Date: 29 October 2024 at 6pm

Location: L6, Oxford University Mathematical Institute, OX2 6GG

Systematic Trading at GSA

Quantitative trading firms such as GSA capital use a combination of mathematical and computational tools to identify and act on profitable opportunities in the market. But unfortunately, being able to reliably predict the movement of a stock far from guarantees a profit. This talk will focus on the costs of trading in the market, the impact that a large trade causes, and the nuances of executing the "perfect" trade.

This talk will be suitable for students from a wide variety of fields, including mathematics, physics, computer science, economics, finance, computational linguistics, and machine learning.

Speaker:

Neeraja Bhamidipati is a quantitative researcher at GSA Capital and works in the Execution Services Group, where her primary focus is on researching ways to optimise execution costs. Before joining GSA Capital in 2021, she was a postdoctoral researcher at Princeton University. She has a background in applied mathematics and mechanical engineering, and a PhD in fluid mechanics from the University of Cambridge.

Audience:

We welcome students of all academic levels from the Computer Science, Engineering, Mathematics, Statistics and any other closely related disciplines. The event will start with a short presentation followed by informal chats with representatives from GSA over food and drinks.

Please register interest so we can gauge numbers for catering purposes.