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Location: 

Hoofddorp, NL

Insurance Portfolio and Claims Analyst

 

About iptiQ
 

iptiQ is a risk tech start-up within Swiss Re Group. Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime.

iptiQ provides digital, bespoke and transparent L&H and P&C protection products in a B2B2C manner. Founded in 2014, we're transforming the way consumers buy insurance with a unique digital insurance engine which incorporates the latest technology with world-class underwriting capabilities. We build strong partnerships to sell insurance via trusted brands.

iptiQ offers a flexible working environment where curious and adaptable people thrive. Are you interested in joining us?

 

About the Role

Glad you're interested. We are looking for a highly motivated analytics expert to help shape our portfolio and claims analytics team. Using sophisticated analytical techniques to drive insight in the portfolio performance and profitability.

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

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

Your day-to-day activities will include

  • Collaborate with the Insurance and Propositions team applying analytical methods to drive business insights and support product and claims mangers with innovative insights.
  • Make informed business decisions to steer the portfolio to achieve business targets including providing the analytics for policy renewal.
  • Utilize data visualization to create interactive, insightful reports to help embed data driven decisions across the organization
  • Work alongside the claims operations to understand claims performance and optimize processes
  • Collaborate with the data team to support the development of a data structure to support future predictive modelling.
  • Validate, interpret and present data results to both an expert and non-expert audience

In the long-run what we are expecting from you

  • Be an analytics specialist and the go-to person for understanding the in depth performance of the portfolio and claims in your market and for each distribution partner
  • Support the growth of our analytics capability by implementing new insights to support our business ambitions.
  • Become our portfolio performance specialist through in depth analysis and drive future profitability through data driven decisions.

About the Team

The newly formed team sits within the Insurance and Proposition team and works alongside the product managers and marketing teams to drive insight to improve product design. We use insurance knowledge and analytical expertise to support the wider iptiQ P&C teams across claims operations and product design.

About You

This is what we will look for:

  • Solid professional experience in an analytical role within P&C insurance, ideally including experience across various product lines
  • Strong analytical skills, experience working with actuarial teams is an advantage
  • Proficiency in analytical tools such as R, Python, tableau
  • Self-starter who is able conceptualize and execute projects without much input
  • Experience in working in an agile organization is a plus
  • Bachelors’ degree or equivalent in Math, Computer Science or equivalent
  • Fluent English

 

What we have to offer: we're a start-up embedded within an organization known for its high-caliber talent and excellent benefits. So, you get the best of both worlds - a fast paced, challenging environment with a genuine work-life balance and more.

 

That was a lot! Still interested? Now, that's the spirit we're looking for. Go ahead and apply today.

 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.


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Reference Code: 99622 

 


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