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Operations Research Phd Jobs in Ontario (NOW HIRING)

A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)

Master's degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Operations Research, Economics, or another related STEM field Experience: * 6+ years post-Master's experience or 4+ ...

A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)

Master's degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Operations Research, Economics, or another related STEM field Experience * 2+ years of hands-on experience in data ...

... research to transform real-world industrial operations at scale. Our mission is to move beyond ... Education: Graduate degree (Masters or PhD) in Computer Science, Robotics, or related field.

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Operations Research Phd information

What is an operations research PhD?

Operations Research PhDs are experts who have completed a doctoral program focused on advanced analytical methods to help make better decisions and solve complex problems. Their studies involve mathematics, statistics, computer science, and engineering principles to develop models and algorithms used in industries such as logistics, finance, healthcare, and manufacturing. With a PhD, they often pursue careers in academia, industry research, or consulting, applying their expertise to optimize systems and processes.

What are the key skills and qualifications needed to thrive as an operations research PhD?

To thrive as an Operations Research PhD, you need advanced analytical skills, a strong foundation in mathematics and statistics, and a doctoral degree in operations research or a related quantitative field. Expertise with optimization software (like CPLEX or Gurobi), programming languages (such as Python, R, or MATLAB), and familiarity with data analysis tools are typically required. Strong problem-solving abilities, effective communication, and the ability to work collaboratively distinguish top performers in this role. These skills enable professionals to develop data-driven solutions to complex business problems and communicate insights to stakeholders, driving organizational efficiency and innovation.

What are some common challenges faced by operations research PhDs when transitioning from academia to industry roles?

One common challenge for Operations Research PhDs moving into industry is adapting to the faster-paced environment where solutions often need to be practical and implemented quickly, rather than purely theoretically optimal. Additionally, communicating complex analytical methods to non-technical stakeholders and working within cross-functional teams requires strong collaboration and interpersonal skills. Industry roles may also demand proficiency with industry-specific tools and the ability to manage multiple projects with shifting priorities. Embracing these challenges can accelerate professional growth and lead to rewarding career advancement.

What are popular job titles related to Operations Research Phd jobs in Ontario?

For Operations Research Phd jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Operations Research Phd jobs in Ontario look for?

The top searched job categories for Operations Research Phd jobs in Ontario are:

Infographic showing various Operations Research Phd job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Quantitative Research Analyst

Waterfront International Ltd

Toronto, ON • On-site

Full-time

Re-posted 14 days ago


Job description

We are currently looking for highly talented individuals with a history of exceptional academic and/or industry achievement who are interested in working in a fast paced, stimulating and dynamic environment.

Primary Responsibilities:

  • Develop, modify, optimize, test and implement real time quantitative trading models and strategies.
  • Perform statistical analysis of historical and current financial market data.
  • Research strategies in equities, futures, fixed income, and other asset classes.
  • Generate new indicator ideas.

Requirements:

  • PhD or Masters in Mathematics, Statistics, Physics or Operations Research.
  • Must possess expert level C/C++ programming skills.
  • Incredibly strong problem solving and analytical skills.
  • Time series analysis and statistical modeling experience.
  • Some financial experience desired but not required.
  • Must be a strong self-starter and able to work well independently.