Senior AI-Driven Quant Developer for Trading Platform

Avomind; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive salary

Performance bonus

Stock options/equity consideration

Global AI trading platform project

Job summary

Avomind is seeking a Senior Quantitative Developer to design, build, test, and deploy systematic trading strategies on an AI-driven platform. The role blends strong software engineering with quantitative finance and algorithmic trading expertise.

You will develop backtesting and execution frameworks, work with cross-asset data including crypto, and apply ML models to trading workflows while collaborating across engineering teams to productionize research.

Qualifications

• 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.

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.

Skills

Python

Pandas/Polars/NumPy

Backtesting frameworks

Quantitative finance

Portfolio optimization

Trading experience

PostgreSQL/TimescaleDB cloud

Git & CI/CD

Tools

Docker

Git

CI/CD

VectorBT

Backtrader

QuantConnect LEAN

PostgreSQL

TimescaleDB

Job description

Avomind is seeking a Senior Quantitative Developer to design, build, test, and deploy systematic trading strategies on an AI-driven platform. The role blends strong software engineering with quantitative finance and algorithmic trading expertise.

You will develop backtesting and execution frameworks, work with cross-asset data including crypto, and apply ML models to trading workflows while collaborating across engineering teams to productionize research.