Summary
Andreea-ingrid Cross is a Director and quantitative trading professional with a PhD in machine learning and mathematical optimisation, specialising in hardware-accelerated solutions such as FPGA implementation for advanced trading strategies. With 14 years of experience across UBS and Goldman Sachs, she has led AI-driven liquidity provision, quantitative modelling for rates and credit, and eFX spot principal trading. She combines deep software skills in Python, C/C++, Objective-C, R, Java and Matlab with practical production delivery from research to trading floor execution. Her background at Imperial College includes teaching and student leadership, reflecting strong communication and mentorship alongside technical depth. Notably, she bridges low-level hardware acceleration techniques with high-frequency market applications, bringing an uncommon mix of academic rigour and hands-on trading systems experience. Located in London, she excels at turning complex data science into deployable trading alpha.
14 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Imperial College London
C.N.L "Zinca Golescu"