Statistical Modelling
Time-series analysis, feature research and hypothesis testing on market data.
BH PARTNERS develops systematic trading strategies across global financial markets, combining quantitative research, proprietary technology and disciplined execution.
Quantitative research and statistical modelling.
Opportunities across multiple markets and venues.
Systematic execution and infrastructure.
Risk management engineered into every layer.
The Trading System
Every stage produces evidence for the next. Nothing reaches production without passing through all six, and risk sits at the core rather than at the end.
Real-time data from multiple venues.
Real-time data from multiple venues.
Data processing, feature engineering and modelling.
Data processing, feature engineering and modelling.
Signal generation and opportunity identification.
Signal generation and opportunity identification.
Portfolio construction and strategy management.
Portfolio construction and strategy management.
Smart order routing and execution optimisation.
Smart order routing and execution optimisation.
Real-time risk monitoring and controls.
Real-time risk monitoring and controls.
Research
Time-series analysis, feature research and hypothesis testing on market data.
Order book dynamics, liquidity and order flow behaviour.
Cross-venue, triangular, spatial and relative-value research.
Volatility modelling, regime detection and dynamic adaptation.
Machine learning applied to structure in complex market data.
Routing, order types, latency and execution quality.
Global Markets
Systematic research across liquid digital-asset markets, with an emphasis on venues where data quality and depth support quantitative work.
Futures, perpetuals and related derivative markets, studied where they add information or expression to an existing research line.
Research into price fragmentation, liquidity distribution and execution opportunities across multiple trading venues.
Systematic approaches designed to isolate specific market inefficiencies rather than take directional exposure.
Technology
Systematic trading is an engineering problem before it is a market problem.
Real-time and historical market data ingestion, normalisation and quality checks, so research and production see the same view.
Quantitative research environment: feature engineering, modelling and backtesting, built so a result can be re-run and re-checked later.
Signal generation and the model-driven decision layer that turns research output into candidate actions.
Portfolio and strategy construction, plus the lifecycle management that governs how a strategy is deployed, adjusted and retired.
Automated execution, venue connectivity, routing and execution optimisation.
Pre-trade and real-time limits, exposure controls and kill switches.
Observability, alerting, strategy health and execution analytics.
Our Philosophy
We let the data set the direction.
Every strategy begins as a testable hypothesis.
Systematic execution removes discretionary variance.
Capital preservation is the first constraint.
Careers
We are looking for quantitative researchers, engineers and problem solvers working at the intersection of markets, mathematics and technology.
Get in Touch
We are always open to new ideas and meaningful collaborations.