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Validation Analyst Remote Jobs in Toronto, ON (NOW HIRING)

Qfin

Senior Data Scientist

Toronto, ON · On-site +1

Validate, back-test, and monitor existing credit risk models to ensure predictive accuracy and ... Mentor junior analysts and contribute to building a strong modeling and analytical culture within ...

Welocalize

French Gen AI Trainer

Toronto, ON · Remote

Review, evaluate, and validate AI-generated content and data according to project guidelines ... Job Title: Generative AI Analyst - French ( Canada ) * Location: Fully remote in Canada with ...

MacDonald Search Group

Key Account Manager

Toronto, ON · Remote

CA$90 - CA$105K/hr

The position is remote/work from home and can be based anywhere within approximately 90 minutes ... Analyze account performance and market data to identify trends, risks and opportunities. * Use ...

Celestica International LP

QA Engineer

Toronto, ON · Remote

Req ID: 138664 Remote Position: Hybrid Region: Americas Country: Canada State/Province: Ontario ... You will embrace a "Shift-Left" testing culture, analyzing technical specifications alongside ...

Cargill

Utilities Lead (Open to Remote)

Guelph, ON · On-site +1

Analyze resource usage trends and develop more complex operational plans to assist in the ... Possess a valid Canadian Full Class 5 Drivers License in good standing, authorizing you to drive ...

Tenstorrent

Performance Architect, AI HW

Toronto, ON · On-site +1

CA$100K - CA$500K/yr

As an AI Performance Architect, you will model, analyze, and optimize how real AI workloads run on ... Austin, TX; or remote. We welcome candidates at various experience levels for this role. During the ...

Morson Talent

25-026 DevOps Engineer

Toronto, ON · Remote

CA$80 - CA$100/hr

... Remote) Job Overview We are seeking a skilled DevOps Engineer to support our data analytics ... Develop automated testing strategies for data pipelines to validate transformations, integrity, and ...

Epistemix

Data Scientist

Toronto, ON · Remote

Traditional analytical techniques built on historical data were not built for this. Epistemix was ... Collaborate with customer and internal teams to develop, test, and validate simulation models ...

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Validation Analyst Remote information

What does a validation analyst do when working remotely?

A Validation Analyst who works remotely is responsible for ensuring that systems, processes, or products meet specific regulatory and quality standards. They analyze data, prepare validation documents, and may conduct virtual audits or assessments to confirm compliance. Their work often involves collaborating with team members, reviewing documentation, and using specialized software to track validation activities, all from a remote location. Effective communication and strong organizational skills are essential for success in this role.

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

To thrive as a Validation Analyst (Remote), you need a strong background in quality assurance, data analysis, and regulatory compliance, often supported by a relevant degree in life sciences, engineering, or computer science. Familiarity with validation protocols, GxP regulations, FDA guidelines, and proficiency in tools like Microsoft Excel, TrackWise, or Veeva Vault are typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills, especially when coordinating remotely. These skills ensure that systems and processes meet regulatory standards, maintain data integrity, and support organizational compliance in a virtual work environment.

What are some common challenges faced by remote validation analysts, and how can they be addressed?

Remote Validation Analysts often encounter challenges related to communication and collaboration, since they regularly work with cross-functional teams such as QA, IT, and regulatory compliance departments. Ensuring clear, consistent documentation and maintaining open channels through virtual meetings and project management tools can help mitigate misunderstandings. Additionally, staying organized and self-motivated is crucial, as remote work requires strong time management to meet deadlines for validation protocols and reports. Building proactive relationships with colleagues and regularly seeking feedback can also smooth out remote workflow hurdles.

What are popular job titles related to Validation Analyst Remote jobs in Toronto, ON?

For Validation Analyst Remote jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Validation Analyst Remote jobs in Toronto, ON look for?

The top searched job categories for Validation Analyst Remote jobs in Toronto, ON are:

Validation Analyst Remote jobs near you
Infographic showing various Validation Analyst Remote job openings in Toronto, ON as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution.

Senior Data Scientist

Qfin

Toronto, ON • On-site, Remote

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Role Overview

As a Senior Credit Risk Modeling – 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

  • Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Data Science, or a related quantitative field.
  • 8–10years 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.

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