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Ai Math Training Jobs in Quebec (NOW HIRING)

Scalable Systems & Infrastructure · Build and operate distributed training and inference pipelines ... Required Qualifications · PhD or MS in Computer Science, Machine Learning, Applied Mathematics ...

... complex AI safety problems. * Collaborate with mathematicians and other specialized research ... Proven experience in the training, adaptation, and/or fine-tuning of frontier models across a ...

Data Analyst - AI focused in Hardware Manufacturing, Quality & Reliability Role Summary This role ... Facilitate change management through documentation, communication plans, and process training.

This role aims to strengthen the ability to address complex problems and deliver concrete AI ... mathematics, statistics, or a related field (a master's degree is an asset). * Advanced level of ...

This role aims to strengthen the ability to address complex problems and deliver concrete AI ... mathematics, statistics, or a related field (a master's degree is an asset). * Advanced level of ...

This role aims to strengthen the ability to address complex problems and deliver concrete AI ... mathematics, statistics, or a related field (a master's degree is an asset). * Advanced level of ...

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Ai Math Training information

What are some common challenges faced in an AI Math Training role?

One of the main challenges in an AI Math Training position is translating complex mathematical theories into practical algorithms that can be efficiently implemented in machine learning models. You may also encounter difficulties when training models on large datasets, balancing computational resources with accuracy, and ensuring models generalize well to unseen data. Collaboration with data scientists, engineers, and domain experts is frequent, requiring strong teamwork and communication skills. Staying current with rapidly evolving AI and mathematical techniques is essential for success and ongoing career development in this field.

What are the key skills and qualifications needed to thrive in the Ai Math Training position, and why are they important?

To thrive in an AI Math Training role, you need a strong background in mathematics, statistics, and machine learning, often supported by a degree in mathematics, computer science, or a related field. Experience with programming languages (such as Python or R), deep learning frameworks (like TensorFlow or PyTorch), and relevant AI or data science certifications are typically required. Strong analytical thinking, clear communication, and problem-solving abilities help in conveying complex concepts and collaborating with diverse teams. These skills are essential for effectively developing and training AI models that rely on advanced mathematical principles and for communicating technical findings to both technical and non-technical stakeholders.

What is an AI Math Training job?

An AI Math Training job involves developing, refining, and optimizing mathematical models used in artificial intelligence systems. This role often includes curating datasets, training AI algorithms, and ensuring mathematical accuracy in machine learning models. Professionals in this field typically have expertise in linear algebra, calculus, statistics, and optimization techniques. They work closely with data scientists and engineers to improve AI efficiency and reliability.

What job categories do people searching Ai Math Training jobs in Quebec look for? The top searched job categories for Ai Math Training jobs in Quebec are:
Infographic showing various Ai Math Training job openings in Quebec as of July 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 68% Physical, 3% Hybrid, and 29% Remote job distribution.

Model Risk Governance Specialist AI

National Bank

Montreal, QC • Hybrid

Full-time

Medical, Retirement

Re-posted 21 days ago


Job description

A career as a Model Risk Governance Specialist - AI Governance in the Model Risk Management team at National Bank means acting as a governance specialist for artificial intelligence, machine learning, generative AI and other advanced analytics models. In this role, you will contribute to the oversight and enhancement of the Bank’s model risk governance framework, with a specific focus on ensuring that AI models and AI-enabled solutions are appropriately identified, assessed, classified, documented, monitored, controlled and reported throughout their lifecycle. Your job As a Model Risk Governance Specialist which a focus on AI Governance, you will: Support the development, implementation and continuous enhancement of the Bank’s AI model governance practices for artificial intelligence, machine learning, generative AI, large language models and other emerging model types within the model risk management framework. Perform, review and challenge risk assessments for AI models and AI-enabled use cases, considering inherent risk, materiality, complexity, data sensitivity, explainability, usage, business impact, model limitations, control environment and potential customer, operational, compliance or reputational risks. Contribute to the development and ongoing enhancement of AI model risk assessment methodologies, including risk-tiering criteria, scoring logic, questionnaires, decision criteria, assessment templates and supporting documentation. Help define and maintain lifecycle governance controls for AI use cases, including intake, ownership, documentation standards, approval, validation requirements, ongoing monitoring, human oversight, issue management, escalation and retirement. Collaborate with model owners, model developers, validators, technology, data, privacy, cybersecurity, compliance, legal, operational risk and business stakeholders to ensure AI-related risks are identified, assessed and managed in alignment with internal and regulatory requirements. Support the integration of AI governance requirements into model inventory and workflow processes, ensuring that AI models and AI-enabled solutions are accurately captured, classified, monitored and reported. Monitor changes in the AI model portfolio, including new use cases, material changes, validation outcomes, approval status, monitoring results, remediation actions and model retirements. Prepare governance reporting, dashboards and presentations on AI model risk exposure, risk assessment results, portfolio trends, emerging risks, issues and remediation progress for senior management and governance committees. Identify governance gaps, control weaknesses and opportunities to improve AI model governance, and recommend practical enhancements to policies, standards, procedures, tools, controls and reporting. Support change management activities related to AI governance, including stakeholder communications, training material, implementation support, advisory guidance and adoption monitoring. Monitor industry practices, audit observations and evolving expectations related to AI governance and model risk management, and assess their impact on the Bank’s governance framework. Promote a strong model risk culture by influencing stakeholders, challenging practices when required and supporting consistent application of AI governance requirements across the organization. Your team Within the Model Risk Management group, you are part of a team of professionals who provide second line of defence oversight for model risk across the Bank. You report to the Senior Director, Model Risk Governance. Our team stands out for its analytical rigour, proactive governance mindset, collaborative approach and ability to influence model stakeholders across the Bank. We ultimately aim to offer you maximum flexibility and quality of life. This notably means a hybrid work environment, as well as adaptable working hours. The Bank values continuous development and internal mobility. Our personalized training programs enable you to master your job and develop new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning Center as well as coaching and mentoring support are available to you at all times. Requirements Hold a Bachelor’s degree in finance, economics, mathematics, statistics, engineering, computer science, data science, risk management or a related field and 7 years of relevant experience; OR a master’s degree in a quantitative, finance, technology or risk-related field and 5 years of relevant experience. Experience in model risk management, AI governance, risk governance, model validation, quantitative analysis, analytics governance, technology risk, internal audit, compliance or regulatory governance in financial services. Strong knowledge of model risk management principles, including model lifecycle governance, model identification, classification, inventory management, validation, approval, monitoring, issue management and reporting. Knowledge of AI governance, machine learning models, generative AI risks, responsible AI practices, model explainability, data risk, model limitations and control design. Experience performing or reviewing risk assessments, including inherent risk assessments, materiality assessments, risk-tiering methodologies, control assessments or governance reviews. Experience contributing to policies, standards, procedures, governance frameworks, risk assessment methodologies, dashboards, management reporting or change management initiatives. Strong analytical skills with the ability to synthesize complex information, identify key risks and translate technical topics into clear conclusions, recommendations and action plans. Ability to influence and collaborate with senior stakeholders, business lines, model owners, validators, technology teams, risk partners, compliance, legal, cybersecurity, privacy and internal audit. Advanced proficiency with Microsoft Office, especially Excel and PowerPoint; experience with data analysis, BI tools, SQL, Python or workflow/GRC platforms is an asset. Excellent written and verbal communication skills. Your benefits In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as: * Health and wellness program, including many options * Flexible group insurance * Generous pension plan * Employee Share Ownership Plan * Employee and family assistance program * Preferential banking services * Involvement in community initiatives * Telemedicine service * Virtual sleep clinic We have an offer that keeps up with trends as well as your needs and those of your family. Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged. Making a bold move in a people-first environment We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees. We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team? Join us!