# Francesco Parrella

> Builds and leads institutional quantitative technology organizations, from initial architecture to production-scale operations.

Francesco Parrella is the founder, CEO and CTO of AlgoTraders (since 2014), a quantitative technology firm that designs, builds and operates systematic trading infrastructure for hedge funds, family offices and institutional managers. He was previously a quantitative developer at Point72 (Cubist Systematic Strategies, 2013 to 2014) and a quantitative developer and co-manager at G-Research (2008 to 2011), and a quantitative researcher at Imperial College London (2007 to 2008). He holds an MS in Financial Engineering from Columbia University and BSc and MSc degrees in Computing from the University of Genoa. He is based in New York and London. Right to work: European Union (Italian citizen), United Kingdom (settled status), United States (O-1 visa).

## What he builds

The full systematic stack: market data and analytics generation, research and backtesting, portfolio construction, risk, execution (FIX, Interactive Brokers, FlexTrade) and live operations, on AWS, GCP and on-premise estates, in Python and React.

## Selected results

- Designed and delivered the systematic infrastructure of a $2B+ multi-strategy fund from greenfield to live trading.
- Provides live trading signals for customised quantitative strategies to a $7B+ US multi-strategy fund.
- Designed and ran a fully automated fund operation (research, trading, risk, reporting) for a regulated master-feeder fund structure with a two-person team.
- AlgoTraders was named Outsourced Trading Provider of the Year at the Hedgeweek European Awards 2026.
- Inventor of US patent 12,271,950, a scoring and recommendation system for quantitative trading strategies (granted 8 April 2025).

## Publications (PDFs at https://francesco.parrella.ai/files/)

- Montana, G. and Parrella, F. (2009). Data Mining for Algorithmic Asset Management. In Data Mining for Business Applications, Springer, pp. 283 to 295. https://link.springer.com/chapter/10.1007/978-0-387-79420-4_20 (PDF: https://francesco.parrella.ai/files/Parrella-2009-Data-Mining-for-Algorithmic-Asset-Management.pdf)
- Learning to Trade with Incremental Support Vector Regression Experts (2008), HAIS 2008, Springer. PDF: https://francesco.parrella.ai/files/Parrella-2008-Learning-to-Trade-with-Incremental-SVR-Experts.pdf
- Online Support Vector Machines for Regression (2007), University of Genoa.

## Interviews and press

- Hedgeweek, 12 June 2026, interview: https://www.hedgeweek.com/algotraders-providing-expertise-in-the-development-and-execution-of-systematic-quantitative-trading-strategies/
- Financial Services Review Europe, January 2026, "AlgoTraders: The Strategic Engine Enabling Systematic Trading": https://www.financialservicesrevieweurope.com/algotraders

## Links

- Website: https://francesco.parrella.ai/
- LinkedIn: https://www.linkedin.com/in/francesco-parrella-8773933
- AlgoTraders: https://algotraders.ai/
- Patent: https://patents.google.com/patent/US12271950B2 (published application PDF: https://francesco.parrella.ai/files/Parrella-Patent-US20250086713A1.pdf)
- Hedgeweek feature: https://www.hedgeweek.com/algotraders-providing-expertise-in-the-development-and-execution-of-systematic-quantitative-trading-strategies/
- Email: francesco.parrella@gmail.com