Summary
Kirill Plekhanov is a quantitative researcher with eight years of experience translating advanced physics and quantum-machine-learning research into high-performance trading models for FX and e-trading desks. He holds a PhD in theoretical physics from Université Paris-Saclay and moved from condensed-matter and quantum computing research roles into applied quant work at Bank of America and Barclays, blending deep theoretical insight with production trading execution. At Quantinuum he bridged research and application as a senior applied scientist in quantum ML, an uncommon pathway that informs his data-driven approach to noisy, time-series problems. Known for regressing time series "batch by batch," he combines rigorous mathematical modeling with practical market intuition to build robust strategies for FX outrights, swaps, spot and NDF products. Based in the UK, he brings both academic rigor and hands-on e-trading experience to quantitative research and execution.
8 years of coding experience
4 years of employment as a software developer
Master's degree Theoretical Physics, Master's degree Theoretical Physics at Ecole normale supérieure
Bachelor's degree Physics, Bachelor's degree Physics at Université Grenoble Alpes
Doctor of Philosophy - PhD Theoretical Physics, Doctor of Philosophy - PhD Theoretical Physics at Université Paris-Saclay
French, Russian, English, Italian