Senior Quant Developer – Stockhunt AI
remotestar-team · Gujarat, Ahmedabad, India ·
- Seniority
- Senior
- Employment
- Full time
- Experience
- 5+ years
- Visa sponsorship
- No
remotestar-team · Gujarat, Ahmedabad, India ·
Avomind · Vietnam
Citi · New York New York United States
Simcorp · Buenos Aires
Senior Quant Developer designs, builds, and deploys AI-driven trading strategies for stocks, futures, forex, and crypto using Python, machine learning, and low-latency systems.
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.
CWAN · Office - Mumbai