Advanced degree (Master's/PhD) in a quantitative, technical, or interdisciplinary discipline (e.g., Statistics, Financial Engineering, Applied Mathematics, Climate Science, Spatial Analysis, Computer ...
Advanced degree (Master's/PhD) in a quantitative, technical, or interdisciplinary discipline (e.g., Statistics, Financial Engineering, Applied Mathematics, Climate Science, Spatial Analysis, Computer ...
Quantitative Research Analyst
Toronto, ON ยท On-site
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 ...
Quantitative Research Analyst
Toronto, ON ยท On-site
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 ...
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 ...
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 ...
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 ...
A strong academic background, with a graduate degree (Masters or PhD) in a quantitative field such as finance, economics, statistics, mathematics, computer science, or another relevant postgraduate ...
A strong academic background, with a graduate degree (Masters or PhD) in a quantitative field such as finance, economics, statistics, mathematics, computer science, or another relevant postgraduate ...
Degree or PhD in math, engineering, statistics, econometrics, actuarial sciences or equivalent. * Professional designation is an asset (FRM, CFA). * Experience with statistical and probabilistic ...
Degree or PhD in math, engineering, statistics, econometrics, actuarial sciences or equivalent. * Professional designation is an asset (FRM, CFA). * Experience with statistical and probabilistic ...
Data Scientist - Hybrid
Toronto, ON ยท On-site
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 ...
Data Scientist - Hybrid
Toronto, ON ยท On-site
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 ...
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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 ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Toronto, ON ยท Remote
Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field, and returning to that program after the co-op.
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Toronto, ON ยท Remote
Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field, and returning to that program after the co-op.
Part-Time Lecturer - Analytics (Toronto)
Toronto, ON ยท On-site
CA$2.0K/wk
... statistics, data exploration, data visualization, and predictive analytics. The mission of the ... Preference for candidates with a PhD in a sciences field, or similar. Demonstration of teaching at ...
Part-Time Lecturer - Analytics (Toronto)
Toronto, ON ยท On-site
CA$2.0K/wk
... statistics, data exploration, data visualization, and predictive analytics. The mission of the ... Preference for candidates with a PhD in a sciences field, or similar. Demonstration of teaching at ...
AI Engineer - Assistant Vice President
Mississauga, ON ยท On-site
CA$94K - CA$141K/yr
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 ...
AI Engineer - Assistant Vice President
Mississauga, ON ยท On-site
CA$94K - CA$141K/yr
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 ...
A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)
A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)
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
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 a life sciences field; * Up to 3 years of relevant consulting or Medical Affairs experience preferred; * Strong understanding of clinical trial design and statistics; * Knowledge of different ...
PhD in a life sciences field; * Up to 3 years of relevant consulting or Medical Affairs experience preferred; * Strong understanding of clinical trial design and statistics; * Knowledge of different ...
Machine Learning Researcher
Toronto, ON ยท On-site
... statistical models. Being part of our team means you'll also have the opportunity to publish ... A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or ...
Machine Learning Researcher
Toronto, ON ยท On-site
... statistical models. Being part of our team means you'll also have the opportunity to publish ... A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or ...
Bioinformatics Team Manager
Toronto, ON ยท On-site
... 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 ...
Bioinformatics Team Manager
Toronto, ON ยท On-site
... 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 ...
Senior Director, AI Research
Toronto, ON ยท On-site
PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related field, or equivalent industry experience. * 10+ years of experience developing and deploying machine learning models ...
Senior Director, AI Research
Toronto, ON ยท On-site
PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related field, or equivalent industry experience. * 10+ years of experience developing and deploying machine learning models ...
Machine Learning Researcher
Toronto, ON ยท On-site
... statistical models. Being part of our team means you'll also have the opportunity to publish ... A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or ...
Machine Learning Researcher
Toronto, ON ยท On-site
... statistical models. Being part of our team means you'll also have the opportunity to publish ... A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or ...
Bachelor's, Master's, or PhD in a quantitative discipline from a top academic program (Data Science, Mathematics, Economics, Natural Sciences, Statistics, Computer Science, Engineering, etc.) * Data ...
Bachelor's, Master's, or PhD in a quantitative discipline from a top academic program (Data Science, Mathematics, Economics, Natural Sciences, Statistics, Computer Science, Engineering, etc.) * Data ...
Bachelor's, Master's, or PhD in a quantitative discipline from a top academic program (Data Science, Mathematics, Economics, Natural Sciences, Statistics, Computer Science, Engineering, etc.) * Data ...
Bachelor's, Master's, or PhD in a quantitative discipline from a top academic program (Data Science, Mathematics, Economics, Natural Sciences, Statistics, Computer Science, Engineering, etc.) * Data ...
Phd In Statistics information
What is the difference between Phd In Statistics vs Data Scientist?
| Aspect | Phd In Statistics | Data Scientist |
|---|---|---|
| Required Credentials | Typically a PhD in Statistics or related field | Often a bachelor's or master's degree in a quantitative field; some roles prefer a PhD |
| Work Environment | Academic, research institutions, or specialized analytics teams | Corporate, tech companies, or consulting firms |
| Industry Usage | Research, academia, government, and industry R&D | Business analytics, product development, and data-driven decision making |
| Common Search & Comparison | Yes | Yes |
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?
What can you do with a PhD in statistics?
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:
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Cities near Toronto, ON with the most Phd In Statistics job openings:

Associate Director, GRA Climate Risk Modelling and Model Governance
Toronto, ON โข On-site
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, TeamworkAdditional Job Details
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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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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
Employment Type: FULL_TIMEAbout Royal Bank of Canada
Sourced by ZipRecruiter
Industry
Banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
Toronto, Ontario, CA