Christoph Citp is a Principal and Data Scientist with over 16 years of hands-on experience and an 18-year technical trajectory stretching from C++ real-time trading systems to modern Bayesian machine learning and explainable AI. He has led global development and research teams at Tibra Capital and now runs Lambda Faktorie, applying probabilistic modelling and large-scale pattern detection to low-signal, high-noise domains across finance and defence. An Oxford MSc with distinction and additional executive training at Stanford, he combines rigorous academic foundations with practical delivery of low-latency systems and research-driven AI. His background includes signal assessment for military clients and multilingual capabilities (English/German), giving him uncommon domain insight for security-sensitive and mission-critical applications. Christoph’s current focus is on explainable, non–black-box AI and uncertainty quantification, translating advanced research into auditable, production-grade systems.
16 years of coding experience
16 years of employment as a software developer
Certificate, Mathematical Foundations for Financial Engineers, Certificate, Mathematical Foundations for Financial Engineers at University of California, Berkeley
Machine Learning and Neural Networks, Application of Machine Learning and Neural Networks to Finance, Attended, Machine Learning and Neural Networks, Application of Machine Learning and Neural Networks to Finance, Attended at Paul Wilmott (CQF) and Thijs van den Berg
Cyber Data Breach Compliance, Preparedness and Response, Cyber Breach Course,, Completed, Cyber Data Breach Compliance, Preparedness and Response, Cyber Breach Course,, Completed at Clariden Global Executive Program
Master of Science Awarded with Distinction, Software Engineering, Distinction, Master of Science Awarded with Distinction, Software Engineering, Distinction at University of Oxford
Translator Level II, German, Translator Level II, German at National Accreditation Authority for Translators and Interpreters, Canberra, Australia
Structural Equation Modelling with MPLUS, Structural Equation Modelling with MPLUS at Cambridge University
Bachelor of Science, Honours, Computer Science, GPA 3.88, Bachelor of Science, Honours, Computer Science, GPA 3.88 at University of Maryland Global Campus
Gaussian Process and Uncertainty Quantification Summer School, Causal Inference meets Probabalistic Models - Sheffield Machine Learning Research Network, Gaussian Process and Uncertainty Quantification Summer School, Causal Inference meets Probabalistic Models - Sheffield Machine Learning Research Network at The University of Sheffield
Military Linguist Rating (Department of the Army Form 330), English/German, Military Linguist Rating (Department of the Army Form 330), English/German at United States Army, Europe
The Innovative Technology Leader Program, Stanford Executive Graduate School of Business, The Innovative Technology Leader Program, Stanford Executive Graduate School of Business at Stanford University
Contributions:42 commits, 39 pushes, 1 branch in 4 days
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