Frederik Rørbech
Data Scientist
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolFrederik Rørbech is a data scientist with 12 years of experience applying mathematical modelling and computation to finance, risk and IT transformation projects. He has led small technical teams and delivered production-grade statistical models that materially improved bank P&L and automated credit decisioning at scale. His background spans front-office quant work, consulting, and enterprise data science—combining hands-on coding (Python, TensorFlow, PySpark, SQL) with DevOps and architecture improvements across Azure and legacy systems. Notable strengths include turning complex regulatory and legacy-system challenges into automated, testable pipelines and building RPA/testing tools to bridge hard-to-interface systems. Now based in Zurich and currently at Google, he brings a pragmatic blend of rigorous quantitative methods and product-oriented delivery. Colleagues describe him as open-minded, quick to learn new technologies, and focused on building practical solutions that stick.
12 years of coding experience
3 years of employment as a software developer
Master of Science in Engineering (MSc Eng.), Mathematical Modelling and Computation, Master of Science in Engineering (MSc Eng.), Mathematical Modelling and Computation at Danmarks Tekniske UniversitetHigher Commercial Examination programme (HHX), Business Science, Higher Commercial Examination programme (HHX), Business Science at Niels Brock
Danish, English, German
Github Skills (11)
deep-learning8
machine-learning8
python8
gpu8
numpy7
neural-network6
tensorflow6
acceleration3
tensor3
gpu-acceleration3
autograd2
Programming languages (2)
Github contributions (5)
FrederikWR/FrederikWR.github.io
Jun 2016 - Jun 2016
Contributions:42 pushes, 1 branch in 18 days
FrederikWR/pisa_2022_analysis
Jan 2024 - May 2024
Contributions:2 PRs, 5 pushes, 1 branch in 3 months
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