Summary
Anurag Sodhi is an Associate Director in Quantitative Solutions based in Sydney with eight years of experience applying mathematical finance and machine learning to market and credit risk, derivatives pricing, and FRTB IMA model development. He combines deep theoretical training (MS in Math Finance, MEng in Data & Decision Science) with hands-on delivery across banking and commodities desks at Macquarie and Commonwealth Bank, and a strong track record at EY in model development, validation and AML analytics. Technically fluent in Monte Carlo, PDE/FDM, Fourier methods and a broad ML stack (TensorFlow/Keras, Scikit-Learn, H2O), he has implemented neural architectures (CNN/RNN/GCN/autoencoders) for production and research use-cases. His work spans end-to-end solutions—from data engineering and anomaly detection to model governance—and includes a research preprint and public code on GitHub, reflecting a blend of publishable research and practical deployment. Notably, he has bridged quant research with real-world risk frameworks (FRTB) and built graph-based and deep-learning proofs-of-concept for AML and time-series recovery that went beyond typical validation work.
8 years of coding experience
7 years of employment as a software developer
MS in Math Finance Computational Finance, MS in Math Finance Computational Finance at University of North Carolina at Charlotte
Master of Engineering (MEng) EM Data & Decision Science, Master of Engineering (MEng) EM Data & Decision Science at Duke University
B.E. Mechanical Engineering, B.E. Mechanical Engineering at Thapar Institute of Engineering & Technology
English, Hindi, Punjabi, Bengali