Akhil has over 11 years of experience in the financial industry and works as a Financial Engineer in quantitative analytics at Barclays. He possesses expertise in statistics, artificial intelligence, machine learning, time series modeling, quantitative strategies, and programming skills in various languages. Akhil has developed quantitative models for businesses in FX, macroeconomics, credit, and futures. He is the inventor of a groundbreaking patent titled “Neuro-Symbolic AI for Fraud Detection.” Additionally, Akhil has authored several scholarly articles published in esteemed journals and conferences, focusing primarily on financial models for forecasting and anti-money laundering detection. His remarkable contributions to the field have earned him numerous accolades, including a Fellowship from the British Computing Society (BCS) and Senior Member status at IEEE. At IEEE, Akhil has participated as an industry judge at various events. He has judged several industry awards, including the Quantpedia Awards, Globee Awards, Stevie Awards in multiple categories, and ICBSC Awards. He holds a master’s degree in Financial Engineering from the HAAS School of Business at UC Berkeley and another in Financial Mathematics from the London School of Economics.
2025-02-13