Signal Engineering
Automated alpha models targeting structural inefficiencies via statistical inference and reproducible research pipelines.
Proprietary Trading · Research Lab
Signal generation.
Deterministic execution.
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.
15+ Yrs
Practitioner Depth
FICC & Equities
Liquid Global Markets
< 1.5μs
Tick-to-Trade Target
About Us
A trading firm and research laboratory
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, owning the stack from signal to fill, with infrastructure designed for deterministic execution at scale.
Execution Stack
Sub-microsecond tick-to-trade paths, co-located feed handlers, and deterministic order routing.
Risk Telemetry
Automated kill switches, dynamic risk limits, and intraday margin monitoring on every strategy.
Our Approach
Signal to fill
A deterministic pipeline — every stage instrumented, every assumption testable.
01
Hypothesis & Feature Design
Model structural inefficiencies via statistical inference, microstructure analysis, and domain-specific feature engineering.
02
Simulation & Validation
Purged cross-validation, walk-forward analysis, overfitting mitigation, transaction cost analysis (TCA), and market impact simulation before capital deployment.
03
Controlled Deployment
Incremental capital scaling with predefined risk budgets, live slippage attribution, and execution quality monitoring.
04
Production Refinement
Alpha decay detection, signal drift monitoring, and iterative model refinement against live market microstructure.
Technology
Low-latency by design
Statistical modeling fused with high-performance software architecture — raw market data in, systematic alpha out. Every component profiled, every path measured in microseconds.
- Tick-to-trade engine Kernel-bypass networking, co-located feed handlers, sub-μs order routing
- Real-time risk plane Live exposure, intraday margin, and dynamic limit enforcement across all books
- Automated kill switches Hard-coded circuit breakers on anomaly detection, breach events, and feed degradation
- Research sandbox Reproducible pipelines for tick data ingestion, feature stores, and impact simulation
Risk Infrastructure
Pre-trade to post-mortem
Prop-desk risk architecture — automated controls, immutable audit trails, and real-time telemetry at every layer of the stack.
Intraday Risk Controls
Automated kill switches, dynamic risk limits, and intraday margin monitoring enforced at the strategy and book level.
Operational Segregation
Isolated research and production environments, version-controlled deployments, and immutable change logs.
Regulatory & Reporting
Compliance with applicable securities regulations, clearing requirements, and counterparty reporting obligations.
Feed & Failover
Redundant market data paths, automated failover, and documented runbooks for every production incident class.