{"courseid":"54006","coursename":"Electronic Trading and Algorithmic Execution","coursecode":"ET","courseimage":"https://f.hubspotusercontent00.net/hubfs/8053800/Header%20Images/Group%202%20&%207.jpg","youwilllearn":"
  1. Details of electronic trading and its increasing usage across capital markets
  2. The latest innovations in algorithmic execution and analysis of best execution
  3. How to design market-making engines and build trading signals
  4. The new risks e-trading brings and the impact of regulations on the market microstructure
","when":"

3rd - 4th February 2025

3rd - 4th November 2025

","prices":"

£3200 (US$3300)

","whoshouldattend":"","priorknowledge":"

A basic understanding of capital markets and securities trading.

","teacherimage":"https://8053800.fs1.hubspotusercontent-na1.net/hubfs/8053800/Teachers/Katia%20Babbar.png","teachername":"Katia Babbar","teacherbio":"

Katia Babbar holds a BSc in Mathematics from University College London and a PhD in Stochastic Analysis from Imperial College. With over 20 years of experience in the financial industry in the City of London, she has held leadership positions at UBS, Citi, and Lloyds Banking Group, overseeing FX Derivatives Quant Research teams and e-FX Algo Trading as a Managing Director. As a Visiting Lecturer at the University of Oxford, Katia teaches courses on Statistics Financial Data Analysis and Decentralized Finance for the MSc in Mathematical and Computational Finance program. She is also a co-founder of Immersive Finance, a prominent FinTech company specializing in institutional-grade risk management and alpha generation for Digital Assets.

","brochureid":"3524","sampleid":"no sample"}