Consulting

I have extensive experience of working with teams in large software enterprises / financial institutions and small idea stage startups. These range from SaaS, payments, fintech companies to investment banks, asset managers, hedge funds and private equity, covering all major asset clases (apart from crypto).

Here are some of the assignments I have successfully completed for different teams in the financial space:

Capital Markets

  • Automated data collection of market information from a number of exchanges.
  • Subseqeuent data cleaning, transformation and standartisation to enable interactive data visualisation and exploration.
  • Basic machine learning model to price interest rate derivatives, based on historic market information.
  • Analysis of portfolio managers’ historic performance for a number of asset classes.
  • Identification of return anomalies and style drifts, using machine learning classification algorithms.
  • Analysis of news articles on the internet, classification and aggregation of adverse news stories for further detailed analysis by fund’s analysts.
  • Extraction of information in the text and subsequent visualisation of related articles, as a knowledge graph.
  • European Machine Intelligence Landscape data analytics project on the funding statistics for AI first startups in Europe.
  • Data scraping of startup funding information from various online sources.
  • Data processing and storage in Google Sheets to enable manual editing by non-technical maintainers.
  • Data analytics and subsequent interactive visualisation of overall market trends using D3.js.

Financial Services

  • Development of an internal full stack financial analytics software applications.
  • Introduction of frameworks and tooling to support future development of analytical web applications on on-prem Windows Servers infrastructure.
  • Development of the credit lending strategy for new BNPL proposition among fintech’s existing customer base.
  • Quantitification of portfolio risks and customer segmentation, using existing customers’ historic purchasing data and app usage behaviour.
  • Modelling and forecasting total user activity and its impact on revenue / costs.
  • Breakdown of usage into a number of metrics/KPIs to enable better business optimisation and monitoring.

My day rate starts from £800 (outside IR35 or equivalent) - depending on the quantum / type of work.

I can guarantee a quick turnaround and high quality of work exceeding your expectations.

Feel free to organise an introductionary call with me to discuss your requirements.