Requirements: English
Company: AKUR8
Region: Paris , le-de-France
ABOUT US Akur8 is a young, dynamic, fast growingInsurtech startup that is transforming insurance pricing andreserving with transparent machine learning. Our SaaS platformleverages the power of transparent machine learning and predictiveanalytics to inject game-changing speed, performance andreliability into insurers pricing and reserving processes. Poweredby skilled R&D, Product & Actuarial teams weve developedunique AI algorithms that automate the insurance pricing andreserving in an unprecedented way. This results in a pricingsolution which not only allows insurance companies to model theirrisks 10 times faster, with a higher predictive power thantraditional methods, but which also incorporates next generationreserving functionalities, helping to predict and legislate forfuture claims, therefore constituting a major game changer for theinsurance industry. Akur8 has already been selected: - In CBInsights Top 50 World Insurtech Companies 2023 - In InsurtechGlobals Top 100 AIFinTech list 2023 - In Fintech Globals Top 100AIFinTech list 2023 - As No.24 in Snrs World Top 100 InsurtechCompanies 2022 - As 3rd best overall (worldwide) in the CodinGame2022 Software Engineering Fall Challenge With 39 nationalitieswithin our team, and offices in Paris, London, New York, Tokyo,Milan, Cologne, Atlanta and Montral, Akur8''s solution isinternational by design. Servicing more than 320+ clients across 4continents and targeting all non-life insurance carriers, we focuson more mature markets for faster expansion. To learn more aboutAkur8, and what we do, click here. Akur8 is, in all senses of theterm, an equal opportunities employer. Akur8 puts diversity,equality and inclusion at the heart of its values. We examine allapplications based on equal skills and applying the principles ofnon-discrimination. ROLE Insurance pricing is a complex processencompassing statistical modeling, visualizations and teamcollaboration. Akur8 software strives to increase efficiency,performance and transparency of the pricing workflow, designingflexible modules and processes leveraging our proprietary machinelearning algorithms. As optimal machine learning models should beintuitive, 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 simultaneouslyupskilling and eliminating pitfalls for the end user. Driving ourinnovation, the Machine Learning Product Manager will be directlyresponsible for decision making regarding one of the modules of oursuite of softwares (whether independently or as part of acommittee, according to strategic importance). A cross-functionalrole, providing a wide range of interactions with various internalteams (Design, R&D, Sales, Marketing), it requires knowledge ofhow the different parts of our platform interact (something thatyoull gain both during your onboarding period and on an ongoingbasis). Furthermore, it involves discussions with our clients,understanding their needs and - as a consequence - our valueproposition and opportunities for product evolution. Over time,youll gather market information, extract the relevant elements andschedule the planning of product development to the next level,including: - Being a driving force for a whole product section -Discussing with all stakeholders to understand constraints and takethe appropriate decisions - Focusing on the why behind buildingfeatures, and being able to prioritize - Cultivating aproduct-oriented culture within the company Main responsibilities:- Constantly acquiring a deep understanding of pricing techniques -Designing clean solutions and develop plans for successful delivery- Conducting experiments with internal teams and partners -Prioritizing and scoping features for internal development squads -Animating training sessions for clients, prospects and colleaguesPROFILE For this key role within our Product Management team werekeen to speak to applicants that meet the following criteria.Youmust possess: - A Masters degree or PhD in a quantitativediscipline - 3+ years experience in the Machine Learning field asML/Data Science Product Manager, ML Software Engineer or DataScientist. - Management or team leadership experience - A soundunderstanding of machine learning concepts, models, and algorithms- An understanding of predictive modeling (prioritizing strategy& planning to build intuitive solutions & processes thatanswer client needs) - Very strong focus on both ML validationtechniques (i.e. performance metrics, model selection, PDP, etc.)and statistical concepts (i.e. regression, p-values, etc.) -Ability to write down the equations / algorithms for ML models (andspecify the expected behaviour of a product down to that level ofdetail) - Excellent quantitative & analytical skills -Effective communication skills (to exchange with both technical& non-technical stakehold