Quant Researcher - Machine Learning

Job Description

We are seeking a highly skilled Quantitative Researcher / Developer to join our HFT trading team. You’ll be working at the intersection of quantitative research , machine learning , and high-performance software engineering , helping to develop, implement, and optimize trading strategies deployed in global financial markets.

This is a hybrid research-engineering role where you'll collaborate with traders, researchers, and infrastructure engineers to create cutting-edge tools and models that drive our trading decisions.

Requirements

Design, implement, and optimize statistical and ML-based trading models .

Develop high-performance, low-latency code in C++ , Python , or Rust .

Analyze large-scale, high-frequency data to identify predictive signals (alpha).

Collaborate with research and trading teams to backtest and deploy strategies in live environments.

Build tools for feature engineering , data normalization , and model evaluation .

Improve execution algorithms for minimizing slippage, market impact, and latency.

Contribute to building robust infrastructure for automated model training and deployment .

Requirements

Open to travel