Quantitative technology leadership
Building and leading institutional quantitative technology organizations, from initial architecture to production-scale operations.
The complete systematic stack for a fund: the platform that turns research into live positions, and the team that runs it.
Over twenty years I have designed, built and operated every layer, first inside large systematic groups and then for funds as an outside builder. The work starts with the first architecture decision and ends with a production operation that runs every day, under monitoring, with validation gates before anything trades real money.
Historical and real-time market data, analytics generation, point-in-time stores.
Backtesting, simulation, parameter selection and overfitting controls.
Construction, optimisation, sizing, risk budgets and limits.
Order management and execution over FIX, Interactive Brokers and FlexTrade.
Live monitoring, reconciliation, reporting, incident handling, on-call.
Python, React, AWS and GCP, on-premise estates, compiled library distribution.
Small senior teams rather than large ones. Heavy automation, including agentic tooling, so that the platform runs with few hands. Hard validation gates before a strategy touches capital. A direct working relationship with portfolio managers, because the platform exists to serve their research and their risk.
I have hired, mentored and led software engineers and quantitative researchers, and I have owned vendor selection, cloud and infrastructure budgets, information security and the compliance package that institutional due diligence requires.
Quantitative technology firm building and operating systematic trading infrastructure for hedge funds, family offices and institutional managers. Cloud research and execution platform, machine-learning strategy architecture across equities, futures, FX and ETFs.
Investment manager registered with the NFA as CPO and CTA. Multi-strategy quantitative portfolio for a family office on US ETFs, equities and futures; systematic macro, volatility and equity long/short research.
Trading systems on equities, ETFs and futures for a group running about $600M GMV in market-neutral and trend-following strategies.
Responsible for trading in the Korean and Chinese markets ($300M AUM). Co-managed the core system and analytics team; market impact models, parallelisation and model fitting across all traded markets.
Machine learning applied to financial markets; two published papers and an AI-based trading strategy, under an EU research grant.
If you are building or rebuilding a fund's systematic platform, I would like to hear about it.