Former GETCO, Geneva Trading, Auros Global, and Epoch Americas engineer building trading systems, broker integrations, market-data infrastructure, execution automation, and quantitative tooling.
I help traders, funds, and technical founders build or repair systems where reliability, execution correctness, and data quality matter.
My background is in trading infrastructure and quantitative systems at GETCO, Geneva Trading, Auros Global, and Epoch Americas. That work required software that could be tested, monitored, explained, and trusted when real money and real operations were at stake.
Today I help traders, funds, founders, and operating teams build or repair systems where the failure mode is not “we need more code.” It is bad data, fragmented workflows, unreliable integrations, unclear ownership, weak controls, or no record of what actually happened.
Common projects:
• Trading bots and execution systems
• Broker and exchange API integrations
• TradingView automation
• Market-data pipelines
• Backtesting and strategy validation
• Risk controls, order-state tracking, and position reconciliation
• CRM / client-data workflows
• API integrations and workflow automation
• Internal tools, dashboards, and operational reporting
• Evidence-gated systems that separate what works today from what still needs to be built
Recent work includes automated execution systems, DAS Trader-style risk automation, async fill handling, pre-trade risk controls, market-data infrastructure, backtesting frameworks, client-data workflows, and production API/worker systems.
Relevant proof:
• Production trading engine: single-writer order registry, idempotent fill handling, stale-fill rejection, and non-blocking async execution
• Quant research/backtesting framework independently audited A− / 92/100
• Market-data/API platform with ~68.6K lines of code, 1,230+ tests, 13 shipped products, and 42 API endpoints
• Systems with clear testing, validation, documentation, and handoff boundaries.
I work best with clients who need a system that is understandable, testable, monitored, and safe to operate—not just something that runs once.
I do not sell strategies, promise returns, or provide investment advice. I build the infrastructure, tests, controls, documentation, and execution paths needed to evaluate and operate workflows more reliably.
Matthew J. earns an estimated $5.9k/mo. That's 4.1× the typical freelancer and more than 99.63% of everyone we track.
Send me what you are building, which systems need to connect, where the workflow is breaking, and whether you already have code. I will tell you the cleanest path to test it, fix it, or get it into production.