Christian Theil Have

Position: Manager at EY
Categories: Computer Science
Location: Central, Southern and Western Zealand, Lolland, Falster and Møn (4000-4999), Copenhagen, Frederiksberg, and vicinity (1000-2999)


As a consultant in the AI risk unit at EY, I assist financial institutions in mitigating model risk associated with their AI/ML-based models, primarily within the anti-financial crime domain. My role involves conducting technical reviews, performing experiments, and analyzing these models.

Prior to transitioning to the financial industry in 2018, I worked as a computer science researcher, doing a PhD and spending six years as a postdoctoral researcher. During my PhD, I specialized in probabilistic logic programming. As a postdoc, my work revolved around applied data analytics of genetics data, emphasizing high-performance computing, data quality control, imputation, data privacy, and statistical testing.

From 1999 to 2008, I worked as a software developer and cybersecurity consultant in various contexts. I held positions in early-stage startups, SMEs, and multinational corporations, and also operated as an independent consultant in my own company for several years.


I have been inspired and guided by a diverse set of thoughtful and kind people throughout my carrier. I would like to pay it forward.

On the other hand, I seek not only to guide and inspire, but also be inspired. I expect mentoring to a two-way street, where you not only impart your expertise but also learn from your mentees and this is a large part of motivation. Explaining concepts, answering questions, and providing guidance forces you to stay up-to-date with the latest trends and advancements in the field of data science.

Finally, I hope that the relationship formed can be open up doors for both you and me, wherever our future carriers might take us.

Skills, expertise, and interests

  • Data science
  • Data analytics
  • Data visualisation
  • Data mining
  • Big data
  • Data management
  • Time series analysis
  • Text analysis
  • Statistical and data modelling
  • Machine learning
  • Deep learning
  • Artificial intelligence
  • Natural language processing (NLP)
  • Causality and explainability
  • Bioinformatics
  • Computational science
  • High-performance computing
  • Statistics and mathematics
  • Economics, finance, and business
  • Consulting
  • Software engineering
  • Career planning or change
  • Work-life balance
  • Teamwork

Programming languages and software

  • Python
  • R
  • SQL
  • Java
  • Scala
  • JavaScript
  • C++/C
  • Julia
  • Ruby
  • PHP
  • Perl
  • Shell Scripting (e.g., Bash)
  • Apache Spark