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Senior Quant Developer – Stockhunt AI

RemoteStar · remotestar.io
AhmedabadSenior5+ yrs
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The job in short

Quantitative developer for AI stock platform.

Details

Found
26 d ago · posted 2026-07-20
Location as listed
Ahmedabad, Gujarat, IN
Role
Software Engineer
Source
The company’s own careers site

Full 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.

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