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Phd In Mathematics Jobs in Ontario (NOW HIRING)

You hold a Master of Science (MSc) or Doctor of Philosophy (PhD) in Computer Science, Mathematics, Engineering or a related discipline, or bring comparable experience with at least 5 years in credit ...

Advanced degree (MS or PhD) in a quantitative field such as Statistics, Applied Mathematics, Economics, Computer Science, or a related area * Hands-on technical experience in experimentation, causal ...

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Phd In Mathematics information

What is a PhD in Mathematics?

A PhD in Mathematics is the highest academic degree in the field of mathematics, typically awarded after several years of original research and advanced coursework. The program involves the completion of a dissertation that contributes new knowledge to mathematical theory or application. Graduates are prepared for careers in academia, research, industry, and government, where they can apply their expertise to solve complex problems or teach at a university level.

Is a PhD in mathematics worth it?

A PhD in mathematics prepares individuals for careers in academia, research, data analysis, and quantitative roles, often requiring strong problem-solving and analytical skills. While it can lead to high-level positions, it typically involves several years of study and may have limited direct industry applications compared to other degrees, making its value dependent on career goals.

What is the salary of a PhD in mathematics?

The salary of a PhD in mathematics varies depending on the industry, experience, and location. Typically, mathematicians with a PhD working in academia, research, or industry can expect salaries ranging from $70,000 to over $120,000 annually. Higher salaries are common in private sector roles such as data science, finance, or technology companies that require advanced quantitative skills.

What types of collaborative opportunities are available for someone with a PhD in Mathematics within academic or industry settings?

Individuals with a PhD in Mathematics often collaborate with professionals from various disciplines, such as computer science, engineering, economics, or biology, depending on their area of expertise. In academia, this may involve joint research projects, interdisciplinary teaching, or grant applications with faculty from other departments. In industry, mathematicians frequently work on teams with data scientists, engineers, or analysts to solve complex problems, optimize processes, or develop new technologies. These collaborations not only broaden the impact of mathematical research but also provide valuable professional networking and learning opportunities.

Are math PhDs in demand?

Math PhDs are in demand in fields such as academia, data science, finance, and technology, where advanced analytical and problem-solving skills are valued. They often find opportunities in research, consulting, and roles requiring quantitative expertise, with employment prospects improving as data-driven decision-making grows across industries.

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

AspectPhd In MathematicsData Scientist
Required CredentialsDoctorate in Mathematics or related fieldBachelor's or Master's in Math, Statistics, CS, or related field; PhD preferred
Work EnvironmentAcademic, research institutions, or R&D departmentsCorporate, tech companies, finance, healthcare
Industry UsageResearch, academia, governmentBusiness analytics, machine learning, data analysis
Common Search IntentAcademic careers, research rolesData analysis, machine learning roles

While a Phd in Mathematics focuses on advanced research and theoretical work, a Data Scientist applies mathematical and statistical skills to analyze data and solve business problems. Both roles require strong quantitative skills, but Data Scientists often work in industry settings with a focus on practical data applications.

What are the key skills and qualifications needed to thrive as a PhD in Mathematics, and why are they important?

To thrive as a PhD in Mathematics, you need advanced mathematical reasoning, problem-solving abilities, and a deep understanding of mathematical theory, usually supported by a strong academic background and research experience. Familiarity with mathematical software (such as MATLAB, Mathematica, or Python for computational work) and experience with academic publishing are commonly required. Strong analytical thinking, perseverance, and effective communication skills help you excel in research, teaching, and collaboration. These skills are crucial for pushing the boundaries of mathematical knowledge and successfully sharing insights with both academic and broader audiences.
What are popular job titles related to Phd In Mathematics jobs in Ontario? For Phd In Mathematics jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Phd In Mathematics jobs in Ontario look for? The top searched job categories for Phd In Mathematics jobs in Ontario are:
What cities in Ontario are hiring for Phd In Mathematics jobs? Cities in Ontario with the most Phd In Mathematics job openings:
Infographic showing various Phd In Mathematics job openings in Ontario as of August 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Director, AI Research

Royal Bank of Canada

Toronto, ON โ€ข On-site

Full-time

Re-posted 15 days ago


Job description

Job Description

What is the opportunity?

RBC's AI Group is building the future of AI-powered banking, and our research teams are at the forefront of this transformation. Reporting to the VP, Applied AI Research & Solutions, the Senior Director, AI Research will lead a team of world-class machine learning researchers and research engineers to develop cutting-edge AI algorithms that directly power RBC's products and services.

This is a unique opportunity to bridge frontier AI research with real-world business impact. You'll work at the intersection of innovation and application by translating the latest advances in machine learning into production-ready solutions that serve millions of clients across credit, fraud detection, market intelligence, pricing optimization, and generative AI applications.

As a member of RBC Borealis AI, you'll leverage RBC's unique data assets and strategic partnerships to push the boundaries of what's possible in AI, while ensuring your work delivers measurable business value aligned with RBC's $1 billion AI ambition.

What will you do?

AI Research Leadership:

  • Lead and mentor a high-performing team of AI researchers and research engineers, fostering a culture of innovation, collaboration, and impact-driven solutions.
  • Direct the development of novel machine learning algorithms and models across one or more domains: credit risk, fraud detection, market prediction, pricing & optimization, or generative/agentic AI. Leverage RBC and external data to deliver differentiating solutions and intellectual property to the business.
  • Define AI roadmaps with ML models that balance advancing the state-of-the-art with delivering tangible business outcomes aligned to RBC's strategic priorities.
  • Build and retain top-tier AI talent by creating an environment that attracts leading researchers from both academia and industry.
  • Act as a thought leader and partner to RBC businesses and functions and advise on the art of the possible for AI in these domains.
  • Evaluate new areas for AI investment, complete proof of concept testing and evaluation.

Applied Research & Business Impact:

  • Partner closely with the VP, AI Research and Innovation team to operationalize frontier research and translate breakthroughs into applied solutions.
  • Collaborate with VP, Solutions Engineering & Delivery to ensure AI algorithms are production-ready, scalable, and integrated seamlessly into RBC's enterprise platforms.
  • Drive rapid experimentation and iteration to test and validate models against real-world business problems, ensuring measurable ROI.
  • Develop intellectual property and publish research findings that position RBC as a thought leader in AI innovation.

Cross-Functional Collaboration:

  • Act as a trusted technical advisor to business partners across RBC's lines of business, translating complex AI concepts into actionable insights.
  • Work with platform teams to leverage RBC's AI & data infrastructure (Lumina) for model development, training, and deployment.
  • Partner with AI Governance & Evaluation teams to ensure all models meet regulatory, ethical, and compliance standards.
  • Engage with external research communities, academic institutions, and industry partners to stay ahead of emerging AI trends and technologies.
  • Champion responsible AI practices, embedding fairness, transparency, and bias mitigation into the research lifecycle.
  • Identify opportunities to advance RBC's AI capabilities through experimentation with emerging technologies (e.g., foundation models, multimodal AI, reinforcement learning).
  • Contribute to RBC's AI thought leadership through publications, patents, conference presentations, and community engagement.

What do you need to succeed?

Must Have:

  • 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 in industry settings, with at least 3-5 years in leadership roles and people management.
  • Experience translating research prototypes into production-grade solutions at scale, preferably in regulated industries (financial services, healthcare, etc.).
  • Strong publication record and recognized thought leadership in AI/ML (conference papers, patents, technical blogs, or open-source contributions).
  • Demonstrated ability to collaborate across technical and non-technical stakeholders, communicating complex concepts clearly to senior leadership.

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • Work at the cutting edge of AI: Access to RBC's unique data assets, world-class compute infrastructure, and strategic partnerships with leading AI research institutions.
  • Industry-leading research environment: Publish your work, attend top-tier conferences, and collaborate with renowned researchers from RBC Borealis and beyond.
  • Real-world impact: Your research will directly power products and services used by millions of clients across Canada and globally.
  • Comprehensive Total Rewards Program including competitive compensation, bonuses, flexible benefits, and stock options.
  • Talent development: Leaders who support your growth through coaching, mentorship, and opportunities to shape RBC's AI strategy.
  • Dynamic, high-performing team: Work alongside some of the brightest minds in AI, machine learning, and financial services.
  • Opportunities for progressively greater impact: Shape the future of AI at one of the world's leading financial institutions.

#LI-POST

#TecPJ

Job Skills

Data Science, Decision Making, Emerging Technologies, Group Problem Solving, Machine Learning (ML), Multi-Level Communication, Programming Languages

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-05-24

Application Deadline:

2026-09-07

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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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

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_TIME