Senior Quant Developer – Stockhunt AI
RemoteStar · remotestar.io
AhmedabadSenior5+ yrs
The job in short
Quantitative developer for AI stock platform.
Details
- Found
- 22 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.
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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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