Work on AI tech for open financial markets

Real-time analysis of financial markets

We are building a tool to continuously sift through enormous amounts of data from a broad range of sources. We use machine learning trained on a decade of historical data, to analyse, compare and make connections in the data. Think of it as having a room full of quantitative analysts working for you, day and night.

Work on cutting-edge technology

Developing the Exabel Platform is a uniquely challenging project, and we put a lot of care into building robust and elegant solutions.

We combine sophisticated mathematics with new machine learning approaches, to build an AI system specifically designed to handle complex, time-varying data sets.

Some of what we are working on:

• Building a scalable software infrastructure in the Google Cloud to apply machine learning techniques on huge datasets of stock prices, fundamental and alternative data sources;
• Using and improving state-of-the-art machine learning methods for time series analysis, predictions and classification, including fully automated pipelines with hyperparameter optimization;
• Fast mathematical optimization of portfolios for maximizing returns while minimizing risks;
• Fast backtesting of trading strategies and prediction models;
• Development of a factor model covering global stock market for performance attribution and risk control;
• Integrating with Big Data vendors providing various alternative data sets for use in the  finance domain;
• A web front-end with advanced modelling and visualisation tools;
• UX design for conveying complex analytical insights, and enabling non-technical human experts to build machine learning algorithms.