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
MSc Financial Risk Management · First Class
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