Intern - Quantitative Research & Data Science (f/m/d)
München, DE, 80335
Allianz
As an international financial services provider, Allianz offers worldwide products and solutions in insurance and asset management.Join us. Let’s care for tomorrow.
This is a great moment to join Allianz Global Investors, as we are currently seeking to expand our energetic and engaged team with a highly motivated intern willing to explore new challenges in a dynamic environment. In this role, you will be responsible for the development of a Streamlit-based web application that leverages our API endpoints to provide users with valuable insights into our quantitative models. In addition, you will be conducting research on the topic of large (and small) language models to further enhance the application and implement cutting-edge functionality. We are looking for an intern (full-time) for a duration of 6 months, based in Munich.
What you will do
- Build a Streamlit-based web application that leverages our API endpoints to provide users with valuable insights into our quantitative models
- Conduct research in the area of language modelling with a focus on LLMs
- Fine-tune large and small language models on downstream tasks to ensure they are used to their full potential
- Build prototypes and test research ideas in Python.
What you bring
- Master level student in Data Science, Quantitative Finance, Financial Mathematics, Computed Science, or any other quantitative discipline
- Strong level of probability theory and statistics. Econometrics and time series analysis is a plus
- Strong level of Python programming and OOP design principles
- Strong understanding of modern ML architectures and training methods in the LLM context
- Experience with pytorch
- First experience with RAG and agentic workflows is a big plus (either via internships, university courses or private projects)
- First experience in the financial industry is a plus
- Fluent in 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
- … and so much more!
About Allianz Global Investors
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.
Putting our clients' needs first, behaving in a transparent way and treating people fairly means acting with integrity. We encourage a collegial culture, that supports individual responsibility. We invest in the development of our employees to maximize the power of innovation.
We at Allianz believe in a diverse and inclusive workforce, we are committed to the principles of Equal Employment Opportunity and to helping applicants with any disabilities. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation. Great to have you on board.
If you feel inspired to promote the active asset management experience, this is the place for you. Join our diverse, international, technology-enabled, and agile environment. Simply upload your CV in English to apply for this position! If you need support to navigate our websites or at any stage during your application, please send an email with your request to recruiting@allianzgi.com
58550 | Data & Analytics | Student | n.a. | Allianz Global Investors | Full-Time | Temporary
Tags: Agile APIs Architecture Econometrics Finance LLMs Machine Learning Mathematics OOP Probability theory Python PyTorch RAG Research Statistics Streamlit
Perks/benefits: Flex hours Health care
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