Evolution of Risk Management

Financial institutions once accessed risk at the end of each business day which could leave them blind to emerging threats for up to 24 hours. Today's financial technology platforms assess risk in real-time, processing millions of transactions per second, whilst detecting fraud, providing regulatory compliance and managing market exposure with unprecedented speed and accuracy.

This presentation will discuss the three major phases of risk management evolution over the past 20 years: and the software and data engineering technology used by these:

1) End of day - overnight batch processing and T+1 reporting, where risk managers used reports showing yesterday's exposures a

2) Intraday  - hourly updates and incremental processing  in a batch-oriented architecture

3) Real time -  event streaming architecture and machine learning models that detect patterns humans can't see, and how these provide actionable insights for practitioners

THE SPEAKER:  DR SIONED BAKER

Dr Sioned Baker is a data engineer at Ki‑Insurance, the first fully digital, algorithmically powered syndicate operating within Lloyd’s of London. She has built software and data solutions across finance, insurtech, telecommunications, and the public sector, bringing a blend of technical depth and industry versatility to her work.

Before joining Ki, she contributed to the development and implementation of market risk and liquidity risk frameworks at Thomson Reuters. She has also worked as a consultant on projects spanning investment banking and hedge funds, supporting teams with complex analytical and engineering challenges.

Her academic background is in mathematics, having completed a PhD at Imperial College London focused on the perturbation theory of solitons in optical fibre. This foundation has shaped her career in designing mathematical and statistical software systems, leveraging cloud technologies and modern data tooling. She frequently collaborates with data scientists on machine learning initiatives aimed at quantifying and monitoring risk.