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Added 2 months ago
TH
Manager, Data Science (Askuity division)
The Home Depot
Toronto, ON
- Full-time
Lead and mentor a team of data scientists in developing AI-powered solutions, including Generative AI (GenAI), for Fusion.
Added 2 months ago
P
Senior Applied Researcher AI/ML ( CAD)
PointClickCare
Canada
- Full-time
Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into…
Added 4 months ago
GH
Engineering Manager
Greenspace Health
Remote, Canada
- $140,000 to $155,000 CAD / year
- Full-time
- Remote
Engineering depth (8+ years): Strong full-stack development experience across frontend, backend, APIs, and data. Fluency in or ability to quickly ramp up in our stack: Python,…
Added 1 month ago
KG
Gen AI Developer
K&K Global Talent Solutions INC.
Mississauga, ON
- Full-time
We are looking for an experienced and innovative Generative AI Developer to design, develop, and deploy intelligent AI-driven applications. The ideal candidate should have strong expertise…
Added 1 month ago
SimCorp Dimension (SCD) Specialist
Munich Re
Toronto, ON
Successful candidates must be prepared to relocate to the specified job location in the job posting and will be employed directly under the hiring entity’s contractual terms.
Added 1 month ago
TA
AI Engagement Lead
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Lead AI/GenAI engagements from discovery and solution definition through development, deployment, and production.
Added 5 months ago
F
Machine Learning Engineer
FactualIQ
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
5+ years of experience building and deploying ML models in production environments, with recent hands-on experience in LLM or GenAI systems.
Added 6 months ago
S
Software Architect - AI Accelerated Engineering Lead / Architecte Logiciel
Slalom
Montreal, Quebec
- Full-time
Gérer des équipes pilotées par GenAI : orchestrer des environnements multi-développeurs où agents IA et ingénieurs collaborent - en assurant productivité, qualité et adoption responsable.
Added 3 months ago
EN
Sr Principal SW Systems Engineer (10342)
Extreme Networks
Toronto, ON
- Full-time
Proven track, success record of ownership from Ideation to productization with GenAI and Multi Agent solutions either in a large corporation Or in a startup
Added 1 month ago
DI
Test Automation Developer - Winter 2027 Co-op/Intern
Definity Insurance Company
Waterloo, ON
- Full-time
Experience in Large Language Model (LLM), Machine Learning (ML), Generative AI (GenAI), and Agentic AI
Added 1 month ago
Artificial Intelligence & Data Architect (Developer)
BMO
Toronto, ON · FCP
Experience with GenAI, LLMs, or reinforcement learning in production environments and AI solution delivery.
Added 1 month ago
EN
Senior Full Stack Developer – Generative AI & Autonomous Agents - Toronto, Canada - Hybrid (10038)
Extreme Networks
Toronto, ON
- Full-time
We are seeking an experienced Senior Full Stack Developer with deep expertise in backend systems (Java, Python, microservices) and modern UI frameworks (Angular, React) to join our…
Added 2 months ago
C
Machine Learning Engineer
Clio
Calgary, AB · Burnaby, BC · Vancouver, BC · Toronto, ON
- Full-time
We at Clio have an amazing team that is on a mission to transform the legal experience for all, and our engineering team’s goal is to deliver an incredible experience to our customers. In…
Added 4 months ago
KC
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
Translate use cases into production-ready GenAI and agentic AI solutions, including RAG architectures, intelligent assistants, and AI-enabled workflows.
Added 3 months ago
M
AI Engineer
Morningstar
Toronto, Ontario
- Full-time
Our team is responsible not only for delivering GenAI capabilities, but also for solving the underlying challenges that make them production-ready - document vectorization, caching…
Added 6 months ago
JA
AI Engineer - Banking Domain
Jay Analytix
Montreal, Quebec
- Contract
Build and deploy ML and GenAI solutions for banking use cases (fraud, AML, credit scoring, customer analytics).
Added 4 months ago
KC
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
Translate use cases into production-ready GenAI and agentic AI solutions, including RAG architectures, intelligent assistants, and AI-enabled workflows.
Added 5 months ago
T
Senior Software Engineer, Developer Experience
Thumbtack
Remote, Canada
- Full-time
- Remote
The Developer Experience (DevEx) team makes Thumbtack's ~250 engineers more productive. We own the AI-powered developer workflows, cloud development environments, and internal developer…
Added 2 months ago
IF
Senior Full-Stack Software Developer (Python/React)
Intact FC
Toronto, ON · Montreal, QC
- Full-time
We’re looking for a Senior Full-Stack Software Developer (Python/React) to join our growing AI Engineering team and build reliable, scalable AI-powered products across distributed systems,…
Added 5 months ago
A
Intermediate Software Engineer
AltaML
Calgary, AB · Edmonton, AB · Toronto, ON
- Full-time
Strong fundamentals in testing, Git, and at least one of Python, TypeScript, or C#.
Added 4 months ago
IF
Senior Full stack AI Developer (Python & Angular/React)
Intact FC
Montreal, Quebec
- Full-time
Flexible work arrangements and a hybrid work model
Added 2 months ago
PC
Credit Risk Modelling Senior Associate
Pwc Canada
Toronto, ON
- Full-time
Our team helps financial institutions with predictive modeling needs, including but not limited to, measure and manage the risk associated with borrowers, counterparties or other third…
Added 6 months ago
P
Credit Risk Modelling Senior Associate
PwC
Toronto, Ontario
- Full-time
Our team helps financial institutions with predictive modeling needs, including but not limited to, measure and manage the risk associated with borrowers, counterparties or other third…

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PwC

Credit Risk Modelling Senior Associate

Toronto, ON, Canada

The salary range for this position is $73,400 - $122,400. · Full-time

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Job details

Pay: The salary range for this position is $73,400 - $122,400.
Job type: Full-time
Posting language: English · French
Posted: Apr 16, 2026

Original job description

This listing includes English and French.

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Financial Risk

Management Level

Senior Associate

Job Description & Summary

A career in our Financial Services Risk & Regulatory Group - Financial Risk Management Credit Risk Modelling practice will provide you with the opportunity to help financial institutions rethink their approach to risk by developing a distinctive strategy and creating capabilities and performance. We play an important part in helping our clients assess, design and develop solutions that not only help them manage risk but also transform risk and complexity into a sustainable advantage.

Our team helps financial institutions with predictive modeling needs, including but not limited to, measure and manage the risk associated with borrowers, counterparties or other third parties who have a financial or contractual commitment to them, expected credit loss measurement (IFRS9 and CECL), capital measurement/stress testing. As part of the team, you’ll help with credit risk modeling, model risk management as well as AI/ML/GenAI modeling for financial institutions.

Meaningful work you’ll be part of

As a Credit Risk Modelling Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Responsibilities include but are not limited to:

Model development, validation, internal audit of Retail and Wholesale credit risk methodologies including obligor and facility risk rating, Basel regulatory capital and economic capital models, allowance for loan and lease loss models (e.g., IFRS9). Assist assurance teams with reviews of clients’ model development and validation processes
Artificial Intelligence (AI)/machine learning (ML)/Generative AI (GenAI) model development and validation
Model risk governance and controls related activities supporting clients in managing model risk across multiple asset classes
Collaborate with the team members at various levels to lead and develop compelling client proposals, white papers, thought leadership and points of view, describing the business challenge and proposed business solution on the topics such as Machine Learning, GenAI and climate risk modeling, etc.
Build and maintain effective, trusting and collaborative client relationships

Experiences and skills you’ll use to solve

Proficient experience and exposure to financial services risk practices, credit risk modeling including retail and wholesale credit modeling techniques for adjudication, capital management, and allowance modeling/ or calculations (e.g. IFRS9)
Development, validation and assessment of quantitative credit risk measurement methodologies
Proficient experience and exposure to AI/ML modeling, including theoretical approach and related technology and platforms; significant experience and proven ability in at least one of the main AI platforms: Vertex AI, Azure AI, etc. is preferred
Solid understanding and knowledge of credit risk processes, credit risk analytics, risk rating methodologies, risk management policies and risk management organization structures
Significant experience and proven ability in at least one of the following programming languages/software: Python, R, SQL, SAS, C++, etc.
Master’s degree in Statistics, Mathematics, Physics, Engineering, Financial Engineering, Data Science or other relevant fields
PRM, FRM or CFA designation would be an asset
Proven abilities, especially creative problem-solving, to utilize credit risk management software, data and methodology in the completion of client engagements, including leveraging related technology vendors and their application
Strong writing skills demonstrated through the ability to draft proposals, reports, presentations, etc.
Strong verbal and written communication skills demonstrated through interactions with other teams/team members at all levels
Demonstrated ability to manage and prioritize multiple projects
PwC Canada is committed to cultivating an inclusive, hybrid work environment. Exact expectations for your team can be discussed with your interviewer

This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.

The salary range for this position is $73,400 - $122,400. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Why you’ll love PwC

We’re inspiring and empowering our people to change the world. Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwc

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Métis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Actuarial Science, Analytical Thinking, Communication, Complex Data Analysis, Creativity, Embracing Change, Emotional Regulation, Empathy, Financial Data Mining, Financial Modeling, Financial Risk Analysis, Financial Risk Management, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Presenting Financial Reports, Risk Analysis, Risk Model Implementation, Self-Awareness, Statistical Analysis Software, Statistical Consulting {+ 3 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

We’re committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi.L’utilisation de l’intelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement, nous comptons sur l’IA pour améliorer votre expérience. Par exemple, pendant l’examen du curriculum vitæ ou l’élaboration d’une liste de recommandations personnalisées, un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour l’entrevue. L’IA nous aide à mieux lutter contre les préjugés, car l’évaluation des candidats se fait de façon juste et équitable, sans que les informations d’identification comme le nom ou le sexe soient connues. Elle nous permet également de mieux repérer les bons candidats pour un poste et d’évaluer le lien entre leurs compétences, leur expérience et leurs chances de réussir chez PwC Canada. Bien que l’IA facilite certaines étapes de notre processus de recrutement, les décisions finales d’embauche sont toujours prises par des personnes. Pour en savoir plus sur l’utilisation et la protection de vos données personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).

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More about this job

Responsibilities

You will develop and validate credit risk models, including retail and wholesale methodologies, while supporting AI/ML and GenAI integration for financial institutions. Additionally, you will collaborate with teams to create client proposals and provide expert insights on risk management and regulatory capital.

Requirements

Candidates must possess a Master's degree in a quantitative field and significant experience in credit risk modeling and programming languages like Python, R, or SQL. Strong communication skills and professional designations such as PRM, FRM, or CFA are highly valued for this role.

Skills

Credit risk modeling
Financial risk management
Model development
Model validation
IFRS9
CECL
Python
R
SQL
SAS
C++
Machine learning
Generative AI
Capital measurement
Stress testing
Quantitative analysis

Benefits

Competitive compensation
Variable incentive pay programs
Wellbeing support
Flexibility programs

Visa sponsorship

Not detected in the job text

Keywords

Credit Risk Modelling
Financial Services
IFRS9
CECL
Basel Regulatory Capital
Economic Capital
AI
Machine Learning
GenAI
Python
R
SQL
SAS
C++
Vertex AI
Azure AI
Model Risk Management
Climate Risk Modeling
Quantitative Analysis
Risk Rating
Data Science
Financial Engineering
PRM
FRM
CFA
Regulatory Compliance
Stress Testing
Model Governance
Risk Analytics
Consulting

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