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Added 5 months ago
LI
Python Developer
LanceSoft, Inc.
Montreal, Quebec
- Contract
Strong Python and Perl programming skills, writing secure, testable, robust code.
Added 3 months ago
Junior to Intermediate Data Engineer
Talents LGS
Montreal, QC
At IBM Consulting FutureNow, we unite human expertise and artificial intelligence to deliver client results with certainty, speed, and value. Fueled by LGS, with offices in Montreal and…
Added 3 months ago
JI
Project Manager, Cost Management
J.D. Irving, Limited
Dartmouth, NS
- Full-time
Apply various tools (e.g. Microsoft Excel, Primavera P6, SQL, Tableau, Alteryx, Python) to accomplish project goals.
Added 3 months ago
Vice President (m/f/d) Index Management – Equity Rebalance
Solactive AG
Toronto, ON
Proficiency in Python is required while experience in VBA, MATLAB, or SQL is an asset.
Added 3 months ago
Senior Data Analyst
Government of Alberta
Edmonton, AB
…measurement, and evaluation methodologies while working closely with stakeholders across the Ministry, other Government of Alberta ministries, the Government of Canada, and external…
Added 3 months ago
R
Staff Software Engineer
RBGlobal
Burnaby, BC
- Full-time
Strong proficiency in Python (required) and SQL, with a solid foundation in object-oriented programming; experience with additional languages such as Java or Scala is a plus.
Added 1 month ago
H(
Senior Business Analyst (Investment Valuation Solutions)
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- $103,000 to $153,000 CAD / year
- Full-time
Hands-on proficiency with SQL and Python, and the ability to read and reason about code in other languages.
Added 1 month ago
EB
Intern - Credit Risk, Winter 2027
EQ Bank
Toronto, ON
- Full-time
Hands on experience with programming languages such as PySpark, SQL, or Python.
Added 1 month ago
T
Data Analyst (BI Specialist)
Tayco
Toronto, ON · Etobicoke, ON
- $50,000 to $60,000 CAD / year
- Full-time
…maintains Power BI reports and data models, writes and tunes the SQL beneath them, and maintains the Crystal Reports used for operational and printed reporting. Working alongside two full…
Added 1 month ago
S
Fraud Product and Operations Lead
Scene+
Toronto, ON
- Full-time
…using data to inform decisions and improve controls. Experience with SQL or Python is an…
Added 1 month ago
H(
Senior Business Analyst (Investment Valuation Solutions)
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- $103,000 to $153,000 CAD / year
- Full-time
Hands-on proficiency with SQL and Python, and the ability to read and reason about code in other languages.
Added 5 months ago
BP
Application Production Support Specialist
BNP Paribas
Montreal, Quebec
- Full-time
…integration points. Continuously update technical skills to keep pace with the complexity and evolution of the…
Added 5 months ago
TC
UNPAID Internship: AWS Cloud Engineering Intern Summer/Spring 2026
The Commons XR
Remote, Canada
- Remote
…seeking unpaid interns who are pursuing Cloud, Computer Science with Security and/or CyberSecurity professional experiences. You must have a foundation in our platforms to be able to learn,…
Added 5 months ago
T
Sr. Controls Engineer, Geartrain Manufacturing, Optimus
Tesla
Langley, British Columbia
- Full-time
Proficiency in script-based programming (e.g., Python, Go, SQL)
Added 5 months ago
KC
Manager, Data Platform(s) Architect, Data & AI
KPMG Canada
Toronto, Ontario
- Full-time
Expert skills in SQL, Python, and distributed data processing.
Added 5 months ago
KC
Manager, Data Platform(s) Architect, Data & AI
KPMG Canada
Vancouver, British Columbia
- Full-time
Expert skills in SQL, Python, and distributed data processing.
Added 5 months ago
KC
Manager, Data Platform(s) Architect, Data & AI
KPMG Canada
Calgary, Alberta
- Full-time
Expert skills in SQL, Python, and distributed data processing.
Added 2 months ago
KA
Data Engineer (Intermediate - Senior)
KF Aerospace
Kelowna, BC
- $73,000 to $114,000 CAD / year
- Full-time
Strong experience with SQL Server, Microsoft Fabric, Azure Synapse, and Power BI.
Added 3 months ago
C
Senior Data Analyst
CarePartners
London, ON · Waterloo, ON
- Full-time
Use SQL, Python, and R to extract, clean, transform, analyze, and prepare data for reporting, dashboards, and business analysis.
Added 3 months ago
B
AI Scientist & Engineer, Assurance Innovation Lab
BDO
London, ON · Toronto, ON · Ottawa, ON · Oakville, ON · Kitchener, ON · Markham, ON · Vancouver, BC
- Full-time
Data & Vector Infrastructure: Hands-on experience with Pinecone, Milvus, Weaviate, and standard SQL/NoSQL databases
Added 3 months ago
Sr Guidewire Developer -PolicyCenter
Aviva
Markham, ON
5+ years of experience with coding in multiple programming languages such as C#, Java, Python, etc.
Added 1 month ago
IS
Data Platform Engineer
ITMC Systems, Inc
Toronto, ON
- Contract
Note: This is primarily a Backend Platform Engineering (Python) role with strong data development capabilities - not a traditional heavy Data Pipeline/ETL role. Candidates will be evaluated…
Added 1 month ago
R
Senior Data Engineer
RBC
Toronto, ON
- Full-time
…across multiple enterprise systems. The Data Engineer works with department and lines of business subject matter expert (SMEs) across the enterprise to meet departmental and organizational…
Added 1 month ago
Reporting Specialist
Acciona
ON · CAN - Ontario Line North
Prepare monthly and weekly report submissions in accordance with project requirements.
Added 1 month ago
P
Credit Tech senior Manager
PwC
Toronto, ON
- Full-time
Proficiency with modern data engineering and modeling tools and languages, such as Python, R, SQL, PySpark, and Spark

PwC

Credit Tech senior Manager

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English · French
Posted: Sep 11, 2026

Original job description

This listing includes English and French.

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Actuarial Services

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively.

In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks.

The Opportunity:

As a Credit Risk Technology Senior Manager, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will include, but isn’t limited to:

Lead client engagements focused on credit risk technology and credit risk model modernization, spanning model development, validation, deployment, and monitoring, from requirements through go live
Advise on the full credit risk model lifecycle, including PD, LGD, EAD, provisioning and ECL, stress testing, and scoring and decisioning models
Design and implement scalable, production grade data and modeling architectures that support credit risk model calculation, reconciliation, and reporting
Ensure reconciliation between data domains and safeguard data quality, timeliness, and lineage in line with OSFI expectations
Architect and oversee production grade data pipelines and model operationalization across a range of platforms, which may include credit decisioning and scoring platforms (for example, FICO, Moodys), cloud data and analytics platforms (for example, Databricks, Google Cloud, Microsoft Azure, AWS), and statistical and modeling environments (for example, SAS, Python, R)
Advise clients on platform selection and integration based on their existing technology landscape rather than a single vendor solution
Address operational challenges including late arriving data, production failures, recovery processes, and end to end data and model lineage and audit trails
Implement robust model governance, access controls, and controls to meet regulatory and audit requirements
Act as a strategic advisor and thought leader, translating complex model architecture and technology into clear insights for non-technical risk executives
Critically assess client credit risk, model, and technology landscapes to identify mitigation opportunities and craft innovative, customized solutions

What You'll Bring
Your skills, knowledge, and experiences are what set you apart. Here's what we look for:

Demonstrated experience delivering credit risk technology and credit risk model programs, ideally within a technology team, a technology
Hands on experience across one or more credit risk and analytics platforms, such as FICO, Moodys, Databricks, Google Cloud, Microsoft Azure, AWS or SAS
Proficiency with modern data engineering and modeling tools and languages, such as Python, R, SQL, PySpark, and Spark
Deep knowledge of credit risk methodology and credit risk models (for example, PD, LGD, EAD, provisioning and ECL, scoring, and stress testing) and their operational implementation
Data Pipeline and Model Engineering: Building resilient, production grade pipelines and model deployment processes, and handling late arriving data
Operational Resilience: Experience with production failures and recovery processes
Communication: Ability to explain complex model and technology architecture to non-technical risk executives
Strong business acumen, problem solving, report writing, and stakeholder engagement skills
Strong leadership and team management capabilities
A commitment to continuous professional learning to remain at the forefront of regulatory and technology developments

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, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Embracing Change, Emotional Regulation, Empathy, Financial Data Mining, Financial Modeling, Financial Risk Analysis, Financial Risk Management, Inclusion, Influence, Intellectual Curiosity, Learning Agility, Optimism, Presenting Financial Reports, Professional Courage, Rapid Experimentation, Relationship Building {+ 11 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

Lead client engagements focused on credit risk technology, model modernization, and the full lifecycle of credit risk models. Design and implement scalable data architectures while ensuring regulatory compliance and providing strategic advice to risk executives.

Requirements

Requires extensive experience in credit risk technology, model development, and operational implementation within a professional services or technology environment. Proficiency in modern data engineering tools, modeling languages, and a deep understanding of credit risk methodologies are essential.

Skills

Credit Risk
Actuarial Services
Data Modeling
Risk Management
Regulatory Compliance
Python
R
SQL
PySpark
Spark
FICO
Moodys
Databricks
Cloud Computing
Model Governance
Leadership

Visa sponsorship

Not detected in the job text

Keywords

Credit Risk
Actuarial Services
Model Modernization
PD
LGD
EAD
ECL
Stress Testing
Data Engineering
Python
R
SQL
PySpark
Spark
FICO
Moodys
Databricks
Google Cloud
Microsoft Azure
AWS
SAS
Model Governance
Regulatory Compliance
OSFI
Data Lineage
Risk Management
Strategic Advisory
Financial Modeling
Operational Resilience
Audit Trails

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