Field insights and analysis

Wei Han is a Singapore-based data science lead. We talked about the challenges of integrating machine learning with traditional volatility analysis, the importance of peer review, and advice for analysts facing a steep learning curve.

Mika Koivisto is a Helsinki-based statistical modelling lead. We talked about learning from volatility model failures, peer review, and the technical improvements that come from honest reflection and critique.

Keira Macdonald is a Calgary-based market modelling associate. We discussed communicating volatility analytics to stakeholders, building team understanding, and the value of model transparency in the workplace.