Principal Quant Engineer

Wolters Kluwer

London, Canada
Hybrid
Quantitative modelling for environmental metrics
Strong programming experience in python
Build production-ready model implementations
We provide expert software and information solutions that the world’s leading professionals rely on, in the moments that matter most

Job Summary

  • We provide expert software and information solutions that the world’s leading professionals rely on, in the moments that matter most.
  • This role sits at the intersection of quantitative modelling, software engineering, and applied AI, focusing on environmental and air quality metrics.
  • Candidates will work on production-grade models embedded into scalable software systems to inform decision-making, forecasting, and optimisation.

Matching Summary

We provide expert software and information solutions that the world’s leading professionals rely on, in the moments that matter most.

Skills & Requirements

Must-have

  • Quantitative modelling for environmental metrics
  • Strong programming experience in Python
  • Build production-ready model implementations
  • Machine learning and AI techniques application
  • Integrate models into scalable software systems
  • Version control and testing frameworks experience

Nice-to-have

  • Experience with time-series analysis and forecasting
  • Knowledge of environmental or financial regulations
  • Experience with geospatial or sensor data
  • Exposure to MLOps or model lifecycle management
  • Experience working in SaaS or product-led organisations
  • Curious, detail-oriented, and rigorous mindset

Key Requirements

  • Strong background in quantitative modelling or related field
  • Experience building environmental or financial models
  • Practical experience with machine learning libraries
  • Experience with real-world noisy and incomplete datasets
  • Python programming required
  • Familiarity with software engineering best practices

Work Rights

Not specified

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