Bratislava, SK
Junior Analytics Specialist
About the role:
We are a team of data engineers & analytics professionals working on financial data. We have just moved closer into the financial world and are looking for a new colleague who is interested in supporting in explorative and other analytics projects. Our focus is not only on statistical modelling, but we also enjoy data engineering and bringing our models covering various aspects incl. GenAI into production at scale.
Whether you are more on the technical side with an interest in learning more about the world of investments or coming from the financial side with an interest in using technology to make better decisions, you could be a perfect fit.
If you join us, you will be able to participate in a variety of interesting initiatives. For example, you will:
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Help us improve climate risk related analytics to steer the portfolio towards a net zero pathway
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Dive into business problems and develop solutions that move the bottom-line result
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Support us in better understanding of performance drivers by developing and refining attribution and change explanation analytics
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Craft data pipelines to collect data from internal and external sources, enrich it and develop complex data products.
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Support many other exciting projects in a collaborative environment with colleagues from Swiss Re's international offices.
We are a highly skilled and diverse international team that solves analytics projects around the globe. Our passion to learn is what connects us. We love to learn new skills and will support you to do the same! We reserve time for studying and organize our own upskilling sessions as well.
About You:
In order to be successful in the role, you need to have these technical skills and knowledge:
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Knowledge of Python, Data modeling principles, basic machine learning / statistical modeling
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Financial Markets knowledge or eagerness to learn
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Ambition to build solutions which create the right insights
If you also have the following experience and interests, it is a huge plus:
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Experience in distributed computing/databases (e.g. Spark).
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Interest in working close to data scientists and domain experts.
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Interest in Natural Language Processing or GenAI
If you do not have some or any of those but are eager to learn them, get in contact with us.
Thank you for taking the time to read our job advertisement. We look forward to getting to know
For Slovakia the base salary range for this position is between EUR 1 600 and EUR 2 600 per month (for a full-time role). The specific salary offered considers:
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the requirements, scope, complexity and responsibilities of the role,
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the applicant’s own profile including education/qualifications, expertise, specialization, skills and experience.
In the situation where you significantly exceed the requirements, the offered salary may be above the advertised range.
In addition to your base salary, you may be eligible for additional rewards and benefits including an attractive performance-based bonus.
About Swiss Re
Swiss Re 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. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
Reference Code: 130011
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Data Modeler, Data Analyst, Analytics, Data, Management