KEY FACT
High frequency trading( HFT) systems execute large numbers of trades in milliseconds or even microseconds
AI & ML
T H E C U T T I N G O F Q U A N T F I
KEY FACT
High frequency trading( HFT) systems execute large numbers of trades in milliseconds or even microseconds
Quantitative finance continues to evolve rapidly, constantly incorporating emerging technologies and novel data sources. Perhaps most transformative has been the integration of machine learning( ML) and AI, which enable quants to identify complex patterns in data, improve predictive accuracy and automate sophisticated trading strategies.
The applications are diverse and growing. ML algorithms now enhance credit risk scoring by analysing unconventional borrower data beyond traditional credit histories. They detect fraudulent transactions by identifying subtle anomalies that might escape human notice.
Some firms have even developed“ trading bots” that learn optimal strategies through reinforcement learning, adapting to changing market conditions without explicit reprogramming.
This shift toward adaptive models represents a significant evolution in the field. Modern quant approaches increasingly process vast and
108 June 2025