Data Scientist Intern
vor 4 Wochen
We are seeking a highly motivated and talented Data Scientist Intern to join our Investment Operations team in Frankfurt. 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 the valuation framework, including implementation of market data and asset price data preprocessing
- Implement new machine learning and deep learning models for price and market data outlier detection
- Maintain and document machine-learning based processes
Requirements
- 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 in a team environment
- Fluent in spoken and written English
What We Offer
- Flexible working from home (hybrid model/flexible working hours)
- Mental health and wellbeing programs (EGYM Wellpass)
- Mobility solutions (Subvention Jobticket, Deutschlandticket etc.)
- Canteen subsidy
- Corporate Benefits
About Us
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 put our clients' needs first, behave in a transparent way and treat people fairly, acting with integrity. 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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