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Actuary / Data Scientist in Portfolio Management (Relocation to the Netherlands)

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Contenu de l'offre Actuary / Data Scientist in Portfolio Management (Relocation to the Netherlands) chez Swiss Re


Actuary / Data Scientist in Portfolio Management (Relocation to the Netherlands)


About the Team


iptiQ EMEA Property & Casualty is a start-up within Swiss Re with the mission to make the insurance buying process easy, transparent and 100% digital. From cyber to smart home insurance, we pride ourselves on bringing you innovative insurance products that are ready for the future today. We work with established B2C and B2B brands to create tailored insurance service at attractive prices. 


We put the consumers' needs in the centre of what we do, aim to become a digital champion and believe in data-based learning. We use the Swiss Re network to access state of the art technologies and capabilities, combine it with local expertise and an innovative mind-set, constantly questioning current ways of offering insurance. Our aim is to drive the digitalisation of the P&C insurance business in Europe as a white-label insurer working with trusted brands. We combine insurance know-how and e-commerce competencies, as well as the dynamic spirit of a start-up with the backing of Swiss Re.


About the Role


Glad you are interested! We are looking for a highly motivated actuary / data scientist to help support our Insurance & Proposition team to optimize portfolio performance through pricing. Efficient risk segmentation integrated in the pricing models together with the consideration of behavioral and market data help are key elements when building a strategy that will ensure profitable growth and help the company deliver its financial targets. At iptiQ, we put innovation at the heart of business and in this position you will have the opportunity to participate in the development and implementation of the pricing strategy at key customer moments after subscription: at renewal and at mid-term policy changes.


As part of this role, you will work with the product management team, data engineering team, insurance product/pricing and policy administration teams to embed data driven decision making across the teams and support the pricing of easy to understand and innovative insurance products.


If you are passionate about analytics and thrive working in an innovative and collaborative environment, then read on!


Your Responsibilities Will Include



Employing advanced modeling and optimization techniques in order to develop and implement the portfolio pricing strategy - at renewal and during the year;
Retention rates modeling, price elasticity studies through A/B testing and development of an optimization algorithm that would provide an optimal premium to every client and help the company meet its retention and profitability goals;
Conducting in-depth portfolio and claims analysis, follow and give recommendations on portfolio pruning;
Using data visualization tools to build interactive, insightful reports to help embed data driven decisions;
Participate in cross-functional projects, including the valuation of external portfolios to be transferred to our book;
Collaborate effectively with the Product Management, Data Engineering and Technological teams;
Validate, interpret and present data results to both an expert and a cross-functional audience.

About You



Graduate studies in Actuarial Sciences / Data Science / Statistics / Mathematics or similar fields
Previous experience in P&C insurance pricing is preferable
Solid knowledge of Machine Learning algorithms, statistics and probability
Proficiency in working with open-source programming tools (Python, R), visualization tools / packages
Strong analytical and communications skills with the ability to communicate complex ideas to both an expert and a cross-functional audience
Advanced English skills
Experience in working in an agile organization is a plus

Other


Please note this role requires relocation to our offies in the Netherlands, Hoofddorp. 

We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.


We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.


#LI-Hybrid



About iptiQ


At iptiQ, we partner with established brands around the world to create impactful digital insurance solutions. We make it easier for consumers to buy the insurance they need from the brands they trust. We provide life and non-life insurance through our end-to-end digital platform and build multi-channel customer experiences.



What we offer our employees is outstanding. Hybrid working in offices across the world, phenomenal learning & career opportunities and a culture that encourages new perspectives to challenge conventions and come up with innovative solutions. We believe in the power of inclusion. Drawing on our employees' broad range of perspectives, life experiences and backgrounds stimulates creativity and gives us a competitive edge. iptiQ embraces a workplace where everyone has equal opportunities to thrive regardless of their age, gender, gender identity and/or expression, sexual orientation, race, ethnicity, religion, physical or mental ability, or other characteristic and can be their authentic self. Ignite your curiosity to shape digital insurance.



iptiQ is part of Swiss Re, one of the world’s leading providers of re/insurance and risk transfer solutions. This means we’re backed by Swiss Re’s capital strength and more than 150 years of risk knowledge. Through our partnerships, we contribute to Swiss Re’s vision to make the world more resilient.



During the recruitment process, reasonable accommodations for special needs are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed.


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Reference Code: 123378 

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