Financial AI
AI and machine-learning approaches to financial analysis, with research on corporate bankruptcy prediction and credit default modelling.
EXPERTISE / LONDON, UNITED KINGDOMWhere financial questions
Where financial questions
meet analytical methods.
FinSight’s areas of focus draw on its founder’s financial background, business education, applied machine-learning experience and academic research.
Machine Learning
Feature engineering, classification, deep learning, cross-validation and model evaluation, informed by both applied project work and academic research.
Financial Risk & Credit Risk
Analytical methods for understanding financial risk and credit outcomes, drawing on published work in bankruptcy and peer-to-peer credit default prediction.
Banking Analytics
Research on AI-powered banking customer engagement, alongside professional experience in head-office financial affairs.
Business Analytics
Connecting financial and business questions with data analysis, informed by an accounting background and postgraduate business education.
Data-Driven Decision Making
Developing research-led approaches that connect data, model evaluation and business context to financial and strategic analysis.
From methods to context
Understanding a business question requires more than selecting a model. FinSight’s developing approach connects financial context, data preparation and evaluation with the interpretation of analytical results.