Summary
Saurabh Pradhan is a Risk Methodology Specialist at Deutsche Bank and a theoretical physicist with a decade of experience combining deep research in strongly correlated quantum systems with practical statistical data analysis. He holds a PhD in Theoretical and Mathematical Physics and has published and developed computational methods during postdoctoral tenures at TU Dortmund and Uppsala University. Proficient in Modern C++, C, and Python, he builds reproducible analysis pipelines using SciPy, NumPy, Matplotlib, scikit-learn and SQLite to translate complex models into risk methodologies. His background in many-body physics gives him a distinctive strength in modeling high-dimensional, correlated systems—useful for stress-testing and tail-risk quantification. Based in Berlin, he brings a researcher's rigor to production problems and a track record of turning abstract theory into deployable, data-driven solutions.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Theoretical and Mathematical Physics, 10, Doctor of Philosophy - PhD, Theoretical and Mathematical Physics, 10 at Harish-Chandra Research Institute
Bachelor of Science - BS, Theoretical and Mathematical Physics, 7, Bachelor of Science - BS, Theoretical and Mathematical Physics, 7 at Ramakrishna Mission Vidyamandira