Investment Data Science Internship
Frankfurt, Hessen, Germany · Vorübergehend
Bewerben Sie sich als Erste/r!
- Erfahrung
- Beliebig
- Gehalt
- —
- Stellenangebote
- 1
- Veröffentlicht
- vor 6 Stunden
- Arbeitsmodus
- Im Büro
- Ausbildung
- Jeder Absolvent
- Teilnahmeberechtigung
- Candidates currently pursuing relevant degrees and available for a 3 to 6-month onsite internship in Frankfurt, with basic German proficiency preferred.
- Wieder aufnehmen
- Bewerbung erforderlich
Wo Sie arbeiten werden
Stellenbeschreibung
About the Internship
Join ansa capital management GmbH as an Investment Data Science Intern in Frankfurt, where you will engage with the Portfolio Management Team to apply machine learning and data science techniques to challenges in financial markets. This role provides a unique opportunity to contribute to research projects focused on alpha generation and risk forecasting, gaining valuable experience in quantitative investment methodologies alongside seasoned professionals.
Roles and Responsibilities
- Collaborate closely with portfolio managers on specialized research projects leveraging machine learning models for predicting alpha and forecasting risk.
- Bring innovation and a results-driven attitude to enhance investment strategies.
- Receive guidance, mentorship, and feedback from experienced managers throughout the internship period.
Candidate Profile
- Currently pursuing a degree in relevant fields such as Data Science, Mathematics, Statistics, Physics, Economics, Finance, or similar disciplines.
- Proficient in Python with experience in contemporary data science libraries and frameworks.
- Knowledge or experience in creating custom neural networks using PyTorch is beneficial.
- Strong enthusiasm for capital market research and financial data modeling.
- Availability for a 3 to 6-month onsite internship at the Frankfurt office.
- Basic proficiency in German is preferred.
Why Work With ansa?
As an independent, owner-led investment boutique, ansa melds decades of quantitative investment knowledge with advanced data science. The working environment is entrepreneurial and performance-focused, encouraging ideas and valuing contributions from every team member.
Additional Information
This position is temporary and onsite, located in Frankfurt, Hesse, Germany. Candidates should be prepared to work in-person throughout the internship duration.
Application Process
Interested candidates should apply directly via email. Further company information is available on the company's website.