Keith McNulty

Keith McNulty Keith McNulty is an influencer

Leader in Technology, Organizational Sciences and Analytics | Mathematician, Statistician and Psychometrician | Author and Teacher | Coder, Engineer, Architect

United Kingdom
71K followers 500+ connections

About

Mathematician, statistician, analytics leader, Industrial-Organizational Psychologist, Psychometrician and Data Scientist in R and Python. Author of textbooks Handbook of Regression Modeling (2021) and Handbook of Graphs and Networks (2022). Evidence-based practitioner with an extensive background in Mathematics, Statistical Programming, I-O Psych, Machine Learning and Artificial Intelligence. Passionate about future of work, rigorous quantitative methods in research and open source knowledge. Opinions expressed are entirely personal.

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Experience

  • McKinsey & Company

    McKinsey & Company

    9 years

    • McKinsey & Company Graphic

      Global Leader, Technology and Analytics

      McKinsey & Company

      - Present 1 year 11 months

      United Kingdom

      Leading the global people portfolio of technology and analytics.

    • McKinsey & Company Graphic

      Global Leader, Talent Science and Analytics

      McKinsey & Company

      - 2 years 6 months

      Leading all aspects of the scientific measurement and analytics of talent and people globally including data science, psychometrics, engineering, UX, NLP, AI, automation and technology enablement.

    • McKinsey & Company Graphic

      Global Director, Talent Science and Analytics

      McKinsey & Company

      - 1 year 7 months

      Responsible for the introduction and implementation of scientific and evidence-based practices in the areas of people and talent. Including psychometrics, decision science, inferential and predictive statistics and machine learning, engineering and technology.

    • McKinsey & Company Graphic

      Global Director, Analytics and Measurement

      McKinsey & Company

      - 5 years

      Responsible for all aspects of measurement, intelligence, analytics and insight at all stages of the employee lifecycle from job application to alumnus. Including performance assessment and measurement, workforce planning, advanced and predictive analytics, automation, data systems and technology.

  • Author

    Handbook of Graphs and Networks in People Analytics

    - 1 month

    Published by CRC Press in 2022

  • Author

    Handbook of Regression Modeling in People Analytics

    - 1 month

    Chapman and Hall/CRC Press (July 2021)

  • McKinsey & Company

    McKinsey & Company

    15 years

    • McKinsey & Company Graphic

      Global Director, Assessment and Measurement

      McKinsey & Company

      - 9 years

      Developed and implemented a consistent structured ability assessment framework across McKinsey globally, including standardized evaluation frameworks, tests, interviewing methodologies, training programs and analytical frameworks to measure effectiveness and success.

    • McKinsey & Company Graphic

      Engagement Manager

      McKinsey & Company

      - 6 years

      I worked on over 20 engagements in the UK, Europe and the US. Industry areas included Healthcare, FMCG, Financial Services, Not for profit, Telecommunications and Technology. Functional areas included Corporate Finance, Organization, Marketing, Pricing and Corporate Strategy.

Education

  • Imperial College London Graphic

    Imperial College London

    Doctor of Philosophy (Ph.D.) Pure Mathematics Diploma of Imperial College

    I proved EH Lieb's Permanent Dominance Conjecture, first posited in 1911, for all n x n Hermitian Positive Semidefinite matrices of rank at most 4.

    I designed a computational structure to test for positivity of matrix functions on n x n Totally Positive Matrices, establishing a simple set of test matrices for small n. It has recently been shown that this general problem is NP-hard.

  • Imperial College London Graphic

    Imperial College London

    Bachelor’s Degree Pure Mathematics First Class Honours, Governor's Award for Greatest Academic Merit

    Majored in Algebraic and Analytic disciplines including Discrete Mathematics, Code Theory, Elementary and Algebraic Number Theory, Group Theory, Group Representation Theory, Module Theory, Linear Algebra, Galois Theory, Real and Complex Analysis and Functional Analysis.

    Minored in Mathematical Methods, Mechanics and Dynamics and Statistics.

  • Royal College of Music Graphic

    Royal College of Music

    Imperial College/Royal College of Music Scholar Early Music

    Scholar in Early Music, specializing in the Recorder.

Licenses & Certifications

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