Quantitative Developer, Research & ML Engineering, Systematic Macro
Core
Develop, optimize, and deploy classical and deep learning models on high-frequency market data to generate live trading signals within a systematic macro trading pod.
Role type
Senior IC quantitative developer (research & ML engineering)
Builds
Production ML models, distributed compute infrastructure, and scalable research-to-production pipelines
Domain
Systematic macro trading, high-frequency data, quantitative finance
Deliverable
production ML models
Required skills
Machine learning (classical and deep learning), Python (parallelism, distributed compute, C++ bindings), C++, Linux, distributed computing systems, data-intensive tooling, agentic AI systems (tool use, orchestration, evaluation)
Preferred skills
Backtesting experience, systematic trading strategy knowledge, market microstructure understanding, front-office model deployment experience
Technologies
Python, C++, Linux, distributed computing frameworks
Responsibilities
Design and train large-scale ML models for high-frequency data; enhance end-to-end ML pipelines including data processing and parameter search; improve signal development environment speed and reliability; partner with technology teams on shared platforms