Machine Learning Engineer Python

Campusjaeger Published: November 9, 2020
Nuremberg, Germany
Job Type


Passionate about finding hidden patterns in financial market data? Fluent in NumPy, Pandas and tensorflow? Worked with Postgres or KDB+? If so, read on.We seek talented computer scientists with substantial experience in handling large, real-world data sets in cutting-edge research and production environments. The role is focused on analyzing financial data to uncover hidden patterns that can be profitably exploited.

Your Responsibilities
You are building large databases to efficiently store, retrieve, and process financial market data for research and production purposes.
You are using applied statistical learning to design and develop quantitative models for predicting price movements.
You are acquiring a sophisticated understanding of financial markets and of our research culture.
Your Profile
We are especially interested in hearing from gifted computer scientists who have exceptional coding, data analysis and problem-solving skills, while sharing our passion for discerning the signal from the noise in financial market data.

You have an advanced degree in computer science or similar technical discipline with very strong programming skills in Python and production level coding experience.
You hold substantial experience of processing real-world data, using relational databases and strong expertise in data science and predictive modeling techniques; solid background in statistics.
You bring self-motivation and drive to find solutions to the toughest questions – end-to-end.
You are a strong team player with a positive, collaborative approach to research and the desire to build and advance an inspiring company culture.
A background in finance is not necessary, but a strong scientific mindset and a genuine interest in what we do.

Interested? We are looking forward to your application via Campusjäger!

We are an artificial intelligence startup committed to discovering alpha in the world's data. We use the latest advances in deep learning and quantitative finance to create value for investors.

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