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Phd In Economics Jobs in Ontario (NOW HIRING)

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 ...

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

The Wealth Path Wealth Advisor works in a client-focused, team-centered environment under the ... Bachelor's degree from an accredited institution (preferably Business, Economics, Accounting or ...

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Phd In Economics information

What is a PhD in Economics?

A PhD in Economics is a doctoral degree focused on advanced study and research in economic theory, econometrics, and applied economics. This program typically spans 4-6 years and involves rigorous coursework, comprehensive exams, and original research culminating in a dissertation. Graduates are trained to analyze complex economic problems, contribute to policy discussions, and advance the field through academic or industry research. Earning a PhD in Economics prepares individuals for careers in academia, government, international organizations, and the private sector.

What types of career paths are available to someone with a PhD in Economics beyond academia?

While many with a PhD in Economics pursue academic research and teaching positions, there are also diverse opportunities in government agencies, think tanks, international organizations, and the private sector. Economists are often employed in policy analysis, data science, consulting, and financial services, where their analytical and quantitative skills are highly valued. Collaborating with multidisciplinary teams is common, and positions often involve conducting complex research, presenting findings to stakeholders, and informing decision-making processes. Career advancement can lead to senior research, policy advisory, or executive roles depending on the industry.

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

To thrive as a PhD in Economics, you need advanced quantitative analysis, economic theory expertise, and strong research skills, typically supported by a doctoral degree in economics or a related field. Proficiency with statistical software such as Stata, R, or MATLAB and experience with academic publishing and data management tools are highly valued. Exceptional critical thinking, effective communication, and collaborative abilities distinguish top economists in academic or industry roles. These skills are crucial for producing rigorous research, influencing policy, and effectively conveying complex economic concepts to diverse audiences.

What is the difference between Phd In Economics vs Economist?

AspectPhd In EconomicsEconomist
Required CredentialsDoctorate (PhD) in EconomicsBachelor's or Master's in Economics or related field; PhD preferred for advanced roles
Work EnvironmentAcademic, research institutions, think tanks, policy organizationsGovernment agencies, private firms, consulting, research institutions
Industry UsageAcademic research, policy analysis, teachingEconomic analysis, forecasting, policy advising, consulting

While a Phd In Economics focuses on advanced research and academic roles, an Economist applies economic principles in various industries, often with less emphasis on academic research. Both roles require strong analytical skills, but the PhD is essential for research-intensive positions, whereas Economists may have diverse educational backgrounds.

Is a PhD in economics in demand?

A PhD in economics is in demand for academic, research, and policy roles, especially in government agencies, think tanks, and universities. Economists with strong analytical skills and expertise in data analysis, econometrics, and modeling are sought after in various sectors, including finance and consulting. Job opportunities often require advanced research capabilities and a solid understanding of economic theory.

Is a PhD in economics useful?

A PhD in economics is useful for careers in academia, research, policy analysis, and high-level consulting, where advanced analytical and quantitative skills are required. It can lead to roles in government agencies, international organizations, and financial institutions, often involving data analysis, economic modeling, and policy development.

What can I do with a PhD in economics?

A PhD in economics prepares individuals for research, teaching at the university level, and policy analysis roles in government, think tanks, or international organizations. Graduates often work as economists, data analysts, or consultants, utilizing quantitative skills, economic modeling, and statistical tools like R or Stata. Career paths may also include roles in finance, consulting, or academia.

What are popular job titles related to Phd In Economics jobs in Ontario?

For Phd In Economics jobs in Ontario, the most frequently searched job titles are:

What cities in Ontario are hiring for Phd In Economics jobs?

Cities in Ontario with the most Phd In Economics job openings:

Infographic showing various Phd In Economics job openings in Ontario as of August 2026, with employment types broken down into 81% Full Time, 18% Part Time, and 1% Contract. Highlights an 74% Physical, 8% Hybrid, and 18% Remote job distribution.

Senior Manager, Regulatory and Risk Advisory (Quant)

KPMG

Toronto, ON โ€ข On-site

Full-time

Re-posted 20 days ago


Key responsibilities

  • Lead daily work on credit modelling and risk management assignments, including developing models and performing validations.

  • Prepare detailed reports and present findings, observations, and recommendations to clients.

  • Coordinate and review the execution of risk management projects to ensure high-quality deliverables.


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canadaโ€™s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.ย 

Backed by deep industry knowledge, our team works with organizations to strengthen their governance and operating models, positioning them to effectively achieve their risk management goals. KPMGโ€™s Regulatory and Risk Advisory (RRA) professionals help organizations by addressing complex challenges, creating, and protecting sustainable business value and transforming risk into a strategic advantage.

We are currently seeking a Senior Manager with a quantitative profile, specializing in credit risk modeling to join our Regulatory and Risk Advisory team within our Toronto office, The candidate will offer advisory services in credit risk modeling and validation and will be working on a wide variety of projects with banks, credit unions, insurers, and investment funds.


What you will do

You will work closely with the Partner responsible for the Regulatory and Risk Advisory practice on advisory projects and contribute to business development. The incumbent will:

  • Lead daily work on assignments related to credit modelling and risk management; develop credit models, perform validations, and participate in external/internal audit engagements related to IFRS 9 โ€“ ECL, credit modelling, or other quantitative engagements to meet the clientsโ€™ expectations.
  • Provide expertise in development or validation of models for a wide area of products such as retail (mortgages, revolving, other retail loans) and non-retail portfolios (corporate, commercial, real estate), for underwriting credit models, credit risk scorecards or risk ratings models.
  • Work on multiple assignments simultaneously, potentially involving several partners.
  • Prepare detailed reports presenting the execution approach, observations, and recommendations.
  • Coordinate the execution of various risk management projects to add value.
  • Review analyses and deliverables produced by the execution team to ensure their high quality.
  • Prepare service proposals to meet the business needs of clients.
  • Deliver presentations to clients, participate in client meetings, as well in business development.

What you bring to the role
  • 10 years of relevant experience in banking including work in credit model development or validation functions.
  • Degree or PhD in math, engineering, statistics, econometrics, actuarial sciences or equivalent.
  • Professional designation is an asset (FRM, CFA).
  • Experience with statistical and probabilistic credit risk modelling for risk rating and scorecard models for credit risk, ECL models for IFRS 9, and/or with stress testing models, and/or model validation experience for these models.
  • Knowledge of the following models: logit/probit, Autoregressive, ARIMA, GARCH, survival models.
  • Proficiency in at least two of the following tools and languages: SAS, Python, R, VBA, SQL, C++, Java.
  • Well versed in model risk management activities.
  • Knowledge of the requirements of the final Basel III and regulatory capital including calculation of regulatory capital and IRB modelling an asset.
  • Proficiency in Bloomberg valuation and pricing models an asset.
  • Motivation to achieve high standards of customer service and professionalism.
  • Ability to deal with difficult and complex situations, great investigation skills and rigor.
  • Ability to adequately manage projects and budgets.
  • Excellent verbal and written communication skills in English; bilingual capability in French an asset.
  • Exceptional time management skills and ability to meet tight deadlines.
  • Strong analytical and problem-solving skills.
  • Initiative, ability to work independently with minimal supervision.
  • Client-oriented to understand issues and propose value-added solutions.
  • Commitment to achieving high standards of customer service and professionalism in project delivery.

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $120,000 to $170,000 and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right |ย Excellence, we never stop learning and improving |ย Courage, we think and act boldly | Together, we respect each other and draw strength from our differences |ย For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMGโ€™s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMGโ€™s Trusted AI framework.

We believe technology should empower human judgment, not replace it. Itโ€™s one of the many ways weโ€™re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • 10 years of relevant experience in banking including work in credit model development or validation functions.
  • Degree or PhD in math, engineering, statistics, econometrics, actuarial sciences or equivalent.
  • Professional designation is an asset (FRM, CFA).
  • Experience with statistical and probabilistic credit risk modelling for risk rating and scorecard models for credit risk, ECL models for IFRS 9, and/or with stress testing models, and/or model validation experience for these models.
  • Knowledge of the following models: logit/probit, Autoregressive, ARIMA, GARCH, survival models.
  • Proficiency in at least two of the following tools and languages: SAS, Python, R, VBA, SQL, C++, Java.
  • Well versed in model risk management activities.
  • Knowledge of the requirements of the final Basel III and regulatory capital including calculation of regulatory capital and IRB modelling an asset.
  • Proficiency in Bloomberg valuation and pricing models an asset.
  • Motivation to achieve high standards of customer service and professionalism.
  • Ability to deal with difficult and complex situations, great investigation skills and rigor.
  • Ability to adequately manage projects and budgets.
  • Excellent verbal and written communication skills in English; bilingual capability in French an asset.
  • Exceptional time management skills and ability to meet tight deadlines.
  • Strong analytical and problem-solving skills.
  • Initiative, ability to work independently with minimal supervision.
  • Client-oriented to understand issues and propose value-added solutions.
  • Commitment to achieving high standards of customer service and professionalism in project delivery.

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $120,000 to $170,000 and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME