Senior Quant Developer (Python / Algorithmic Trading)

About the project

Our client is a product company building an AI-driven trading and investing platform that covers equities, futures, forex and crypto. The team develops systematic strategies, portfolio models, copy-trading products and low-latency execution infrastructure.

What you'll do

• Research, build and maintain systematic trading strategies
• Develop backtesting, optimization and portfolio-construction frameworks
• Run walk-forward analysis, Monte Carlo simulations and other robustness checks
• Work with market data across equities, futures, forex and crypto
• Bring ML models into the research and signal-generation pipeline
• Move research into live trading together with the Java execution and platform teams

• Track live strategy performance and improve risk-adjusted returns

   

Requirements

• 5+ years of production Python development
• Strong command of Pandas, Polars, NumPy
• Hands-on experience with at least one backtesting framework — VectorBT, Backtrader or QuantConnect LEAN
• Solid statistics and quantitative finance background
• Practical experience with portfolio optimization and risk management
• Trading experience in at least one asset class: futures, forex, equities or crypto
• PostgreSQL / TimescaleDB, cloud environments

• Git, Docker, CI/CD

   

Nice to have

• ML stack: XGBoost, LightGBM, PyTorch
• FIX protocol
• Broker/venue integrations: Interactive Brokers, Alpaca, LMAX
• Java or C++ exposure

• Background in institutional trading systems

   

What success looks like in the first year

• A pipeline producing 100+ validated strategy candidates
• Production-grade research infrastructure the whole team relies on

• Measurably better portfolio Sharpe and lower drawdowns

   

We offer

• Competitive salary 
• Fully remote work with a distributed international team
• A product role on a global AI trading platform, not outsourcing ticket work