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Phd In Statistics Jobs in Toronto, ON (NOW HIRING)

Data Scientist

Toronto, ON ยท On-site

CA$80K - CA$175K/yr

Graduate degree (Master's or PhD) in Computer Science, Engineering, Statistics, Mathematics, or a related field. This role is ideal for someone passionate about building scalable AI solutions and ...

Analyst, Credit Risk Models

Toronto, ON ยท On-site

CA$56K - CA$84K/yr

A strong academic background, with a graduate degree (Masters or PhD) in a quantitative field such as mathematics, statistics, computer science, engineering or another relevant postgraduate ...

Master's or PhD degree in Statistics, Applied Mathematics, Data Science, Computer Science, Engineering, Physics, or a related quantitative field. * 2+ years of industry experience developing and ...

Remote Mathematics Specialist

Toronto, ON ยท Remote

CA$100 - CA$200/hr

PhD (pursuing or completed) in Mathematics, Applied Math, Statistics, or related field. * Strong mathematical reasoning and problem-solving skills across advanced domains. * Ability to communicate ...

Master's degree or PhD in Computer Science or Relevant experience, Engineering, Statistics, or a related field. Technology Stack Programming Languages: Python (expert proficiency required), SQL ...

Senior / Staff Applied Scientist

Toronto, ON ยท On-site +1

CA$146K - CA$280K/yr

MS/PhD or equivalent experience in a highly quantitative field such as Statistics, Mathematics, Computer Science, Physics, or Robotics.- Strong command of Python/SQL for data analysis and prototyping

... PhD) in bioinformatics, computational biology, genetics, or a related field - or equivalent practical experience. Nice to Have * Previous experience in a startup or early-stage company. * Statistical ...

Showing results 21-40

Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in academia, research, data science, and analytics, often requiring strong analytical and programming skills. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, statisticians, quantitative analysts, or research scientists, utilizing skills in statistical software, programming, and data interpretation to solve complex problems. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

What are popular job titles related to Phd In Statistics jobs in Toronto, ON?

For Phd In Statistics jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Phd In Statistics jobs in Toronto, ON look for?

The top searched job categories for Phd In Statistics jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Phd In Statistics jobs?

Cities near Toronto, ON with the most Phd In Statistics job openings:

Infographic showing various Phd In Statistics job openings in Toronto, ON as of September 2026, with employment types broken down into 2% Internship, 81% Full Time, 16% Part Time, and 1% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Associate Director, GRA Climate Risk Modelling and Model Governance

Toronto, ON โ€ข On-site

Royal Bank of Canada
Banking and Credit Intermediationย โ€ขย 10K+ employees

Full-time

Re-posted 5 days ago


Job description

Job Description

Global Risk Analytics (GRA) is the center of expertise for models used in risk management, covering market risk, counterparty credit risk, and emerging risk. The GRA Climate Risk Modelling and Model Governance team is responsible for the conceptualization, design, implementation, and maintenance of both physical and transition climate risk modeling frameworks. These models serve as fundamental tools for quantifying and assessing climate related risks across the enterprise. The team's scope includes alignment with evolving regulatory expectations, compliance requirements, and adherence to established industry best practices and methodological standards. The team also provides governance of departmental activities and support GRA senior management in developing strategic plans, tracking progress, and compiling reports on model enhancement and development projects.

GRA is seeking an individual who is an expert in climate physical and/or transition risk analysis and is passionate about applying innovative data analytics and strong programming skills to enhance our climate risk analytics capabilities.

Your responsibilities will cover both Climate Risk Modelling and GRA Model Governance activities.
What will you do?

  • Develop quantitative models and perform scenario analysis to estimate transition and physical risk of climate change (with focus on earthquake, wildfire, storm, etc.) on Bank's corporate and retail lending portfolios.
  • Perform data processing, statistical analysis, modeling and visualisation using Geographic information system (GIS) software.
  • Collaborate with internal stakeholders to determine business needs, source data, integrate models into Bank's processes, and supporting stress testing functions.
  • Collaborate with vendors including external data providers to integrate and validate their outputs, while conducting comprehensive benchmarks using open-source hazard datasets.
  • Build, enhance, and automate processes to facilitate ongoing monitoring and maintenance of models. Execute quarterly/monthly processes and be accountable for the timely analysis of results. Handle ad hoc request as required.
  • Document all models and processes developed and work with the model validation team to ensure timely and successful validation.
  • Support Model Governance and Integration processes within Global Risk Analytics to ensure it operates with high efficiency and meets requirements of Second and Third lines of defence.
  • Support GRA senior management in developing strategic plans, tracking progress, and compiling reports on model enhancement and development projects.

What do you need to succeed? Must-have

  • 3+ years of experience in Financial Risk, Climate Science or Environmental Consulting
  • Advanced degree (Master's/PhD) in a quantitative, technical, or interdisciplinary discipline (e.g., Statistics, Financial Engineering, Applied Mathematics, Climate Science, Spatial Analysis, Computer Science);
  • Experience with data science, probabilistic modelling, and ability to manipulate large amounts of data;
  • Experience independently building quantitative models including climate hazard models;
  • Research oriented mindset;
  • Familiarity with Spatial Data Analysis and experience with Geographic information system (GIS) software;
  • Proficiency in Python/R;
  • Solid statistical and mathematical knowledge with attention to details;
  • Strong communication skills and ability to communicate with variety of stakeholders.

Nice-to-have

  • Familiarity with climate related financial regulations;
  • Hands-on experience with RCP (Representative Concentration Pathways), SSP (Shared Socioeconomic Pathways) scenarios, and CMIP5/6 datasets;
  • Experience working with geographical data structures like NetCDF, Raster, Shape files;
  • Familiarity with geographic data processing packages including Fiona, GeoPandas, Shapely, Rasterio, Xarray, and GDAL;
  • To be a team player ready to collaborate and innovate;
  • Understanding of the overall risk management function within a bank;
  • Knowledge of financial products in banking and trading book.

Job Skills

Critical Thinking, Data Analytics, Machine Learning (ML), Python (Programming Language), Quantitative Methods, Risk Analytics, Risk Management, Teamwork

Additional Job Details

Address:

ROYAL BANK PLAZA, 200 BAY ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-06

Application Deadline:

2026-09-11

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Employment Type: FULL_TIME