Rafael Valero-Fernandez is a Lead Data Scientist and VP at Barclays with 10 years’ experience applying statistics, econometrics and engineering to people analytics and wellbeing. He builds data-driven products from surveys, HR systems and workplace analytics to surface causal insights about performance, diversity and Covid impacts, working closely with product managers and stakeholders to operationalize results. With a PhD in Economics and an academic background in Bayesian methods, VARs and A/B testing, he blends rigorous research methods with practical deployment (Python, R, Spark) and governance for fairness. He coaches and scales data science teams, driving standardization around tools and practices such as Git, CI, documentation and reproducible analysis. Prior roles in university research and e‑commerce recommendation systems give him a rare mix of academic depth and applied product delivery. Colleagues describe him as focused on measurable impact and on improving colleagues’ quality of life through thoughtful, evidence-based interventions.
10 years of coding experience
3 years of employment as a software developer
Doctor in Economics, Economía, Doctor in Economics, Economía at UA - Universidad de Alicante / Universitat d'Alacant
Master in Quantitative Economics, Econometrics and Quantitative Economics, Master in Quantitative Economics, Econometrics and Quantitative Economics at Universitat d'Alacant / Universidad de Alicante
Licenciado en Economía, Business/Managerial Economics, Licenciado en Economía, Business/Managerial Economics at Universidad de Murcia
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