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Katia Babbar
Visiting Research Fellow, University of Oxford and Founder at AI Wealth Technologies

Profile

Katia has been Head e-FX Algorithmic Trading, MD at Lloyds Banking Group for the past 4 years leading teams of quantitative traders and data scientists. In this role, Katia explored market microstructure for market-making and trade execution, employing cutting edge Machine Learning techniques. Previously, Katia was Head of FX Quantitative Research at Lloyds for 8 years, building their entire derivatives analytics, pricing and risk management systems from the ground up. Katia started her career at UBS as a Quantitative Analyst in FX in 2001. She has also worked at Citi as a Senior Quant, building their correlation business and working across their complex exotics trading books.

Recently, Katia has founded AI Wealth Technologies. This start up looks at using AI in investment portfolio selection and allocation. Katia has also been recently appointed Visiting Research Fellow at the Mathematical Institute, University of Oxford.

Katia holds a BSc in Mathematics from UCL and PhD in Stochastic Analysis applied to Finance from Imperial College.

Katia Babbar's Network

Agenda Sessions

  • Diversity in quant finance: Examining the route to progress

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  • A Deep Learning Approach to Exotic Option Pricing under LSVol

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Speakers at this event