ZipRecruiter

Log In

1

Credit Risk Analyst Jobs in Ontario (NOW HIRING)

Scotiabank

Manage Credit Risk Testing

Toronto, ON

The Manager, Credit Risk Testing is a key contributor to the success of the Retail Credit Risk team ... Strong analytical and problem-solving skills, with the ability to identify trends, structural ...

Rogers Communications

Sr Analyst Credit Risk

Toronto, ON · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

Provide data mining and analytical support for various credit risk initiatives including customer origination, customer management, collections and recovery.Learn to use and master the various ...

Rogers Communications

Sr Analyst Credit Risk

Toronto, ON · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

What you'll do:  •     Provide data mining and analytical support for various credit risk initiatives including customer origination, customer management, collections and recovery ...

PwC

Credit Risk Modelling Senior Associate

Toronto, ON · Hybrid

CA$73K - CA$122K/yr

Solid understanding and knowledge of credit risk processes, credit risk analytics, risk rating methodologies, risk managementpoliciesand risk management organization structures * Significant ...

Peoples Group

AVP Credit Risk Modelling

Toronto, ON · Hybrid

  • PTO

Working closely with Credit Risk Management and Finance to set credit loss provisions for the loan portfolio in accordance with IFRS-9 requirements. You will own the quantitative methodologies for ...

previous pagenext page

Showing results 21-40

All JobsCredit Risk Analyst JobsCredit Risk Analyst Jobs in Ontario

Credit Risk Analyst information

See Ontario salary details

$16

$38

$66

How much do credit risk analyst jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for credit risk analyst in Ontario is $38.23, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $41.83 per hour, depending on experience, location, and employer.

What does a credit risk analyst do?

A Credit Risk Analyst assesses the creditworthiness of individuals or organizations by analyzing financial data, credit reports, and economic conditions. Their main goal is to determine the likelihood that a borrower will default on their financial obligations. They use statistical models, risk assessment tools, and industry knowledge to evaluate risk and help lenders make informed lending decisions. Credit Risk Analysts often prepare reports, recommend risk mitigation strategies, and monitor existing credit portfolios for potential risks.

What does a credit risk analyst do?

A credit risk analyst evaluates the creditworthiness of individuals or businesses seeking loans or credit cards. As a credit risk analyst, you must be systematic and thorough in examining each applicant’s financial information to provide a recommendation of whether or not your employer should grant credit to the applicant. Essentially, you are evaluating the risk to reward ratio of each loan applicant. Your job duties include the analysis of credit scores and credit reports, payment history, bank statements, and other financial statements. Depending on the scope of your job, you may collect this information directly from clients and inform them if the institution can approve or deny their credit or loan application.

What are the key skills and qualifications needed to thrive as a credit risk analyst, and why are they important?

To thrive as a Credit Risk Analyst, you need strong analytical skills, a solid understanding of financial principles, and typically a degree in finance, economics, or a related field. Familiarity with risk assessment tools, statistical software (such as SAS or R), and financial modeling systems is often required, along with relevant certifications like FRM or CFA being advantageous. Attention to detail, effective communication, and sound judgment are essential soft skills for presenting findings and collaborating with stakeholders. These competencies are crucial for accurately assessing creditworthiness, minimizing financial risk, and supporting informed lending decisions.

What are some common challenges faced by credit risk analysts when assessing new clients or loan applications?

Credit Risk Analysts often encounter challenges such as limited financial data, rapidly changing market conditions, and the need to balance risk with business growth objectives. They must carefully analyze incomplete or inconsistent client information while ensuring compliance with regulatory requirements. Collaborating with relationship managers and other departments is essential to gather additional insights and make informed recommendations, making strong communication and analytical skills crucial in overcoming these challenges.

What is the difference between Credit Risk Analyst vs Credit Analyst?

AspectCredit Risk AnalystCredit Analyst
Primary FocusAssessing the risk of default on loans and credit productsEvaluating creditworthiness of individual or business applicants
Required CredentialsTypically a degree in finance, economics, or related field; certifications like CFA or credit-specific coursesSimilar credentials; often the same certifications or degrees
Work EnvironmentFinancial institutions, risk management departmentsBanks, lending institutions, credit departments
Industry UsageCommonly used in risk assessment and managementPrimarily in lending and credit evaluation

While both roles involve evaluating credit, a Credit Risk Analyst focuses on assessing the overall risk associated with credit portfolios, whereas a Credit Analyst evaluates individual credit applications. The roles often overlap in credentials and work environment, but their specific focus differs within the credit industry.

How much does a credit risk analyst earn?

The average salary for a credit risk analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications can earn higher salaries and bonuses.

Is a credit risk analyst entry level?

A credit risk analyst can be an entry-level position, often requiring a bachelor's degree in finance, economics, or related fields. Some roles may require prior internship experience or familiarity with financial analysis tools, but many companies offer training for new graduates. Advancement typically depends on experience, skills, and certifications such as the CFA or credit analysis courses.

What is the average salary of a Credit Risk Analyst?

The average salary of a Credit Risk Analyst typically ranges from $60,000 to $85,000 per year, depending on experience, location, and industry. Professionals in this role often require strong analytical skills and knowledge of financial modeling tools.
More about Credit Risk Analyst jobs

What are the most commonly searched types of Credit Risk Analyst jobs in Ontario?

The most popular types of Credit Risk Analyst jobs in Ontario are:

What are popular job titles related to Credit Risk Analyst jobs in Ontario?

For Credit Risk Analyst jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Credit Risk Analyst jobs in Ontario look for?

The top searched job categories for Credit Risk Analyst jobs in Ontario are:

What cities in Ontario are hiring for Credit Risk Analyst jobs?

Cities in Ontario with the most Credit Risk Analyst job openings:

What are popular job titles related to Credit Risk Analyst jobs in ON?

For Credit Risk Analyst jobs in ON, the most frequently searched job titles are:

Credit Risk Analyst jobs near you
Infographic showing various Credit Risk Analyst job openings in Ontario as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 60% In-person, and 40% Hybrid job distribution, with an average salary of $79,512 per year, or $38.2 per hour.

VP credit Risk & Analytics

Chad Management Group

Toronto, ON • On-site

CA$160K - CA$180K/yr

Full-time

Re-posted 28 days ago

Job description

VP Credit Risk & Analytics

Cambridge ON

With over $1Billion in loans funded, our client has helped hard-working Canadians with personalized money solutions with more flexibility than traditional banks across both its retail and digital channels. They are a member of the Canadian Consumer Finance Association, fully licensed lender with 110+ branches across Ontario. The company believes their customers deserve clear, understandable loan terms and therefore encourage fair and fully disclosed lending practices. The company is on a National growth path, working to digitize the end to end consumer lending experience.

About The Role:

The successful candidates will play an instrumental role assisting with the development of the company's strategy to enhance its Credit Scoring capabilities and exponentially grow its consumer loan portfolio, in branch and digital.

This role will support the development, enhancement and monitoring of all credit scores used in the entire lifecycle of credit: Acquisitions, Adjudication, Credit Limit Assignment, Portfolio Management, Collections, Fraud, Loss Forecasting.

The successful candidate will bring strong statistical knowledge and experience in a credit risk environment with a proven track record of working with other business leaders from across the organization to drive analytically based strategies.

Qualifications:

  • 5+ years of experience within consumer lending environment
  • Experience building predictive models, regression modeling, credit modelling for auto adjudication, decision trees, logistics regression, etc.
  • Experience with R, Matlab, Python or Base SAS.
  • Demonstrated understanding of credit scores and, their use in business strategies, post implementation use, and monitoring
  • Knowledge of automated decision engines (helped automating decision engines for different clients)
  • Strong project management and communication skills
  • Proven analytical and conceptual thinker who can adapt to a rapidly changing environment
  • Demonstrated ability in working within team and collaborating with multiple stakeholders to understand issues and solve problems
  • Ability to distill and communicate complex analytic recommendations to both technical and non-technical stakeholders, both orally and in written presentations
  • Educational backgrounds in Applied Statistics, Computer Science, Risk Management, Financial Engineering, Statistical Modelling