SystemData Intelligence Online UTC--:--:-- EngagementPrivate · Client Confidential
A·01 About Us

We build private data and intelligence
systems for serious clients.

Geo-Analytic is our operating platform for contract intelligence work, bespoke data acquisition, private monitoring workflows, geospatial systems, and licensed analytical capability. Its operational capability is built on finding fragmented information, acquiring it reliably, and transforming it into useful datasets, maps, feeds, research notes, and decision workflows.

The work can combine public web data, market information, economic releases, legal sources, company records, geospatial datasets, AIS maritime tracking, ADS-B aviation telemetry, satellite imagery, terrain and LiDAR data, CCTV inputs, crime intelligence, and World Bank trade data. The output is practical intelligence for clients who need hard-to-find information structured into something they can actually use.

Director Profile Quantitative systems · intelligence engineering
Geo-Analytic director profile outside the New York Stock Exchange
Professional Record Former quantitative analyst and systems architect with front-office finance, asset-management and production data-engineering experience.

Geo-Analytic is built on a track record across leading financial institutions, where highly unstructured and ambiguous datasets were turned into operational edge.

Financial Systems Track Record Selected firms

Nomura · Quantitative Developer

Contributed to derivatives pricing workflows inside a major Japanese multinational investment bank, sharpening financial mathematics and analytical engineering through C++ OTC and asset-pricing libraries used by quantitative teams supporting hedge fund and prop-shop clients.

Insight Investment / BNY Mellon · Quantitative Engineer

Worked in the London currency quant team building systems for portfolios with approximately $50B AUM exposure, extracting, processing and analysing datasets used by real-time models to update portfolio weight and currency exposure decisions.

Loomis Sayles · Quantitative Analyst

Architected and maintained core ESG data pipelines for a Boston fixed-income asset manager, building production infrastructure from scratch with direct compliance feeds supporting decisions in excess of $2B under 2024 US ESG reporting requirements. The system remains in firm use.

Education Quantitative foundation
University College London
University College London MSc Financial Risk Management · First Class
Imperial College London
Imperial College London MEng Electrical and Electronic Engineering · 2:1
Python Systems AI & Machine Learning Data Engineering Financial Risk & Trading Models Real-Time Data Pipelines Geospatial Intelligence Remote Sensing Production Architecture
Operating Style A·01

Direct, confidential and outcome-driven. We work with clients who need capability, not theatre: bespoke datasets, recurring feeds, target company investigations, route risk, asset monitoring, mining due diligence, trade shocks and OSINT workflows that can be used in real decisions.

Engagement Models A·02

We work as a private intelligence partner providing licensed deployments, recurring monitoring arrangements, strategic analysis briefs, bespoke dashboards and rapid-turnaround investigations where speed and discretion matter. We are also open to deeper embedded arrangements where our capability is required.

Technical Posture A·03

The system combines data engineering, web acquisition, geospatial engineering, AI-assisted analysis, image interpretation, economic exposure modelling, terrain intelligence and movement-data fusion without exposing the internal data stack or operational methods unnecessarily.