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Quantitative Developer

8yearsofmarketexperience.
Tradingsystemsfromresearchtoliveexecution
8yearsofactivemarketexperience,focusedonturningtradinglogicintosystematic,validated,andexecutablesystems—fromresearchtoliveexecution
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Quantitative Development Built on Real-Money Experience

My quant development expertise comes from 8+ years of active market experience and a track record across high-stakes environments. Each role taught me critical skills I now apply to building robust algorithmic trading systems.

Available for Full-Time Quant Roles & Select Consulting Engagements
Interested in prop firms, systematic trading teams, and trading technology companies

How My Background Strengthens My Quant Development

Each career phase developed specific skills that make my trading systems more robust

2014–2017

Construction PM

Data Architecture

Managing construction projects taught me to design for failure modes and scale. I now apply this to trading infrastructure: planning for 3x load, calculating resource constraints, and building systems that don't collapse under volatility.

Quant Development Skill: Robust system architecture
Quant Development Skill: Capacity planning & cost optimization
2018–2022

Head of Trading & Quant Data Systems

Fintech Alca Group
8+ Years
Market Experience

Built and governed the firm's data infrastructure from scratch: real-time WebSocket ingestion, performance-critical pipelines with full auditability, and high-availability decision-support systems on PostgreSQL and TimescaleDB — for futures, FX, crypto, and equities.

Quant Development Skill: Real-time market data infrastructure
Quant Development Skill: Risk management & capital allocation
7+ YEARS • CURRENT

Quant Developer & Educator

DataWithJose · Self-employed

Productized proprietary trading algorithms end-to-end: API data ingestion → signal generation → automated execution with dynamic risk management. Custom bot solutions for private clients across futures, FX, crypto, and equities — engineered for high availability and observability.

Core Skills: Python, C# (NinjaScript), Pine Script, Docker
Specialization: Validation-first research → live execution

Bottom line: 8+ years of market experience building systems where failure isn't an option — from research to execution.

Explore Trading Systems & Research Infrastructure

Free Quant Development Resources

Get battle-tested tools and templates for building robust algorithmic trading systems

Algorithmic Trading System Checklist

Complete 47-point checklist to ensure your trading systems are production-ready before real capital is at risk

  • Avoid common system failures
  • Reduce time from research to execution
  • Improve system robustness
  • Save debugging time and losses

Trading Infrastructure ROI Calculator

Calculate the exact ROI of your quant infrastructure investments in minutes

  • Estimate cost savings potential
  • Justify infrastructure budget
  • Compare research vs execution priorities
  • Support stakeholder presentations

Trading System Architecture Templates

5 proven architecture templates for research, backtesting, and live execution stacks

  • Accelerate architecture planning
  • Proven research-to-execution patterns
  • Cost-conscious configurations
  • Implementation guidance included
Popular resources
Used by quant teams
No spam guarantee

Quantify the Cost of Unreliable Trading Infrastructure

See exactly how much downtime and bad data could be costing your trading operation

Your Current Situation

$
$

Your Potential Savings

Monthly Cost Savings
$0
25% infrastructure cost reduction
Time Savings Value
$0
50% reduction in maintenance time
Downtime Cost Avoided
$0
80% downtime reduction
TOTAL ANNUAL ROI
$0
Payback in 0.0 months
Schedule ROI Discussion

* Results are estimates based on typical improvements seen in similar projects. Actual results may vary depending on your specific infrastructure and requirements.

Ready to Build Robust Trading Systems?

Let's discuss your strategy and create a system that survives real money

Efficient Delivery

Most projects completed in 6-10 weeks

Robustness Focus

Systems built to survive real markets

Ongoing Support

Post-launch support and documentation

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8+ satisfied clients
Professional service
Usually responds within 4 hours

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Technologies I Work With

Ready to Talk Quant?

Let's discuss how we can build robust algorithmic trading systems together — from research to execution.

Usually responds within 24 hours
Free initial consultation
8 years active market experience

Schedule Call

Free 30-min consultation

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Your Quant Development Partner

Quantitative Developer building robust algorithmic trading systems — from research to execution. Backtesting infrastructure, live trading systems, and risk management backed by real-market experience.

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For full-time Quantitative Developer opportunities or consulting engagements, let's discuss building robust algorithmic trading systems — from research to execution.

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© 2026 Jose Acosta. All rights reserved.
Design & Development by
Jose Acosta

What I Build

Robust algorithmic trading systems — engineered from research to execution. Not just strategies: the full infrastructure that takes an idea from hypothesis to live trading with real capital.

Live-Tested | Walk-Forward Validated | Risk-Controlled

Mean Reversion OU Trading System

Ornstein-Uhlenbeck mean reversion strategy with ML-driven parameter optimization — taken from research to live trading with real capital. In trading, a strategy is only as good as the system executing it.

Research → Backtest → Execution

Research pipeline: Regime classification + OU parameter estimation on validated market data

Backtesting: Overfit-resistant validation with realistic execution modeling

Execution & risk: Automated trading with position sizing, stop-loss management, and drawdown controls

Monitoring: Performance analytics and risk dashboards watching every position in production

PythonNumPypandasSciPyTimescaleDBRedisDocker

Key Features

Mean reversion on OU process
ML parameter optimization
Real-time execution & risk management
Walk-Forward
Validation
Out-of-Sample
Tested
Clean Data → Valid Backtests

Research & Backtesting Infrastructure

Backtests are only as good as the data behind them. I build market data pipelines and validation frameworks that make research trustworthy — and fast enough to iterate on ideas daily.

Python, PostgreSQL, Airflow
Reproducible research workflows
Data quality gates & validation
Real-Money Trading Systems

Live Execution & Risk Systems

Built end-to-end systems powering algorithmic trading with real capital. When your pipeline fails at market open, you lose money every second — that taught me to build systems that stay up.

WebSockets, Kafka, TimescaleDB
Low-latency market data ingestion
Production-tested with real capital

Why Work With Me?

I build trading systems where failure has real consequences:

Robustness First

Systems designed to survive the market — with failover, quality gates, and monitoring from day one

Research-to-Execution Focus

Ideas validated rigorously before a single dollar is at risk — then executed with discipline

Validation-First Perspective

8 years of active market experience — walk-forward, out-of-sample, and sensitivity testing before anything goes live

The difference: an attractive backtest is cheap. I build systems that stay honest when assumptions change — and survive live markets.

Explore Trading SystemsSchedule Introduction Call

Ready to build trading systems that work when real money is on the line?

About Me

Quantitative Developer with 8 years of active market experience — focused on turning trading logic into systematic, validated, and executable systems, from research to live execution.

I spent four years in construction project management learning how systems fail under pressure. Then came the markets: from building a fintech group's trading data infrastructure from the ground up, to productizing my own algorithms and automating client strategies across futures, FX, crypto, and equities.

The pattern is clear: I've always worked where reliability isn't optional and every decision is backed by data. Construction taught me to design for failure modes. Trading taught me that validation is non-negotiable — a strategy is not robust simply because it produces an attractive backtest.

I specialize in quantitative research, backtesting workflows, and automated execution — testing strategies out-of-sample, with walk-forward validation, sensitivity analysis, realistic costs, and risk controls built in.

Open to full-time Quantitative Developer roles and select consulting engagements — with prop firms, systematic trading teams, and trading technology companies.

Let's Work TogetherView Trading Systems
Jose Acosta - Quantitative Developer
Git
Jupyter
pandas
AWS
Azure
Airflow
dbt
PySpark
Snowflake
PostgreSQL
Git
Jupyter
pandas
AWS
Azure
Airflow
dbt
PySpark
Snowflake
PostgreSQL
Python
University of Michigan
scikit-learn
Pytest
PySpark
AWS
Azure
Airflow
dbt
Snowflake
PostgreSQL
Python
University of Michigan
scikit-learn
Pytest
PySpark
AWS
Azure
Airflow
dbt
Snowflake
PostgreSQL