Signal Engineering
Automated alpha models targeting structural inefficiencies via statistical inference and reproducible research pipelines.
Proprietary Trading · Research Lab
Lemma Quantitative is a proprietary trading firm and research laboratory. We engineer low-latency automated strategies against structural inefficiencies — backed by 15+ years of practitioner depth in quantitative research and systems engineering.
We engineer low-latency automated strategies that extract edge from structural market inefficiencies in liquid global FICC and equities — rigorous signal research and out-of-sample validation, not narrative.
Lemma Quantitative is built on 15+ years of direct experience in quantitative research, systems engineering, and live execution. That practitioner depth informs every alpha hypothesis, every simulation, and every line of production code.
We operate as a lean research lab: flat structure, full-stack ownership from signal to fill, and infrastructure designed for deterministic execution at scale.
Automated alpha models targeting structural inefficiencies via statistical inference and reproducible research pipelines.
Sub-microsecond tick-to-trade paths, co-located feed handlers, and deterministic order routing.
Automated kill switches, dynamic risk limits, and intraday margin monitoring on every strategy.
A deterministic pipeline — every stage instrumented, every assumption testable.
Model structural inefficiencies via statistical inference, microstructure analysis, and domain-specific feature engineering.
Purged cross-validation, walk-forward analysis, overfitting mitigation, transaction cost analysis (TCA), and market impact simulation before capital deployment.
Incremental capital scaling with predefined risk budgets, live slippage attribution, and execution quality monitoring.
Alpha decay detection, signal drift monitoring, and iterative model refinement against live market microstructure.
Statistical modeling fused with high-performance software architecture — raw market data in, systematic alpha out. Every component profiled, every path measured in microseconds.
Prop-desk risk architecture — automated controls, immutable audit trails, and real-time telemetry at every layer of the stack.
Automated kill switches, dynamic risk limits, and intraday margin monitoring enforced at the strategy and book level.
Isolated research and production environments, version-controlled deployments, and immutable change logs.
Compliance with applicable securities regulations, clearing requirements, and counterparty reporting obligations.
Redundant market data paths, automated failover, and documented runbooks for every production incident class.
We hire builders who want full-stack ownership — from alpha hypothesis to production fill. No bureaucracy between idea and deployment.
No layers between your research and the production book. Small team, direct impact, zero internal politics.
Own your signal end-to-end — hypothesis, simulation, deployment, and live P&L attribution. Your edge, your pipeline.
Impact measured in latency shaved, alpha captured, and systems shipped. Performance is the only promotion criteria.
Research collaborations, engineering inquiries, or partnership discussions — reach out directly.