Machine Learning Product Manager, Akur8
Annual bonus available
More information about location
AI insurance pricing solution
Be an early applicant
AI insurance pricing solution
101-200 employees
Be an early applicant
Annual bonus available
More information about location
101-200 employees
Company mission
To revolutionise insurance pricing with transparent AI.
Role
Who you are
- A Masters degree or PhD in a quantitative discipline
- 3+ years experience in the Machine Learning field as ML/Data Science Product Manager, ML Software Engineer or Data Scientist
- Management or team leadership experience
- A sound understanding of machine learning concepts, models, and algorithms
- An 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 skills
- Effective communication skills (to exchange with both technical & non-technical stakeholders / clients)
- An ability to learn quickly to reach the required understanding of insurance pricing and provide added value to end customers
- A collaborative mindset (capablility to work as part of a team in a dynamic environment)
- Fluent English language skills
- Important: You must possess an employment status: French or Schengen area nationality or a ‘carte de séjour’ that will allow you to work from our Paris office. We are equally open to the visa sponsorship of non-EU candidates as long as they are already in possession of their final diploma / attestation of their final academic results
What the job involves
- 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), being a Product Manager in our organisation requires knowledge of how the different parts of our platform interact (something that you’ll 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, you’ll 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 section
- Discussing with all stakeholders to understand constraints and take the appropriate decisions
- Focusing on the ‘why’ behind building features, and being able to prioritize
- Cultivating a product-oriented culture within the company
- 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 colleagues
Our take
Putting the correct pricing on insurance has always been a challenge for insurers. Pricing too low can decimate its profits, but pricing too high is a sure-fire way to drive off customers. Despite this importance of pricing, it has generally remained a human task, and therefore prone to errors and biases.
Akur8 wants to change this, delivering an AI-based solution that automates pricing modelling for insurers, while maintaining the transparency and control required by regulators. By leveraging machine learning, the platform enhances insurers’ pricing processes, reducing modelling time whilst increasing predictive power.
Pricing in the insurance industry is changing fast, so keeping on top of such developments will be paramount to Akur8's success. Judging by its early metrics, though, it looks like this should be no problem. The company has already acquired big customers, including the likes of AXA and Generali, and has secured strong funding to support its growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Annual bonus
- Company shares/equity
- Hybrid office/home office policy
- 25 days of paid holidays + RTT
- Gym membership with Gymlib + on-site gym facilities/different sporting events
- Swile lunch vouchers
- Alan health insurance (including possibility of family coverage)
- Relocation support
- Sponsored crèche access
- Free cafeteria with fresh fruit, drinks and snacks
- Ongoing training
Company values
- Challenge the unbearable status quo - We strive for innovation and for the transformation of the insurance industry. But we command change only when it is a no-brainer and has genuine virtuous impact
- Disrupt the known, organize the unknown - We work without any borders. We have the ability to challenge ourselves to adapt to unknown scenarios. We thrive in structuring what is hardly structurable
- AI-driven but refreshingly human - Akur8 is an artificially-intelligent solution but humanity always comes first, within our team, with our clients and with our solution, where AI is Transparent and human-controlled
- Build things that last - We build long-standing, robust and reliable solutions for new and century-old insurance companies. We are here to stay
Company HQ
Plaine-Monceau, Paris, France
Articles
Leadership
Samuel Falmagne
(Founder & CEO)Worked at IBM for over 17 years, holding a range of executive roles, and also served as Head of Sales for Shift Technology.
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