Three disciplines, one operator.
Engagements span board-level advisory, quantitative research, and production platform engineering. Every one is delivered hands-on by the founder.
Quant Engineering Built on 12 Years of Running Money
SignalSense quantitative work isn’t academic — it’s forged in live markets. From co-managing a $1.9bn systematic macro fund across rates, FX, and commodities to leading quant analytics globally at Morgan Stanley, every engagement draws on experience building alpha signals, risk frameworks, and execution systems that handled real capital at scale.
What we do
- Alpha signal research: from hypothesis generation through cross-validated backtest to live deployment, across multi-asset systematic strategies
- Systematic portfolio construction: multi-asset allocation, position sizing, and rebalancing frameworks
- Risk and performance attribution: factor models, causal risk decomposition, portfolio diagnostics
- Time-series and econometric modelling: GARCH, GMM, multi-horizon forecasting, regime detection
- Quantitative platform development: Python-based research and backtesting infrastructure
- Market microstructure analysis: execution optimisation, options flow analytics, CTA positioning
Ideal for
Hedge funds building systematic capabilities, asset managers upgrading quant infrastructure, trading desks needing specialized analytical support, and firms seeking interim quant expertise for specific projects.
AI Strategy That’s Been to Production — Not Just the Pitch Deck
Most AI strategy consulting stops at the whiteboard. SignalSense advisory is grounded in 20+ years of building and deploying production AI systems — from quantitative models managing billions in institutional assets to multi-agent architectures running live broker integrations. We help C-suite and board-level leaders cut through the hype to identify initiatives that drive measurable ROI—uncovering new alpha or reducing operational drag—while killing unviable projects before they burn capital.
What we do
- AI readiness assessments: honest evaluation of data, infrastructure, and organisational readiness to prevent wasted capital
- AI strategy and roadmap design: prioritised, phased plans tied to measurable business outcomes
- Multi-agent workflow advisory: identifying where agentic architectures and LLMs create real operational leverage
- Generative AI integration: practical LLM and RAG deployment strategies — not demos, production systems
- Workshop design and delivery: hands-on sessions for engineering teams on LLM deployment and agentic architecture
Ideal for
Investment firms evaluating AI adoption, fintech startups integrating AI into product, boards seeking independent technical counsel.
The Plumbing That Makes AI Actually Work
The agent is 20% of the work. The operating system around it — data pipelines, broker integrations, scheduling, memory, confirmation gates — is 80%. SignalSense builds production-grade multi-agent systems with Model Context Protocol (MCP) integrations, persistent memory layers, and human-in-the-loop architecture. We don’t just hand over a black box. We co-build alongside your engineering teams, ensuring seamless integration and internal capability transfer.
What we do
- Multi-agent system design: specialist agents with defined roles, tools, and decision boundaries
- MCP server development: standardised broker, data source, and platform integrations
- Human-in-the-loop architecture: confirmation gates, escalation rules, audit trails
- Local and hybrid inference design: cost-optimised deployment combining local and cloud models
- Platform modernisation: migrating legacy quant/research infrastructure to modern, agentic architectures
Ideal for
Firms building internal AI platforms, quant teams needing broker/data integrations, technology leaders designing agentic workflows.
Engagement models
Every project is different. We flex to match what you need.
Advisory Retainer
Ongoing strategic counsel for boards, C-suite, and technology leaders. Regular cadence, direct access.
Embedded Contract
Hands-on, full-time equivalent placement within your team for a defined period. Shipping code, not slide decks.
Project-Based
Defined scope, clear deliverables, fixed timeline. From signal research to platform builds.
Interim / Fractional
Part-time senior quant or AI leadership for firms that need experience without a permanent headcount.
Start with a conversation
No deck, no discovery process. Email directly to find out whether SignalSense is the right fit.