Principal Quant Engineer
Core
Design and implement scalable, production-grade platforms and quant tooling to support quantitative research, signal construction, evaluation, and deployment across global asset universes.
Role type
Principal Quant Engineer (Infrastructure & ML)
Builds
Scalable quant tooling, signal computation platforms, and AI/ML workflows for systematic investing
Domain
Quantitative Finance / Systematic Investing
Deliverable
production ML models | infrastructure
Required skills
Python, Polars, system design, quantitative research platform architecture, machine learning lifecycle management, distributed execution, hyper-parameter optimization
Preferred skills
PyTorch, Optuna, MLflow, AI/agent coding tools
Technologies
Python, Polars, PyTorch, Optuna, MLflow
Responsibilities
Design and implement quant tooling for signal construction and evaluation; Lead AI-centric development of core platform capabilities; Ensure platform flexibility and integration with downstream portfolio processes; Incorporate ML/AI techniques into signal construction and efficacy evaluation; Provide architectural leadership for robust, scalable research workflows; Collaborate on data access and compute resource optimization.
Seniority
Principal, hands-on IC with architectural leadership
