Senior Quant DeveloperUrgent

As a Senior Quant Developer at Stockhunt AI, you will play a key role in building our AI-powered algorithmic trading platform across stocks, futures, forex, and cryptocurrency markets. You will work closely with our Quant Research, AI, and Platform Engineering teams to design, test, and deploy systematic trading strategies.

Your work will directly impact the performance of our trading platform by developing robust quantitative models, improving portfolio returns, integrating AI into trading workflows, and ensuring production-ready execution systems. This is an opportunity to contribute to a cutting-edge fintech product used for intelligent, data-driven investing.

2. Key Responsibilities

The successful candidate will be responsible for:

Designing, developing, and maintaining quantitative trading strategies.
Building backtesting, portfolio optimization, and research infrastructure.
Performing walk-forward analysis, Monte Carlo simulations, and robustness testing.
Working with market data across equities, futures, forex, and cryptocurrency markets.
Integrating machine learning models into trading strategies.
Collaborating with Java execution and platform engineering teams.
Deploying research models into production trading environments.
Monitoring live strategy performance and continuously improving risk-adjusted returns.
3. Requirements

We are looking for candidates with:

Required Qualifications

5+ years of professional Python development experience.
Strong expertise in Pandas, Polars, and NumPy.
Experience with quantitative trading frameworks such as VectorBT, Backtrader, or QuantConnect LEAN.
Solid understanding of statistics, quantitative finance, and algorithmic trading.
Experience in portfolio optimization and risk management.
Knowledge of financial markets including futures, forex, equities, or cryptocurrency.
Experience with PostgreSQL, TimescaleDB, cloud platforms, Git, Docker, and CI/CD pipelines.

Preferred Qualifications

Experience with machine learning frameworks such as XGBoost, LightGBM, or PyTorch.
Knowledge of the FIX protocol.
Experience integrating with Interactive Brokers, Alpaca, or LMAX APIs.
Exposure to Java or C++.
Experience working on institutional-grade trading systems.