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

Targeted Talent

Senior Deep Learning Engineer

Toronto, ON · On-site +1

$130K - $180K/yr

Strong math skills and Python proficiency * Experience with C/C++ Preferred Skills & Experience: * Master's or PhD in Computer Science, Engineering, or related field * Experience in embedded or low ...

Targeted Talent

Senior Deep Learning Engineer

Toronto, ON · On-site +1

$130K - $180K/yr

Strong math skills and Python proficiency * Experience with C/C++ Preferred Skills & Experience: * Master's or PhD in Computer Science, Engineering, or related field * Experience in embedded or low ...

BMO Capital Markets

Model Risk Specialist

Toronto, ON · On-site

CA$61K - CA$113K/yr

An advanced degree (Maters, PhD) in a quantitative discipline, ideally in mathematics, statistics, computer science or engineering Performs validation of models and assesses model risk to confirm ...

Basetwo

Process Modeller (Biologics)

Toronto, ON

Research, develop and validate mathematical models for industrial processes in pharmaceuticals and ... Masters or PhD in Chemical Engineering, or a related technical field, with 1-4 years of research ...

Basetwo

Process Modeller (Biologics)

Toronto, ON · On-site

Research, develop and validate mathematical models for industrial processes in pharmaceuticals and ... Masters or PhD in Chemical Engineering, or a related technical field, with 1-4 years of research ...

Career Renew

Senior ML Engineer

Toronto, ON · Remote

$180K - $240K/yr

... MS/PhD in CS, ML, Mathematics, or closely related field with ML coursework (Mandatory) Why you should join * Industry leader in Voice AI for customer service since 2017 -- powering enterprise ...

Career Renew

Senior ML Engineer

Toronto, ON · Remote

$180K - $240K/yr

... MS/PhD in CS, ML, Mathematics, or closely related field with ML coursework (Mandatory) Why you should join * Industry leader in Voice AI for customer service since 2017 -- powering enterprise ...

Waabi

Safety Engineer, Collision Risk

Toronto, ON · On-site +1

CA$126K/yr

Masters or PhD within an engineering discipline preferred. - 3+ years of automotive, robotics or ... fundamentals in mathematics, engineering and physics. - Excellent scripting and data analysis ...

Nvidia

Solutions Architect, Networking

Toronto, ON

What We NeedToSee: * BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, otherEngineeringor related fields (or equivalent experience) * 5+ years of Solution ...

Autodesk

Senior Applied AI/ML Developer

Toronto, ON · Remote

Math/ or PhD in Computer Science, Statistics, Mathematics, Physics, Developer, Economics, Computational Linguistics or related fields * 3+ years of applicable work experience in ML * Hands-on ...

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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 job categories do people searching Phd In Mathematics jobs in Toronto, ON look for? The top searched job categories for Phd In Mathematics jobs in Toronto, ON are:
Phd In Mathematics jobs near you
Infographic showing various Phd In Mathematics job openings in Toronto, ON 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.

Quantitative Research Analyst

Waterfront International Ltd

Toronto, ON

Full-time

Re-posted 15 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.

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