Internship: Machine Learning Engineer - Equity Selection (m/f/d)
at Ultramarin Capital GmbH
Berlin, Berlin, Germany -
| Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
|---|---|---|---|---|---|---|---|
| Immediate | 26 Oct, 2024 | Not Specified | 28 Jul, 2024 | N/A | Numpy,Financial Econometrics,Shell Scripting,Computer Science,Git,Machine Learning,Version Control,Pandas,Physics,Scikit Learn,Continuous Integration,Scipy,Mathematics,Python,Statistics | No | No |
Required Visa Status:
| Citizen | GC |
| US Citizen | Student Visa |
| H1B | CPT |
| OPT | H4 Spouse of H1B |
| GC Green Card |
Employment Type:
| Full Time | Part Time |
| Permanent | Independent - 1099 |
| Contract – W2 | C2H Independent |
| C2H W2 | Contract – Corp 2 Corp |
| Contract to Hire – Corp 2 Corp |
Description:
ABOUT THE POSITION
We are looking for an intern (all genders welcome) to join our dynamic team in Berlin, Germany.
YOUR SKILLSET
To thrive in this role, you should possess:
- A degree in a quantitative field such as Engineering, Mathematics, Physics, Computer Science, or Statistics.
- Strong programming skills in Python and experience with Scikit-Learn, SciPy, NumPy, and Pandas (knowledge of Polars is a plus).
- Experience in collaboratively developing Python code, including proficiency in tools for version control (Git), shell scripting (Zsh/Bash), and continuous integration (Bitbucket/GitHub).
- Ability to write maintainable and well-tested code using tools such as Pydantic and Pytest.
- A solid understanding of machine learning and applied statistics.
- Experience with financial econometrics and cross-sectional asset pricing is a bonus.
ABOUT US
We are a deep tech pioneer, providing AI-based investment solutions to our clients. Building on the best practices of quantitative asset management we tap the potential of machine learning for sustainable investments on capital market.
Our interdisciplinary team consists of experts in the fields of finance, computer science, software engineering, machine learning as well as mathematics, physics, and neuroscience. Ultramarin is embedded in the global AI community, through a close exchange with leading universities and as a member of Inquire Europe.
To date Ultramarin is one of the leading drivers for AI-based analyses and decision-making processes in asset management. Ultramarin has been founded in 2017, is headquartered in Berlin, with additional locations in Frankfurt and Munich, and is backed by leading international business angels and VCs
How To Apply:
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Responsibilities:
- A degree in a quantitative field such as Engineering, Mathematics, Physics, Computer Science, or Statistics.
- Strong programming skills in Python and experience with Scikit-Learn, SciPy, NumPy, and Pandas (knowledge of Polars is a plus).
- Experience in collaboratively developing Python code, including proficiency in tools for version control (Git), shell scripting (Zsh/Bash), and continuous integration (Bitbucket/GitHub).
- Ability to write maintainable and well-tested code using tools such as Pydantic and Pytest.
- A solid understanding of machine learning and applied statistics.
- Experience with financial econometrics and cross-sectional asset pricing is a bonus
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Application Programming / Maintenance
Software Engineering
Graduate
Computer Science, Engineering, Mathematics, Statistics
Proficient
1
Berlin, Germany
