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Location: 

Bratislava, SK

 

Software Engineer (Predictive Modelling Solutions) 


About Swiss Re

The Swiss Re Group is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. It anticipates and manages risk – from natural catastrophes to climate change, from ageing populations to cybercrime. The aim of the Swiss Re Group is to enable society to thrive and progress, creating new opportunities and solutions for its clients. Headquartered in Zurich, Switzerland, where it was founded in 1863, the Swiss Re Group operates through a network of around 80 offices globally. It is organised into three Business Units, each with a distinct strategy and set of objectives contributing to the Group’s overall mission.

 

About the Role and Team

 

The Digital and Smart Analytics Service unit supports Swiss Re's business functions in generating insight from structured and unstructured data for their business and strategic initiatives (e.g., Big Data & Smart Analytics and growth programs).

 

Being part of the DSA service unit, the Predictive Modeling Solutions team builds and owns scalable end-to-end analytics solutions that enable data scientists to create and operate various kinds of analytics models, thus following ML/AIOps best practices.

 

The Opportunity:

Are you looking for applying your technical skills with the goal of building innovative analytics solutions?

 

To extend the existing Digital and Smart Analytics Solutions team we are seeking a motivated Software Engineer, who will contribute to deliver analytics solutions to productive environments, working in tight cooperation with peers, internal experts and business clients to support, organize and manage various activities within the team.

 

Key Tasks:

  • Lead small sized analytics projects and contribute to the end to end solution implementation
  • Validate/evaluate whether a system or architecture meets business needs
  • Proactively identify and deliver on continuous improvement of existing solutions
  • Ensure timely customer communication and coordination of follow-up activities
  • Build up sustainable relationships with key business and IT stakeholders in order to become a trusted partner in the field of data analytics

 

About You

 

Essentials:

  • Bachelor's, Master's or PhD degree in computer science or equivalent
  • 5+ years of professional experience in software development in an enterprise environment
  • Strong technical skills on Python, Spark and ideally Java
  • Experience in leading small sized projects, including stakeholder management
  • Experience with solution architecture design
  • Excellent verbal and written English skills

 

Behavioural Competences:

  • Team player with a ‘can do’ attitude
  • Ability to work in an interdisciplinary and multi-cultural environment
  • High degree of independence and proactive working style
  • Ability to work well on multiple priorities
  • Strong commitment to quality and timely delivery

 

Beneficial:

  • Understanding of (Re-) insurance and/or financial services information needs
  • Experience with Microsoft Azure cloud or similar cloud providers
  • Experience in data science

 

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, including gender identity or expression, sexual orientation, age, marital status, or disability status. Swiss Re offers modern work models and attractive work places that allow all employees to adapt to changing work preferences and life phases.

 

Minimum base salary for this job is from 1700 EUR gross/month/full time. Our offer to you may be higher based on your skills and experience and will include additional rewards and benefits.We are required by law to disclose basic wage component (minimum salary) for the advertised positions. 

 

We carefully consider your professional competencies, qualifications and experience in our compensation package and/or when offering you other positions. Our compensation philosophy is to pay fairly, also considering market situation and the value employees may bring to Swiss Re.

 

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: 87505