About Allermuir Capital

We build AI-native analytics for investment professionals.

A London-based team of investors and engineers, and the team behind Hebrides.

Founded in 2021.

Allermuir Capital brings together expertise in finance, data science, and artificial intelligence. Our team has built models, run valuations, and managed portfolios, so we understand first-hand the pressures and limits of today’s workflows for investment professionals.

Founded in London: 2021Founded in London
Morgan Stanley and Goldman Sachs experience: MS · GSMorgan Stanley and Goldman Sachs experience
Investors and engineers: BothInvestors and engineers

Andrew Birrell on Allermuir Capital and Hebrides.

Mission

Reliable, trusted tools for professional investors.

Our mission is to give professional investors reliable, trusted tools that speed up manual workflows and bring consistency to every stage of the investment process.

Team

The people behind Hebrides.

Andrew Birrell

Co-founder · CEO

Five years at Morgan Stanley, where he underwrote over $26 billion in debt facilities and worked across complex financial modelling.

MA (Hons) Economics and Accountancy, University of Edinburgh

Anu Pohani

Co-founder · Non-Executive Director

Twenty years in financial services across Morgan Stanley, Goldman Sachs and private equity. Built teams as desk COO at Goldman Sachs and held leadership roles in asset management.

BA Economics and English, Columbia University

George Jackson

Chief Technology Officer

Previously developed low-latency pricing models at IG Group and designed delta-neutral trading strategies. Specialises in deep learning and quantitative methods for time series modelling.

BSc (Hons) Computer Science and Artificial Intelligence

Jordan Fink

Business Development

Three years as execution trader at Goldman Sachs, part of a team responsible for over 10% of European trading volume. Led business development at a multi-family office while qualifying as an investment adviser.

BSc (Hons) Economics & Politics, Warwick · MBA, London Business School

Core expertise

Deep domain knowledge across the entire investment lifecycle.

Four disciplines, one workspace, the foundation of every analysis Hebrides produces.

Machine learning

Sophisticated algorithms and models that learn from patterns in financial data to provide predictive insights and automated analysis capabilities.

Financial modelling

Comprehensive financial models that capture complex business dynamics, enabling accurate valuation and scenario analysis across diverse investment opportunities.

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