Christopher Wallace is a Head of Data and Analytics with 11 years of experience applying quantitative modelling and data science to energy and commodities trading, currently leading data strategy and analytics at Powertica Commodities after scaling similar capabilities at InterGen. He has a strong track record of delivering measurable commercial value (>£10M/year) by building cross-functional teams and production-grade Azure/Python/Spark/Databricks platforms for ETL, MLOps and decision-support models. His background spans academia and industry—from a PhD in Nuclear Engineering and applied research in prognostics and knowledge-graph NLP to hands-on reliability, asset management and trading strategy development. Comfortable bridging stakeholders and engineers, he turns complex physical systems and noisy operational data into deployable analytics that directly impact trading and asset outcomes. A detail that sets him apart is his long-standing focus on translating novel research into production tools for high-value industrial assets, not just prototyping models.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Nuclear Engineering, Doctor of Philosophy (PhD) Nuclear Engineering at University of Strathclyde
Postgraduate Diploma Enterprise Management, Postgraduate Diploma Enterprise Management at Alliance Manchester Business School
Contributions:36 pushes, 2 branches in 1 year 2 months
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