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Avomind

Senior Quantitative Developer

LocationVietnam
Work modeon-site
Typefull-time
DepartmentExternal - Technology
EquityIncluded
Company size201+ people
First seen1w ago
Last seen2d ago
The Company
Our client is a financial technology (FinTech) company specifically focused on bridging the gap between man and machine when it comes to investing. 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.
Our client aims to be the world’s most trusted AI trading platform where sophisticated market intelligence meets effortless execution, enabling every trader to compete with institutional-level strategies while maintaining full control over their investment decisions.
The Role
Our client is seeking a Senior Quantitative 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.
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Build backtesting, optimization, and portfolio construction frameworks.
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Implement walk-forward analysis, Monte Carlo testing, and robustness validation.
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Work with market data including equities, futures, forex, and crypto.
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Integrate machine learning models into trading workflows.
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Collaborate with Java execution and platform engineering teams.
•
Deploy research into production trading environments.
•
Monitor strategy performance and improve risk-adjusted returns.
Success Metrics
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Build 100+ validated strategy candidates annually.
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Develop production-grade research infrastructure.
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Improve portfolio Sharpe ratio and reduce drawdowns.
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Create scalable AI-driven trading models.
Requirements
•
5+ years Python development experience.
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Strong knowledge of Pandas, Polars, NumPy.
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Experience with VectorBT, Backtrader, or QuantConnect LEAN.
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Strong statistics and quantitative finance knowledge.
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Portfolio optimization and risk management experience.
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Experience with futures, forex, equities, or crypto trading.
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Knowledge of PostgreSQL, TimescaleDB, and cloud environments.
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Git, Docker, CI/CD experience.
Preferred Skills
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Machine learning (XGBoost, LightGBM, PyTorch).
•
FIX protocol knowledge.
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Interactive Brokers, Alpaca, or LMAX integrations.
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Java or C++ exposure.
•
Experience with institutional trading systems.
Benefits
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Competitive salary.
•
Performance bonus.
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Stock options/equity consideration.
•
Opportunity to work on a global AI trading platform.
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