Summary
Keith Mcnulty is a mathematician, psychometrician and analytics leader with nine years of focused experience building evidence-based talent measurement and people analytics at global firms. He has led talent assessment and organizational science initiatives at McKinsey and now heads Talent Assessment at Citadel, applying rigorous statistical programming in R and Python to psychometrics, machine learning and decision science. Author of two textbooks on regression and network methods in people analytics, he bridges deep theoretical training (PhD and First Class honours in Pure Mathematics from Imperial College) with practical implementation of assessment frameworks across the employee lifecycle. Known for bringing discrete mathematics and advanced inferential methods into HR systems, he combines scholarly rigor with product-minded delivery and open-source advocacy. An unexpected detail: alongside his analytics career he trained as an Imperial College/Royal College of Music scholar in early music, reflecting a long-standing commitment to disciplined practice and pattern recognition.
9 years of coding experience
20 years of employment as a software developer
Imperial College/Royal College of Music Scholar, Early Music, Imperial College/Royal College of Music Scholar, Early Music at Royal College of Music
Doctor of Philosophy (Ph.D.), Pure Mathematics, Diploma of Imperial College, Doctor of Philosophy (Ph.D.), Pure Mathematics, Diploma of Imperial College at Imperial College London