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Risk Analytics Co-op

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Date: Oct 22, 2021

Location: Mississauga, ON, CA

Company: Hatch

Requisition ID: 45543 

Job Category: Project Management 


With over six decades of business and technical experience in the mining, energy, and infrastructure sectors, we understand that challenges are changing rapidly in every industry. We respond quickly with solutions that are smarter, more efficient, and innovative. We draw upon our 9,000 staff with experience in over 150 countries to challenge the status quo and create positive change for our clients, our employees, and the communities we serve.

The fourth industrial revolution has affected most industries, including mining and metals, infrastructures, and energy. However, these major paradigm shifts did not improve the track record in predicting project outcomes, engineering systems reliabilities, and dealing with risks. The emergence of artificial intelligence, data analytics, and predictive models is where Hatch is determined to explore innovative ways to address such issues.


Hatch Risk Analytics services are defined within the global Hatch Risk Management team to implement and incorporate such computational techniques within Hatch’s risk management capabilities. Therefore, we are searching for a coop student with experience in data science and probabilistic methods, proficiency in computer programming, and a good understanding of engineering systems and design.


Position Summary

Reporting to the Global Director of Risk Management and Risk Analytics Lead, the incumbent in this role will support the risk analytics studies and projects in creating analytical tools and models primarily focusing on Probabilistic Risk Assessment (PRA) and Risk Analytics Systems (RAS) with application across all of primary Hatch’s business sectors, namely, mining and metals, energy and renewables (such as Nuclear), and infrastructures.

The ideal candidate is a keen learner who is curious to solve some of the most complex world-scale problems.



  • Support establishing Probabilistic Risk Assessment (PRA) as a business capability, and establishing computational capabilities for risk data synthesis and inferential forecasting, and Risk Analytics Systems (RAS), with applications in:
    • Probabilistic and Bayesian modeling of risk systems including Boolean logic such fault trees, and event trees.
    • Operational risk modeling, assessment, and systems
    • Reliability modeling and engineering
    • Safety risk analysis and forecasting
    • Rare events probabilistic risk and impacts studies (e.g., failure, flood, fire)
    • Decision analysis and value of information
    • Modelling and reflecting on heavy-tailed risk events (aka, black swans)
  • Support establishing Virtual Risk Memory (VRM) systems across Hatch to systematically utilize project data for projects and Hatch internal functions.
    • Developing and modeling benchmarking data
    • Developing and modeling delivery data, cost, and KPIs integration
    • Developing knowledge graphs from unstructured and disparate sources of data
  • This role will also involve occasional involvement in projects to:
    • Lead risk planning for assigned engagements and develop appropriate risk management plans; assist with project’s configuration in iPas RM (Hatch’s risk management system)
    • Facilitate the risk identification process and link the identified risks to engagement and business unit components and/or strategic organizational goals and strategies

Qualifications and Requirements

Minimum requirements

  • Enrolled in third year or higher of a post-secondary degree from a recognized university in all engineering, applied mathematics, or applied statistics.
  • Working knowledge of Python and R programming languages and proven experience of data analysis, cleaning, and processing.
  • Familiarity with machine learning, statistical learning, and probabilistic inference libraries.

Additional assets

  • Familiarity with Bayesian statistics and mathematical formulation of probabilities.
  • Familiarity with developing and applying natural language processing (NLP).
  • Experience developing and applying Artificial Intelligence (AI) and Machine Learning (ML models in industrial (preferred) and business settings.
  • Familiarity with relational and graph database systems and data structures.
  • Familiarity with user interface and dashboard development in R and/or Python.


We are committed to fostering a workforce in each of our locations that reflects the diversity of the communities in which we operate. Hatch is an Equal Opportunity Employer that considers employment applicants without regard to age, race, colour, national origin, citizenship, religion, creed, sex, sexual orientation, marital status, disability or any other protected status. If you have any special needs requirements, please let us know. We will do our utmost to accommodate, in accordance with applicable local legislation. 

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