Lead Quantitative Engineer/Architect
Core
Design, build, and maintain the core research and trading infrastructure for a systematic hedge fund, turning quantitative research ideas into production-ready systems.
Role type
Senior IC quantitative engineer/architect (systematic trading)
Builds
Production-ready research and trading systems, backtesting frameworks, data pipelines, and AI-enabled research tools
Domain
Quantitative finance / systematic trading
Deliverable
production ML models | product features | infrastructure
Required skills
Python, backend engineering, data structures and algorithms, software design, financial market data, time series analysis, backtesting frameworks, production system architecture, machine learning methods, feature engineering
Preferred skills
Hedge fund or prop trading firm experience, systematic trading strategies (equities, futures)
Technologies
Python, machine learning frameworks (regression, tree-based models, neural networks), data storage and ingestion tools
Responsibilities
Design and enhance systematic research and trading infrastructure; Implement and maintain backtesting frameworks and research pipelines; Productionize quantitative strategies and support live trading systems; Work with large financial datasets (market data, fundamentals, alternative data); Optimize performance, reliability, and scalability of research code; Build tools for data ingestion, cleaning, normalization, and storage; Collaborate with portfolio managers on model implementation and iteration; Assist with monitoring, debugging, and improving live strategies; Support the integration of machine learning techniques into quantitative research and signal development
Seniority
Senior, hands-on IC with technical lead responsibilities