Jamie S. Fairey
I’m an Economics student at Royal Holloway, University of London, predicted a First Class. I’m interested in M&A, corporate finance, and investment research, and I enjoy using data and quantitative analysis to solve real problems. I’ve built financial models in Excel and run econometric analysis on macroeconomic trends, and I’m especially interested in how data-driven insights can shape valuation, market strategy, and portfolio performance.
Skills
Excel · Intermediate Financial Modelling · Econometrics · Data Analysis · Valuation · Corporate Finance · R · Market Research · Data Visualisation · Analytical Problem-Solving · Communication
Equity Research & Valuation Models
A selection of independently built valuation models combining financial analysis, market reasoning, and economic context.
All models and reports are created for demonstration purposes only and do not constitute investment advice or represent the views of any institution.
Project 1: Shell plc - Equity Research Model & Report
Built a five-year DCF valuation model (2025E–2029E) and accompanying analyst report estimating Shell’s intrinsic equity value under conservative energy price and cash-flow assumptions.
Focus: discounted cash flow modelling, valuation sensitivity analysis, and investment recommendation formulation.
View Model: Shell DCF Valuation (Excel)
Project 2: ASML Holding N.V. - Portfolio Alpha & Risk Attribution Model & Report
Built a five-year alpha attribution and regression model (2020–2025) analysing ASML’s systematic and idiosyncratic risk relative to the STOXX 600 Technology Index. The model quantifies performance drivers through beta (market exposure), alpha (abnormal return), and key portfolio efficiency metrics.
Focus: capital asset pricing (CAPM) regression, risk-adjusted performance attribution, and interpretation of Jensen’s alpha and beta.
View Model: ASML Portfolio Alpha & Risk Model (Excel)
Analytical Work Samples
A selection of University work combining data analysis, financial reasoning, and economic insight.
Assignment 1: Economic Growth & Development Analysis:
Used World Bank data and Excel to evaluate GDP per capita growth (2000–2015) across developed and developing economies.
Focus: CAGR calculations, chart-based data visualisation, and macroeconomic comparison.
Assignment 2: Regression-Based Institutional Analysis
Conducted regression analysis using OECD data to explore the relationship between inequality and obesity rates.
Focus: regression interpretation, statistical reasoning, and concise presentation of results.
View Extract: Econometric Study on Inequality & Obesity (PDF)
Projects
A selection of projects combining data analysis, financial reasoning, and economic insight.
Project 1: Jupiter AI - Applied AI Productivity Platform (2023-2024)
Designed and built an AI-assisted writing and automation platform integrating prompt templates, content generation, and a document editor. Developed with a focus on improving research efficiency and communication workflows through adaptive natural language generation.
Focus: applied machine learning, product design, and workflow automation.
Dashboard Screenshots:
Project 2: Promote Innovation — Data-Driven Marketing Agency (2022-2024)
Founded an email marketing agency focused on performance-based automation for e-commerce and software clients. Designed retention-driven campaigns and implemented segmentation strategies that optimised customer lifetime value and conversion rates using data insights.
Focus: entrepreneurship, marketing analytics, and data-driven strategy.
Landing page Screenshots:
