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