Requirements: English
Company: AKUR8
Region: Paris , le-de-France
ABOUT US
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 weve 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 2023In Insurtech Globals Top 100 AIFinTech list 2023In Fintech Globals Top 100 AIFinTech list 2023As No.24 in Snrs World Top 100 Insurtech Companies 2022As 3rd best overall (worldwide) in the CodinGame 2022 Software Engineering Fall Challenge
With 39 nationalities within our team, and offices in Paris, London, New York, Tokyo, Milan, Cologne, Atlanta and Montral, Akur8''s solution is international by design.
Servicing more than 320+ 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.
ROLE
Insurance pricing is a complex process encompassing statistical modeling, visualizations and team collaboration.
Akur8 software strives to increase efficiency, performance and transparency of the pricing workflow, designing flexible modules and processes leveraging our proprietary machine learning algorithms.
As optimal machine learning models should be intuitive, easy to test and analyse - in order to identify errors - our Machine Learning Product Managers conceptualize key features, empowering the actuary of the future whilst simultaneously upskilling and eliminating pitfalls for the end user.
Driving our innovation, the Machine Learning Product Manager will be directly responsible for decision making regarding one of the modules of our suite of softwares (whether independently or as part of a committee, according to strategic importance).
A cross-functional role, providing a wide range of interactions with various internal teams (Design, R&D, Sales, Marketing), it requires knowledge of how the different parts of our platform interact (something that youll gain both during your onboarding period and on an ongoing basis).
Furthermore, it involves discussions with our clients, understanding their needs and - as a consequence - our value proposition and opportunities for product evolution.
Over time, youll gather market information, extract the relevant elements and schedule the planning of product development to the next level, including:
Being a driving force for a whole product sectionDiscussing with all stakeholders to understand constraints and take the appropriate decisionsFocusing on the why behind building features, and being able to prioritizeCultivating a product-oriented culture within the company
Main responsibilities:
Constantly acquiring a deep understanding of pricing techniquesDesigning clean solutions and develop plans for successful deliveryConducting experiments with internal teams and partnersPrioritizing and scoping features for internal development squadsAnimating training sessions for clients, prospects and colleagues
PROFILE
For this key role within our Product Management team were keen to speak to applicants that meet the following criteria. You must possess:
A Masters degree or PhD in a quantitative discipline3+ years experience in the Machine Learning field
as ML/Data Science Product Manager, ML Software Engineer or Data Scientist.
Management or team leadership experienceA sound understanding of machine learning concepts, models, and algorithmsAn understanding of predictive modeling
(prioritizing strategy & planning to build intuitive solutions & processes that answer client needs)Very strong focus on both ML validation techniques
(i.e. performance metrics, model selection, PDP, etc.)
and statistical concepts
(i.e. regression, p-values, etc.)
Excellent quantitative & analytical skil