Scaling Alternative Data: ML & NLP Infrastructure That Improved Trading Signals for a Top Global Quantitative Investment Firm

Industry: Finance, Hedge Funds

Client

Top Global Quantitative Investment Firm

Goal

To establish an alternative data team that enhances trading strategies through the use of machine learning and big data infrastructure.

Challenges

  • Integrating alternative data sources into the investment decision-making process.
  • Building a scalable machine learning infrastructure to handle large datasets efficiently.
  • Developing predictive models to support and enhance investment strategies.

Solution

Designed and built machine learning and big data infrastructure to support advanced analytics.

Initiated projects leveraging Natural Language Processing (NLP) and machine learning for extracting insights from unstructured data sources.

Developed predictive models and data pipelines that enabled more accurate and timely data-driven investment decisions.

Impact:

Enhanced the ability to process large alternative data sources, leading to improved trading strategies.

Implemented NLP and machine learning models that extracted valuable insights from textual data, providing a competitive edge in decision-making.

Strengthened data-driven investment processes by enabling faster and more accurate predictive insights.

*Case studies reflect work undertaken by our Heads of AI either during their tenure with Head of AI or in prior roles before they were part of the Head of AI network; they are provided for illustrative purposes only and are based on conversations with our Heads of AI.