re poised for growth to become the global leader in insurance rate making.
Click here to learn more about Akur8
Click here to meet our Data Science amp; Actuarial Data Science team
Akur8 is, in all senses of the term, an equal opportunities employer, examining all applications based on equal skills amp; 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 leading insurtech companies.
This position is a key link between clients, Product, Ramp;D and Sales departments. As an ADS, you will work directly with external Actuaries or Data Scientists to provide best practices training and to identify the best use cases for Akur8’s software to ensure that each user gets the highest value out of Akur8.
You will also work with the Product team to benefit the US market by recommending new features, and with the Ramp;D team to explore new applications of machine learning in the insurance industry.
As an Actuarial Data Scientist, you will also be in direct contact with other stakeholders such as Head of Pricing, Head of Product, and CTOs. You will lead product demonstrations with various audiences and oversee Akur8 proof of concept projects in a consultant/instructor role.
Finally, you will contribute to white papers and present at conferences to establish the global leadership of Akur8 in US insurance pricing. This role will work with all US Pamp;C and Health lines of business, and will collaborate with other ADS on topics from around the world.
This role occasionally requires occasional travel to our Paris and New York City offices as well as for business events and conferences. Travel requirements are approximately 5-7 working days per month.
Requirements
The successful candidate must meet each of the following criteria in order to be considered for this position:
- A minimum of 3 years experience in a Pamp;C / General insurance rate making role as an Actuary, Data Scientist or as a Rate Maker (in order to understand insurance business imperatives and to be able 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) amp; risk analysis in a Pamp;C / General insurance rate making role;
- Preferably ACAS or FCAS designation (although not essential)
- Strong communication skills in order to elaborate on complex technical concepts to both technical / non-technical audiences;
- Readiness to travel across the US and internationally if required (approximately one week per month).
- Fluent English language skills
IMPORTANT: You must already be in possession an employment status that will allow you to work full