Seven disciplines for institutional investors.
Each engagement begins with a structured conversation about your mandate, constraints and intent. What follows is rigorous research, transparent process and disciplined delivery.
Quantitative Research
Hypothesis-led, statistically honest research that turns ideas into testable, capacity-aware signals.
Request Discussion- Cross-validated signal research across equities, fixed income, FX and commodities
- Explicit handling of multiple-comparison risk and overfitting
- Capacity, turnover and cost modelling integrated from day one
- Documentation suitable for IC review and audit
- 01Mandate framing
- 02Data engineering
- 03Hypothesis testing
- 04Capacity & cost analysis
- 05Research report
Machine Learning Research
Production-grade ML pipelines for financial data — feature engineering, validation discipline, and honest assessment.
Request Discussion- Gradient-boosted trees, regularised linear models and modern encoders, applied with discipline
- Walk-forward and combinatorial purged cross-validation for time-series integrity
- NLP on filings, transcripts and news; entity-resolution on alt-data
- Live monitoring, champion-challenger evaluation and decay tracking
- 01Problem definition
- 02Feature pipeline
- 03Model & validation
- 04Capacity & monitoring
- 05Deployment
Portfolio Construction Research
Methodology and decision-support for risk-budgeted, regime-aware portfolios — built around horizon, drawdown tolerance and mandate. We provide the research; clients decide and execute.
Request Discussion- Risk parity, factor budgeting and Bayesian shrinkage methodology — not naive mean-variance
- Regime-aware tilts based on growth, inflation and policy axes
- Volatility targeting and drawdown budgeting as first-class research concerns
- Strategy diversification frameworks, not just asset diversification
- 01Mandate intake
- 02Universe & constraints
- 03Construction method
- 04Stress & scenario testing
- 05Research handoff
Systematic Strategy Research
Research and design of trend, carry, mean-reversion and cross-sectional strategies. We deliver the research, code references and documentation; clients implement and trade.
Request Discussion- Multi-asset trend and carry strategy research with sized risk budgets
- Cross-sectional equity strategy research with sector and factor neutralisation
- Mean-reversion and stat-arb design with realistic cost modelling
- Microstructure and TCA research to inform client-side execution
- 01Strategy design
- 02Risk sizing methodology
- 03Research documentation
- 04Client handoff
- 05Iteration & support
Market Intelligence
Institutional-grade synthesis of macro, micro and flow data. Signal over noise, always.
Request Discussion- Regime nowcasting: real-time growth, inflation and policy indicators
- Sector, factor and flow analytics tailored to client mandates
- Briefings written for senior decision-makers, not headline hunters
- Bespoke dashboards and recurring intelligence cadences
- 01Brief intake
- 02Data assembly
- 03Synthesis
- 04Editorial review
- 05Delivery cadence
Institutional Research Support
White-glove research support for internal investment teams that need additional bandwidth and rigour.
Request Discussion- Embedded researchers for time-bound mandates
- Methodology audits and second-opinion reviews
- Replication studies on internal or third-party research
- IC paper drafting and quantitative due-diligence support
- 01Scope
- 02Plan
- 03Execute
- 04Document
- 05Hand off
Bespoke Quant Solutions
Custom research engagements, model development and decision-support for sophisticated allocators.
Request Discussion- Tailored research engagements at mandate or programme scale
- Model design, calibration and validation research for in-house portfolios
- Risk management research frameworks aligned to specific constraints
- Confidentiality and IP protection by default
- 01Discovery
- 02Proposal
- 03Build
- 04Validate
- 05Deliver
Discuss a mandate with us.
Bring us a problem, a portfolio question or a research idea. We will respond within one business day.