Zahi Hameed
Finance graduate from Bayes Business School with expertise in forecasting European natural gas prices using econometric and machine learning models
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About
Finance graduate from Bayes Business School with a First-Class dissertation on forecasting European natural gas prices using econometric and machine learning models, presented to Centrica's London team. Intermediate proficiency in Bloomberg Terminal, with advanced skills in Excel, Refinitiv Eikon and Kpler Terminal, and experience in transfer pricing, financial analysis, and market analysis.
Experience
Customer Success Intern at Kpler (2026-05 – Present)
- Trained extensively on Kpler's market intelligence platform and MarineTraffic data, gaining proficiency with the same tools used by trading and research desks.
- Shadowed 10+ Customer Success Managers across several sessions with industry professionals to understand how trading, risk, and research teams use Kpler's platform to inform decision-making.
- Analysed platform usage for 200+ client accounts, identified over 50 churn risks among tier-3 clients, and developed onboarding materials to close the gap and improve engagement.
Transfer Pricing Summer Intern at EY (2024-08 – 2024-09)
- Conducted benchmarking analysis across 5 different industries, using Excel to identify comparable companies and assess arm's-length pricing and profitability for client transactions.
- Identified transfer pricing risks and assisted in preparing documentation by applying OECD guidelines across cross-border transactions.
- Researched industry dynamics and company financials to assess their impact on client pricing policies across multiple sectors.
Education
BSc Finance (Hons) in Finance – Bayes Business School (Formerly CASS) (2022-09 – 2025-05)
