Offer summary

Qualifications:

Bachelor's degree in Computer Science, Statistics, or a related field., Proficiency in programming languages such as Python or R., Experience with data visualization tools like Tableau or Power BI., Strong analytical and problem-solving skills..

Key responsibilities:

Analyze large datasets to extract meaningful insights.

Develop predictive models and machine learning algorithms.

Collaborate with cross-functional teams to understand data needs.

Present findings and recommendations to stakeholders.

Decades of experience, over 130 investment managers and assets under management of over EUR 300 billion make us one of the most significant institutional players in the world of finance. Headquartered in Munich, and with our global offices in New York and Hong Kong, we offer institutional as well as private investors access to our investment expertise in all major asset classes and solutions geared to growth trends. Our versatile know-how in the field of public markets (including equities, bonds, currencies) and alternative assets (real estate, infrastructure, renewable energies and forestry & agriculture) together with our dedicated ESG focus complement each other in tailor-made solutions for our clients. The transfer of competence and knowledge with Munich Re supports us in seizing opportunities and identify risks prematurely. The incessantly dialogue between the interdisciplinary teams leads to holistic assessments of market movements and trends, which form the basis of our long-term performance success. Our core principle and mission is to focus on our clients' interests and objectives in order to achieve their financial goals together. Imprint: https://www.meag.com/imprint.html Legal Notice: https://www.meag.com/legal-notice.html Privacy: https://www.meag.com/privacy.html Privacy LinkedIn: By accessing this site, you agree to the following terms and conditions on LinkedIn: www.linkedin.com/legal/privacy-policy

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