Data Science and Machine Learning Position
vor 2 Wochen
We are seeking a highly motivated and skilled Machine Learning Intern to join our team at Allianz Global Investors Europe GmbH. As an intern, you will have the opportunity to work on exciting projects and contribute to the development of our proprietary in-house valuation framework.
Key Responsibilities- Support the development of machine learning and deep learning models for price and market data outlier detection
- Implement data preprocessing and feature engineering techniques
- Maintain and document machine-learning based processes
- Studies in Financial Mathematics, Physics, Computer Science, Software Engineering or comparable
- Strong programming experience in Python, including TensorFlow and Keras
- Working experience with SQL, Databricks, and Docker or Podman
- Knowledge of data science, statistics, and ability to interpret and analyze data
- Experience with machine learning and deep learning models
- Understanding of cloud computing and cloud-based technology, with experience in Azure Databricks a plus
- Strong interest in finance, high commitment, motivation, and willingness to take on responsibility
- Ability to work independently and collaboratively in a team environment
- Fluent in spoken and written English
- Flexible working from home (hybrid model/flexible working hours)
- Mental health and wellbeing programs (e.g. EGYM Wellpass)
- Mobility solutions (e.g. Subvention Jobticket, Deutschlandticket)
- Canteen subsidy
- Corporate Benefits
Allianz Global Investors is a leading global active asset manager. We invest for the long term and want to create value for clients every step of the way. We do this by being active – in how we partner with clients and anticipate their needs, and build solutions based on capabilities across public and private markets. Our focus on enhancing our clients' assets leads naturally to a commitment to sustainability for positive change. Our goal is to enhance the investment experience for clients, whatever their location or goals.
We respect difference and diversity and reward individual performance and teamwork. We encourage a collegial culture, that supports individual responsibility. We invest in the development of our employees to maximize the power of innovation.
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