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A leading insurance and asset management firm in Stuttgart seeks a data-driven professional for their Portfolio Management team. The role involves onboarding new investment portfolios, creating innovative data solutions, and coordinating integration projects. Candidates should have a Master’s degree in a relevant field and strong programming skills in languages like Python and Java. A flexible work model is offered along with various employee benefits.
As part of the Portfolio Management team of the Life/Health Germany hub you are playing a pivotal role in expanding our advisory services with data-driven analysis and innovative solutions. Your responsibilities include supporting the integration of new portfolios into the existing data architecture and implementing cloud-based solutions to extract insights and support the portfolio management. As a member of our cross-functional team you will have the unique opportunity to apply all your experience in data analysis, data engineering, computer science and other modern technologies to the optimal steering of our investment portfolios with over EUR 350bn AuM.
80759 | Asset & Investment Management | Professional | | Allianz Investment Management | Full-Time | Permanent
Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
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