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G R Jobs in Ontario (NOW HIRING)

Data Scientist

Toronto, ON ยท On-site +1

... g., logistic regression, decision trees, gradient boosting, neural networks). * Proficiency in programming languages such as Python, R, or SAS; SQL experience essential. * Solid understanding of ...

Oversee daily accounting tasks (A/R, A/P, payroll, reconciliations) and monthly/quarterly closes ... Comfortable with cloud-based accounting platforms (e.g., Dynamics 365) and BI/reporting tools (e.g ...

Oversee daily accounting tasks (A/R, A/P, payroll, reconciliations) and monthly/quarterly closes ... Comfortable with cloud-based accounting platforms (e.g., Dynamics 365) and BI/reporting tools (e.g ...

Perform a wide range of diagnostic radiographic procedures (e.g., general X-rays, theatre, ... Good understanding of IR(ME)R, health & safety, infection control, and patient confidentiality ...

Travel Consultant (French Speaking)

Toronto, ON ยท On-site +1

CA$39K - CA$41K/yr

Hey there, we're G Adventures. We're one of the world's leading small group travel companies, and we've always believed that travel isn't just about where you go - it's about how it changes you. For ...

Proficiency with analytical/programming tools (e.g., Python, SAS, R, SQL, MATLAB, C++) and advanced Excel; able to independently design and execute validation tests. * Excellent written, presentation ...

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G R information

What are G R?

G R typically refers to 'Guest Relations' professionals, who are responsible for ensuring guests have a positive experience in hospitality settings such as hotels, resorts, and event venues. Their duties include greeting guests, handling complaints or special requests, providing information, and coordinating with other departments to meet guest needs. Guest Relations staff play a key role in maintaining customer satisfaction and building loyalty by addressing concerns promptly and professionally. The position often requires excellent communication skills, patience, and the ability to multitask in a fast-paced environment.

What are some common challenges faced by G R professionals in their day-to-day work?

G R professionals often encounter challenges such as managing multiple stakeholder expectations, keeping up with evolving industry regulations, and ensuring effective communication across departments. Balancing deadlines while maintaining high-quality results can be demanding, especially in fast-paced environments. Additionally, adapting to new technologies and continuous learning are essential for success in this role.

What are the key skills and qualifications needed to thrive as a General Recruiter, and why are they important?

To thrive as a General Recruiter, you need a solid understanding of talent acquisition processes, candidate evaluation, and often a bachelor's degree in human resources or a related field. Familiarity with applicant tracking systems (ATS), HRIS platforms, and sourcing tools like LinkedIn Recruiter is typically required. Exceptional interpersonal, organizational, and negotiation skills help recruiters build strong relationships with both candidates and hiring managers. These abilities are crucial for efficiently matching top talent to organizational needs, ensuring a positive hiring experience, and supporting overall business growth.

What is the difference between G R vs Customer Service Representative?

AspectG RCustomer Service Representative
Required credentialsHigh school diploma or equivalent; some roles may require technical certificationsHigh school diploma or equivalent; customer service training often preferred
Work environmentCall centers, retail, or service industriesCall centers, retail stores, or corporate offices
Employer and industry usageRetail, telecommunications, hospitalityRetail, telecommunications, banking, and service sectors
Common search and comparison intentUnderstanding job roles, requirements, and career pathsCustomer interaction, problem-solving, and communication skills

G R and Customer Service Representative roles often share similar work environments and industry usage. While G R may focus more on specific technical or operational tasks, both roles require strong communication skills and customer interaction. The main difference lies in the specific job functions and certifications needed, with G R roles often involving more technical knowledge depending on the industry.

What cities in Ontario are hiring for G R jobs? Cities in Ontario with the most G R job openings:
Infographic showing various G R job openings in Ontario as of June 2026, with employment types broken down into 84% Full Time, 13% Part Time, 2% Temporary, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Data Scientist

Qfin

Toronto, ON โ€ข On-site, Remote

Other

Posted 4 days ago


Job description

Role Overview

As a Senior Credit Risk Modeling โ€“ Data Science, you will be an individual contributor responsible for developing, validating, and maintaining predictive credit risk models for our unsecured personal lending products. You will work closely with data science, risk, and business teams to optimize risk strategies and enhance the overall credit decisioning framework.


Key Responsibilities

  • Lead the development of credit risk predictive models (e.g., PD, LGD, EAD, propensity to default, credit scoring models) for lending business.
  • Conduct in-depth data analysis and feature engineering using internal and external data sources to improve model performance.
  • Validate, back-test, and monitor existing credit risk models to ensure predictive accuracy and regulatory compliance.
  • Partner with business and operations teams to integrate model outputs into lending strategies and decisioning processes.
  • Develop and maintain documentation for model development, validation, and governance purposes in line with regulatory expectations.
  • Provide insights on portfolio risk trends, early warning indicators, and potential loss drivers.
  • Mentor junior analysts and contribute to building a strong modeling and analytical culture within the team.


Required Qualifications & Experience

  • Bachelorโ€™s or Masterโ€™s degree in Statistics, Mathematics, Economics, Data Science, or a related quantitative field.
  • 5โ€“7 years of experience in credit risk modeling within a lending environment.
  • Strong expertise in statistical modeling, machine learning, and predictive analytics (e.g., logistic regression, decision trees, gradient boosting, neural networks).
  • Proficiency in programming languages such as Python, R, or SAS; SQL experience essential.
  • Solid understanding of credit risk concepts, portfolio management, and lending business processes.
  • Excellent problem-solving, communication, and stakeholder management skills. Preferred Skills


Preferred

  • Experience with cloud-based data platforms or modern analytics tools.
  • Familiarity with alternative data usage in credit risk models.
  • Exposure to model governance and audit processes in regulated financial institutions.
  • Experience with model validation frameworks and regulatory compliance requirements in Canada (OSFI) or equivalent international standards.


What We Offer

  • Competitive base salary + performance bonus + equity package.
  • Fast-growth startup environment with direct impact on product and P&L.
  • Flexible work model (hybrid/remote options).
  • Learning budget, health benefits, and team culture focused on data and innovation.