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Asset Management IT Digital Talent Programme
Place of work
Karadžičova 12, Bratislava
Karadžičova 12, Bratislava
Contract type
full-time
full-time
Information about the position
Job description, responsibilities and duties
Is Data analytics your passion? Are you fresh out of the university? We invite you to apply for a rare opportunity to join a Digital Talent Program. Over an 18-month period, you will receive on-the-job training in your role and opportunities to rotate on projects in our main locations Bratislava, Zurich, London and New York.
We need you to have a young mind-set, strong interpersonal and technical skills and that you are eager to broaden your knowledge and expertise. Your background shall be PhD or Master degree in computer science/engineering, mathematics, statistics, physics or any other computationally intense disciplines. Ideally, you posses 0-3 years of professional experience in at least one of the following domains: data & text mining, machine learning and information visualisation.
In particular, this will involve:
• Generating business insights using Data Analytics and information visualisation methods to answer business problems
• Developing business solutions to exploit Analytics in order to move towards data centric innovation in alignment with business priorities and key targets
• Driving product and service enhancements to improve business value and service quality according to business needs and industry best practices
• Apply analytical methods and algorithms to build data products that streamline the process from data collection to insight generation
• Foster new data-driven approaches to generate business insight in order to address unanswered business problems in a proactive way
• Validate, interpret and present data findings to both an expert and non-expert audience
• Assess analytics scenarios by means of functional prototypes or pilot solutions
• Ensure further development of Swiss Re's analytics capabilities in interplay with system engineers, solution architects and internal business experts
We need you to have a young mind-set, strong interpersonal and technical skills and that you are eager to broaden your knowledge and expertise. Your background shall be PhD or Master degree in computer science/engineering, mathematics, statistics, physics or any other computationally intense disciplines. Ideally, you posses 0-3 years of professional experience in at least one of the following domains: data & text mining, machine learning and information visualisation.
In particular, this will involve:
• Generating business insights using Data Analytics and information visualisation methods to answer business problems
• Developing business solutions to exploit Analytics in order to move towards data centric innovation in alignment with business priorities and key targets
• Driving product and service enhancements to improve business value and service quality according to business needs and industry best practices
• Apply analytical methods and algorithms to build data products that streamline the process from data collection to insight generation
• Foster new data-driven approaches to generate business insight in order to address unanswered business problems in a proactive way
• Validate, interpret and present data findings to both an expert and non-expert audience
• Assess analytics scenarios by means of functional prototypes or pilot solutions
• Ensure further development of Swiss Re's analytics capabilities in interplay with system engineers, solution architects and internal business experts
Requirements for the employee
Candidates with education suit the position
University education (Master's degree)
Postgraduate (Doctorate)
Postgraduate (Doctorate)
Language skills
English - Advanced (C1)
The position is suitable for a fresh graduate
Yes
Personality requirements and skills
Master's or Ph.D. in a quantitative discipline: e.g., computer science, statistics, applied mathematics, physics, operational research, engineering including 0-3 years of experience in analytics (machine learning, statistics, data mining)
• Strong analytical & conceptual skills to understand key business needs and design tailored solutions to solve specific business problems
• Ability to communicate complex analysis results in a clear, precise and actionable manner
• Proficiency in at least two of the following programming languages: Python, Java or C++
• Fluency in relational databases/SQL
• Knowledge in the area of large data sets and Hadoop ecosystems (Spark) and HDFS or similar
• Basic abilities in DevOps (Bash, Unix)
• Eager to try out new technologies
• Excellent verbal and written English skills, ideally multi-lingual
• Flexibility to travel, also on short notice
• Ability to work in an interdisciplinary and multi-cultural environment, "can do" attitude
• High degree of flexibility, independent and proactive working style
Please apply with CV and cover letter.
• Strong analytical & conceptual skills to understand key business needs and design tailored solutions to solve specific business problems
• Ability to communicate complex analysis results in a clear, precise and actionable manner
• Proficiency in at least two of the following programming languages: Python, Java or C++
• Fluency in relational databases/SQL
• Knowledge in the area of large data sets and Hadoop ecosystems (Spark) and HDFS or similar
• Basic abilities in DevOps (Bash, Unix)
• Eager to try out new technologies
• Excellent verbal and written English skills, ideally multi-lingual
• Flexibility to travel, also on short notice
• Ability to work in an interdisciplinary and multi-cultural environment, "can do" attitude
• High degree of flexibility, independent and proactive working style
Please apply with CV and cover letter.
Advertiser
Brief description of the company
As the world's leading and most diversified global reinsurer, we offer as our core business financial services products that enable risk taking essential to enterprise and progress. Our company was founded in Zurich, Switzerland in 1863, and operates in more than 25 countries and provides its expertise and services to clients throughout the world. We combine financial strengths with experience, knowledge and creative thought to explore new opportunities in the interests of our clients, staff and shareholders.
Number of employees
1700 and more employees
Company address
Contact
ID: 3067944
Dátum zverejnenia: 26.5.2017
2017-05-26
lokalita: Bratislava Pozícia: Business Intelligence Specialist, IT Analyst, IT Consultant, Programmer, Software Engineer Spoločnosť: Swiss Re