I'm seeking full-time Quantitative Developer roles with prop trading firms, systematic trading teams, and trading technology companies. I also take on select consulting engagements where practical market knowledge and software engineering can create value.
These engagements below are for project-based consulting work. For full-time roles, contract-to-hire opportunities, or to discuss how I can contribute to your team long-term, let's connect.
Robust algorithmic trading systems — engineered from research to execution
"Quantitative Developer with 8 years of active market experience. A strategy is not considered robust simply because it produces an attractive backtest — systems are researched rigorously, tested honestly, and engineered to operate in the real world."
Quantitative development solutions built around one principle: validation before capital. Review the capabilities below, then explore engagement options.
From trading idea to explicit, testable rules
Turning discretionary trading logic and research hypotheses into explicit, testable rules and automated strategies. Every idea gets formalized so it can be validated — not just discussed.
From validating a single idea to a complete research-to-execution system. Every engagement starts with a free strategy call — quotes are scoped to your project.
For traders with an idea that needs rigorous validation before anything gets built. Turns your hypothesis into an honest verdict: worth building, or not.
The cheapest insurance you can buy: a rigorous no before you commit capital to a build.
For teams with a validated strategy ready to become a system. The full pipeline from research and backtesting through automated execution.
Most popular option. Takes a validated strategy and engineers it into a system that survives live markets.
Extend the system to trade another market
Real-time performance and risk dashboards
2-hour hands-on session explaining the system
End-to-end engagement: research, validation, execution, and risk — the entire journey from trading idea to live system.
Comprehensive engagement. From hypothesis to live trading with risk controls — the complete research-to-execution lifecycle.
Deep-dive optimization: latency, cost, and robustness analysis
Extra 2-hour session for knowledge transfer
| Capability | Research Sprint 2-3 weeks | Backtest-to-Execution 4-6 weeks | Complete System 8-12 weeks |
|---|---|---|---|
| Strategy formalization | |||
| Backtesting with realistic costs | |||
| Walk-forward & out-of-sample validation | |||
| Automated execution system | |||
| Broker API integration | |||
| Risk & capital protection controls | |||
| Monitoring & alerting | |||
| Hands-on walkthrough | |||
| Post-launch support | — | 2 weeks | 3 weeks + priority |
| Investment | Custom Quote | Custom Quote | Custom Quote |
Not sure which engagement fits your idea?
Schedule Free ConsultationSimple, transparent process from first contact to system delivery
Real feedback from teams I've worked with.
"Jose built our real-time market data pipeline processing WebSocket feeds from multiple exchanges. The system maintains high availability with low-latency ingestion while handling millions of daily updates. His integration of market data, social sentiment, and on-chain metrics into a unified platform powers our entire research infrastructure."
"Jose integrated our CRM, call tracking, and scheduling systems into a unified analytics dashboard. The real-time visibility into marketing attribution and conversion funnels helped us identify high-value referral sources and optimize our spend. Patient conversion improved from 28% to 35%, with a 15% increase in average appointment value."
"Jose architected our MLOps pipeline with automated feature engineering processing 2,500+ daily student interactions. The A/B testing framework and model monitoring reduced deployment time from 3 weeks to 3 days, while improving course completion rates by 15%. His GDPR-compliant framework was critical for our European expansion."
A structured methodology — from research to execution.
Turning your trading logic into explicit, testable rules — before a line of system code is written.
Walk-forward, out-of-sample, and sensitivity testing with realistic costs and execution constraints.
Building the execution layer: broker integration, error handling, alerting, and risk controls.
Containerized deployment with observability, alerting, and ongoing support.
Let's discuss your strategy — researched rigorously, tested honestly, and engineered for the real world.
Book a free 30-minute consultation to discuss your strategy or trading infrastructure
30 minutes of expert advice at no cost
Tailored approach for your specific needs
Usually responds within 2 hours