Quantum computing applications

I have spent the last 10 years of my career heavily involved in risk management and fund management. When I first moved into risk management in 2010 from front-office technology at Barclays Capital, I noticed two key opportunities.

One, risk management was a data-hungry field, and two, technology had not penetrated the field well enough (in comparison to front office). Over the last decade, I have witnessed risk technology across different banks mature into what it is today.

Risk management and reporting in an investment bank involves a lot of data processing. The role of the field is to look at the financial positions that the firm has taken in the market and assess the risks around these. After the recession of 2008, banks were mandated to hold reserve capital that is calculated based on risks associated with a portfolio. The Value-at-Risk (VaR) methodology is used to calculate the worst possible loss a firm could make with a confidence...