Senior Quant Developer – Stockhunt AI
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Senior Quant Developer – Stockhunt AI
Location
Ahmedabad, Gujarat
Experience
Senior
Posted
Jul 22, 2026
Apply by
August 21, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Home
Job Description
Job Description
Role: Senior Quant Developer – AI
Location: Remote / Kraków / Ho Chi Minh City / Ahmedabad
Employment Type: Full-Time
Experience: 5+ Years
About Client
They are building an AI-driven trading and investing platform covering stocks, futures,
forex, and crypto. They develop quantitative strategies, portfolio models, copy trading solutions, and low-latency execution systems.
Role Overview
We are seeking a Senior Quant Developer to design, build, test, and deploy systematic trading strategies. The ideal candidate combines strong software engineering skills with quantitative finance and algorithmic trading experience.
Key Responsibilities
- Develop and maintain quantitative trading strategies.
- Build backtesting, optimization, and portfolio construction frameworks.
- Implement walk-forward analysis, Monte Carlo testing, and robustness validation.
- Work with market data including equities, futures, forex, and crypto.
- Integrate machine learning models into trading workflows.
- Collaborate with Java execution and platform engineering teams.
- Deploy research into production trading environments.
- Monitor strategy performance and improve risk-adjusted returns.
Required Skills
- 5+ years Python development experience
- Strong knowledge of Pandas, Polars, NumPy
- Experience with VectorBT, Backtrader, or QuantConnect LEAN
- Strong statistics and quantitative finance knowledge
- Portfolio optimization and risk management experience
- Experience with futures, forex, equities, or crypto trading
- Knowledge of PostgreSQL, TimescaleDB, and cloud environments
- Git, Docker, CI/CD experience
Preferred Skills
- Machine learning (XGBoost, LightGBM, PyTorch)
- FIX protocol knowledge
- Interactive Brokers, Alpaca, or LMAX integrations
- Java or C++ exposure
- Experience with institutional trading systems
Success Metrics
- Build 100+ validated strategy candidates annually
- Develop production-grade research infrastructure
- Improve portfolio Sharpe ratio and reduce drawdowns
- Create scalable AI-driven trading models
Compensation
- Competitive salary,
- performance bonus,
- stock options/equity consideration,
- opportunity to work on a global AI trading platform.
Key Responsibilities
- Develop and maintain quantitative trading strategies.
- Build backtesting, optimization, and portfolio construction frameworks.
- Implement walk-forward analysis, Monte Carlo testing, and robustness validation.
- Work with market data including equities, futures, forex, and crypto.
- Integrate machine learning models into trading workflows.
- Collaborate with Java execution and platform engineering teams.
- Deploy research into production trading environments.
- Monitor strategy performance and improve risk-adjusted returns.
Skills Required
PythonPandasPolarsNumPyVectorBTBacktraderQuantConnect LEANStatisticsQuantitative FinancePortfolio OptimizationRisk ManagementPostgreSQLTimescaleDBGitDockerCI/CDMachine LearningXGBoostLightGBMPyTorchFIX ProtocolInteractive BrokersAlpacaLMAXJavaC++
Benefits
- Competitive salary
- Performance bonus
- Stock options/equity consideration
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