Milestone-driven engagements
We structure every engagement to ensure clarity, efficiency, and measurable output. Whether you need a short diagnostic or an ongoing embedded capability, the process is transparent and milestone-driven.
Milestone-driven engagements
Whether you need a short diagnostic or an ongoing embedded capability, the process is transparent and milestone-driven. Every engagement produces tangible, documented output.
Assess
A structured assessment of your current analytics, data, and workflows — delivering a clear gap analysis and prioritised roadmap.
Build
Production-ready models, analytics, and pipelines, delivered in time-boxed sprints with weekly demonstrations and full documentation.
Embed
Ongoing R&D, model governance, code review, and knowledge transfer — operating as an extension of your team.
Train
Practitioner-led face-to-face programmes for desk staff, using real market data, with CPT/CPD-aligned tracking.
What a typical engagement looks like
A collaborative, iterative process that delivers real impact — from the first conversation to a long-term partnership.
Quantitative Diagnostics
We begin with a structured assessment of your current analytics, data environment, and workflows. The output is a documented analysis: a clear gap assessment, prioritised opportunities with estimated impact, and a recommended approach. This ensures that any subsequent work is targeted, efficient, and aligned with your objectives.
- You receive a standalone deliverable at the end of the engagement.
- Usable independently — regardless of whether you proceed further with us.
80.3% of enterprise AI projects deliver no business value — the root causes are organisational (scope, ownership, sponsorship), rarely the algorithms. A structured diagnostic is what catches that before budget is committed. — RAND 2025 / Gartner
Targeted Analytics Delivery
For defined requirements, we deliver production-ready quantitative solutions in time-boxed sprints. This includes pricing and risk models, backtesting engines, execution analytics, data pipelines, and more — built against your data and infrastructure.
- Delivery is iterative, with weekly demonstrations throughout.
- Full documentation provided at each milestone.
60–70% less cost and a ~2-week ramp versus 3–6 months for a full-time hire — the economics of bringing in senior delivery capacity on demand. — fractional-market data (fractional-CFO analogue, not quant-specific)
Quant Capability
For organisations that require continuous quantitative development, we provide an embedded engagement model. This includes ongoing R&D, model governance, code review, and knowledge transfer. We operate as an extension of your team — co-located or remote — scaling with your needs.
- Engagements can follow a build–operate–transfer model: we build and run the capability on your behalf.
- We then transition ownership, documentation, and run-books to your internal teams.
20–30% salary premium commanded by APAC quant / AI / ML / data roles, after a decade-long — and still-widening — supply gap. It's exactly why building a full in-house team is so slow and costly. — Selby Jennings
Your data. Your licences. Our analytics.
We build analytics using your data and your licensed sources. Our role is not to supply data — it is to ensure your analytics are built on the right foundations. Where you need guidance on data selection, we draw on deep familiarity with the providers that matter for your asset class and region.