Energy professional with analytical aptitude and proven track record of creating business value in high pressure environments through extracting insights from data and supporting management with data-driven decisions.
1. Quantitative analyst performing forecasting of renewable (wind) energy on the import team
2. Presented analysis of largest contributor to wind portfolio to senior management (British Telecoms UK wind farm with ~
60 MW capacity) including investigation into performance of machine learning forecast model; findings led to
improvement in forecast accuracy and multi-£’000 reduction in balancing costs
3. Implemented automation in Python of key operational process and produced reporting script enabling enhance oversight
of weekend energy trading performance; in regular use by trading team and senior management
Quantitative analyst performing forecasting of renewable (wind) energy on the import team
Presented analysis of largest contributor to wind portfolio to senior management (British Telecoms UK wind farm with ~60 MW capacity) including investigation into performance of machine learning forecast model; findings led to improvement in forecast accuracy and multi-£'000 reduction in balancing costs
Implemented automation in Python of key operational process and produced reporting script enabling enhance oversight of weekend energy trading performance; in regular use by trading team and senior management
Power analyst within British Gas Centrica managing £multi-million retail energy portfolio across business customer segments including SME, Enterprise, I&C
Performing operational processes including energy volume forecasts, purchasing & hedging volume, and monitoring daily market movements of power forward curve
Responsible for oversight of 'Variable Price Product' segment; reduced hedging cost by multi-£'000 through accurately identifying customer behaviour
Successfully project managed the implementation of brand new ‘Short Term’ forecast model and liaised with management and external stakeholders to deliver on time. Improved forecast accuracy over old model led to lower hedging costs by multi-£'000; developed Power BI dashboard to supplement oversight of performance post-project
Successfully conducted demand destruction analysis to inform senior management’s top down hedging strategy over winter 2023/24 using regression analysis
Supporting a team of analysts and managers in delivering research notes and market commentary; focused on interest rates, fixed income and FX markets
Key output involved creation of slide deck on regular basis for use by divisional head when briefing the Monetary Policy Committee before interest rate decisions
Using programming to enhance productivity; automation of an integral spreadsheet (used on a daily basis) led to significant time saving
Gathering market intelligence through meetings with external contacts; including Portfolio Managers, Traders, Strategists
Producing meeting write ups for internal circulation
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