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Added 1 month ago
B
Senior Cloud Engineer - Terraform, Azure
BDO
Toronto, ON
- Full-time
BDO Digital is looking for a replacement Senior Cloud Engineer to join our team. This is enterprise-scale platform solutioning, not single-application DevOps. You will build a platform or…
Added 1 month ago
AE
Analyst, Revenue Optimization
Avenir Energy
Toronto, ON
- Full-time
…You’ll have the opportunity to work with tools such as Excel, SQL, Python, AI-enabled technologies, and potentially GIS to build better ways of understanding and improving our…
Added 1 month ago
FB
Senior Data Engineer
fgf brands
Toronto, ON · Greater Toronto Area, ON
- Other
Expert in Python and SQL for ETL/ELT logic, data transformation, and orchestration.
Added 1 month ago
FF
Principal Data Scientist
Forward Financing
Remote, Canada
- Full-time
- Remote
…ambiguous initiatives from concept to production. As the most senior individual contributor on the team, you will shape the multi-year data science roadmap, define how models are built and…
Added 1 month ago
Senior Quantitative Analyst
Equitable
Waterloo, ON
Strong technological skills: Primary programming languages C#; proficiency in Python, SQL also required
Added 1 month ago
PC
SAP Data Management Senior Manager
Pwc Canada
Toronto, ON
- Full-time
Knowledge of ETL processes, data profiling and transformation, SQL, Python, and related data-management technologies.
Added 1 month ago
Actuarial Specialist
Gore Mutual Insurance
Toronto, ON · Cambridge, ON · Vancouver, BC
Develop solutions using actuarial software, SQL, Python, R, Earnix, or other analytical tools.
Added 1 month ago
P
SAP Data Management Senior Manager
PwC
Toronto, ON · Ottawa, ON · Vancouver, BC · Calgary, AB
- Full-time
Knowledge of ETL processes, data profiling and transformation, SQL, Python, and related data-management technologies.
Added 1 month ago
EE
Senior Software Engineer
Enerva Energy Solutions
Calgary, AB
- $85,000 to $95,000 CAD / year
- Full-time
We're looking for a Senior Software Developer to shape the technical direction of the tools at the core of our energy and emissions work - including the AI-driven features we think will set…
Added 1 month ago
NB
Senior Data Scientist Implementation and Codification
National Bank of Canada
Richmond Hill, ON
- Full-time
Hands-on experience with SAS, Python, MS Excel (VBA) or SQL.
Added 1 month ago
Senior Software Engineer, Backend
Brex
Vancouver, BC
Experience working with SQL or NoSQL databases
Added 1 month ago
NB
Senior Data Scientist Model Developement and Validation
National Bank of Canada
Richmond Hill, ON
- Full-time
Hands-on experience with SAS, Python, MS Excel (VBA) or SQL.
Added 1 month ago
LC
Manager, Data Science & Merchandising Analytics
Loblaw Companies Limited
Brampton, ON
- Full-time
…in advanced analytics and machine learning. Reporting to the Senior Manager, Merchandising Analytics, you will leverage advanced data techniques to support pricing and planning decisions…
Added 1 month ago
QP
Data Analyst - Portfolio Reporting, Real Estate Debt
QuadReal Property Group
Vancouver, BC
- Full-time
Advanced knowledge of SQL, Power Query, Excel, and Power BI is required. Familiarity with Anaplan or a similar planning tool is an asset. Experience with Tableau or Python is considered a…
Added 2 months ago
N
Bilingual (English/French) Associate Director, Retail Analytics
NielsenIQ
Toronto, ON · Montreal, Québec
- Full-time
Experience with SQL, Databricks, Python, or other analytical programming tools.
Added 1 month ago
C
Senior Data Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
Develop and optimize data transformations and orchestrations using SQL, Python, dbt, Airflow, Glue, PostgreSQL, and Snowflake.
Added 1 month ago
C
Senior Data Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
Develop and optimize data transformations and orchestrations using SQL, Python, dbt, Airflow, Glue, PostgreSQL, and Snowflake.
Added 2 months ago
KA
Data Engineer (Intermediate - Senior)
KF Aerospace
Kelowna, BC
- $73,000 to $114,000 CAD / year
- Full-time
…implementation of scalable data solutions using Microsoft Fabric, Azure, SQL Server, and Power BI…
Added 1 month ago
GS
Business Systems Developer
Grantek Systems Integration
Burlington, ON
- Full-time
…off their careers at Grantek and have grown into successful senior team members who are integral to our client's manufacturing…
Added 1 month ago
MS
EAM – Tech Strategy Metrics & KPI Lead (Hyrbid)
Morgan Stanley
Montreal, QC
- Full-time
…architecture, engineering, cybersecurity, data, infrastructure, and senior leadership to define trusted, standardized metrics that inform decision-making across Technology Strategy…
Added 1 month ago
EM
PySpark / Databricks Developer (Junior to Intermediate)
Electric Mind
Toronto, ON
- Full-time
- Contract
We're looking for a developer to help build and maintain data pipelines on Databricks for a financial services / wealth management data platform. The platform ingests data from multiple…
Added 1 month ago
Senior Software Engineer – Full Stack (AI First)
Precisely International Jobs
Canada
We are seeking an experienced and technically strong Senior Software Engineer to join our Master Data Management (MDM) product line within Precisely’s Data Integrity Suite. In this role,…
Added 1 month ago
EP
Project Estimation Manager [On-Site, Hybrid or Remote] - Gestionnaire Estimation des Projets [Sur Place, Hybride ou Télétravail] |
EDF power solutions
Montreal, QC
- Full-time
…provide functional coverage and technical continuity for the Senior Data Solutions Engineer during periods of absence or elevated workload demand. As such, the ideal candidate will bring a…
Added 1 month ago
RB
Senior Fraud Analyst Rogers
Rogers Bank
Toronto, ON
- Full-time
…preparation, manipulation, analysis, and visualization, including SQL, Python, Power BI, and Excel, and understanding of relational…
Added 1 month ago
JP
Data Engineer
Jim Peplinski Capital
Calgary, AB
- Full-time
…scratch, solve hard problems, and get things done. We're a small, senior technology team on an ambitious growth trajectory, and this is our first dedicated data role. You won't inherit a…

National Bank of Canada

Senior Data Scientist Model Developement and Validation

Richmond Hill, ON, Canada

Full-time

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Job details

Job type: Full-time
Experience: Minimum 2-3 years of professional experience in quantitative model development or validation for retail or wholesale credit risk.
Posting language: English
Posted: Sep 19, 2026

Original job description

As a Senior Data Scientist in the Credit Risk Analytics team at National Bank, you’ll be responsible for the IFRS 9 and stress testing model development and performance monitoring, as well as IFRS 9 reporting and analytics. This role will also need to support other closely related risk functions that includes RWA, Economic Capital and stress testing. With your experience in credit risk modeling, strong analytical skills, and knowledge of IFRS 9 and regulatory requirements, you’ll have a positive impact on NBC’s credit risk management through building advanced models, efficient and robust risk processes and providing insightful analyses to our senior management.

Your role:

Develop and recalibrate IFRS 9 and stress testing models for the Bank’s wholesale and retail portfolios. Document the data selection, modeling techniques and implementation.
Conduct model backtesting, monitor model performance and propose appropriate model actions when necessary.
Keep abreast of up-to-date modeling methodologies, tools and regulatory requirements.
Conduct IFRS 9 ECL impact assessment for parameter recalibration, economic scenario change, model updates, data migration and process changes.
Work with IFRS 9 production team to implement and test IFRS 9 model changes.
Validate the process inputs and outputs for quality control and governance.
Collaborate with Model Validation, Model Governance, Audit by preparing supporting materials, addressing questions and concerns, and ensuring IFRS 9 model changes are appropriately documented and understood.
Provide in-depth analysis on IFRS 9 results and identify key drivers for ECL movements.
Provide support for ad-hoc requests required by IFRS 9 stakeholders and senior management in a precise and efficient manner.
Contribute to strategic risk initiatives by using analytical skills to project potential losses and make recommendations to limit risk.
Demonstrate insight into internal client's business and develop innovative solutions that create value.

Your team:

As part of the Credit Risk Analytics sector, you’ll be on a team of 24 of colleagues and you’ll report to the Senior Director – Analytics. Our team stands out for expertise in model development, model implementation and risk reporting in IFRS 9, stress testing and capital areas. As some processes are part of the Bank’s month-end or quarter-end reporting to the public or to the regulators, we may work under tight deadline and pressure sometimes.

We offer a wide range of ongoing learning opportunities for your development, including coaching, hands-on learning, training courses and through the collaborating with colleagues who have varied expertise and profiles such as in-depth data analytics, model development, risk programming and presentation to senior management.

Prerequisites:

Masters or PhDs in a relevant field such as Financial Engineering, Finance, Economics, Statistics, Mathematics, Computer Science and Data Science.
Minimum 2-3 years of professional experience in quantitative model development or validation for retail or wholesale credit risk.
Hands-on experience in managing, reconciling, and interpreting large and complex enterprise level data sets.
Knowledge with IFRS 9 and regulatory requirements.
Hands-on experience with SAS, Python, MS Excel (VBA) or SQL.
Excellent analytical skills to identify the causes of risk changes and impact to business and strategy.
Ability to effectively communicate the analysis and explain the results in a simple and concise way.
Strong attention to details and the ability to understand the big picture.
Demonstrated ability to work under pressure and tight deadline.
Exceptional critical thinking skills, learning skills and ability to work independently with limited guidance.
Completion or progression in CFA and/or FRM would be an asset.
Completion of SAS certification would be an asset.
Completion of SAS certification would be an asset.

Languages: English
Required skills: Analytical thinking, Artificial Intelligence, Business Acumen, Communication, Data pipeline, Data-Driven Decision-Making, Detail-oriented, Exploratory Data Analysis, Initiative, Learning Agility, Prioritization, Python, Resiliency, Self-Sufficiency, Teamwork

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!

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More about this job

Responsibilities

The Senior Data Scientist will develop and recalibrate IFRS 9 and stress testing models for wholesale and retail portfolios while monitoring model performance. They will also collaborate with internal stakeholders to ensure robust risk processes and provide insightful analyses for senior management.

Requirements

Candidates must hold a Master's or PhD in a quantitative field and possess at least 2-3 years of professional experience in credit risk modeling. Proficiency in SAS, Python, or SQL, along with a strong understanding of IFRS 9 and regulatory requirements, is essential.

Skills

Credit risk modeling
IFRS 9
Stress testing
SAS
Python
SQL
VBA
Analytical thinking
Data analysis
Risk management
Communication
Critical thinking
Data-driven decision-making
Detail-oriented
Financial engineering
Statistics

Benefits

Health and wellness program
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

Visa sponsorship

Not detected in the job text

Keywords

IFRS 9
Credit Risk
Stress Testing
Data Science
SAS
Python
SQL
VBA
Financial Engineering
Statistics
Mathematics
Economics
Risk Management
RWA
Economic Capital
Model Development
Model Validation
Backtesting
ECL
CFA
FRM
Data Analytics
Wholesale Portfolio
Retail Portfolio
Regulatory Requirements

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