# Senior Quantitative Developer

> Avomind · Vietnam (Remote) · Full-time · Posted 2026-08-07

**Workplace:** remote

**Department:** External - Technology

## Description

**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.
-   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.

**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.

## Requirements

-   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.

## Benefits

-   Competitive salary.
-   Performance bonus.
-   Stock options/equity consideration.
-   Opportunity to work on a global AI trading platform.

## Apply

[Apply at Avomind](https://apply.workable.com/avomind/j/B1E01EDB74/apply)

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