Risk Quant Model Developer
- Montreal, QC, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- 4+ years prior experience in building or validating models – ideally those relevant to banking activities
- Posting language
- English
- Posted
Original job description
Join one of Montreal’s Top Employers in 2026. We are a leading international banking institution fully committed to building a more sustainable future.
The position at a glance
Overall RISK Mission Statements:
We are looking for a Candidate:
What’s In It For You
Alongside a competitive compensation, we provide a comprehensive suite of flexible benefits designed to support your health, wellbeing, and long‑term success:
Health & Wellness – A menu of flexible options for you and your family, including a 24/7 telemedicine service.
Mental‑Health Support – Up to $5,000 per year for sessions with mental‑health practitioners, plus unlimited access through our Employee Assistance Program.
Financial Benefits – A defined‑contribution pension plan and a range of additional financial perks.
Paid Volunteering Days – Take time off to give back to the community.
Learning & Development – Access to high‑quality training, personal‑development programs, and clear pathways for internal career progression across our global organization.
Work‑place flexibility – Hybrid work is available for most roles. You’ll be required in the office at least three days per week, with one of those days being either a Monday or a Friday.
To find out more about our range of benefits, click hre
Diversity, Equity and Inclusion (DE&I) at the heart of our commitments
BNP Paribas is committed to fostering a work environment where all employees can feel heard, valued, safe and supported, and can be their authentic selves.
BNP Paribas recruits, employs, trains, compensates and promotes regardless of race, religion, colour, national origin, sex, disability, age, and other protected status (Employment Equity Act and Canadian Human Right Act).
To learn more about our DE&I commitments, click here
About Us
BNP Paribas, the leading bank in the European Union and a major global financial institution, operates in 63 countries and has nearly 178,000 employees. Its mission is to foster a responsible, sustainable economy by financing and advising clients to the highest ethical standards while addressing environmental, regional development, and social inclusion concerns. With over 1,700 employees in Montreal and Toronto, BNP Paribas in Canada strives to develop long-term relationships with its clients by supporting their business strategies and meeting their financing and investment needs, both locally and abroad.
Our certifications and partnerships
Click here: BNP Paribas in Canada Our job offers
Protect yourself from fraudulent job postings. Emails about jobs at BNP Paribas will always come from addresses ending @bnpparibas.com @us.bnpparibas.com, @ca.bnpparibas.com, or @br.bnpparibas.com. You should be suspicious of emails regarding employment with BNP Paribas coming from any other domains and should not respond. BNP Paribas will never send payments to or request payments from candidates for positions posted by BNP Paribas.
The position at a glance
Overall RISK Mission Statements:
- To advise the Bank’s Management on risk appetite definition.
- To contribute as an objective “second pair of eyes” that risks taken on by the Bank align with its policies.
- To report and alert Bank Management of the status of risks to which the Bank is exposed.
- To contribute to the development and growth of the risk culture within the Group.
- Credit and counterparty risk, market risk, funding and liquidity risk, as well as interest rate and FX risk of the Banking book, insurance risk and operational risk.
- RISK covers all Group’s activities and geographies.
- Provide a holistic view of the risk profile to the Bank’s Management and Board, by coordinating with the relevant Functions to ensure relevant risk assessment, aggregation, and reporting.
- Work on the development of quantitative models for a broad range risk‑management activities, including (but not limited to) credit‑risk modelling and stress‑testing of the bank’s commercial and retail loan portfolios, budgeting, regulatory compliance, climate‑risk assessment, and AI‑driven solutions.
- Follow the established modeling development principles to implement statistical and analytical solutions and be part of the team that develops and implements those solutions.
- Provide support to document analytical solutions in accordance with the Bank’s latest model governance policies.
- Follow proper model monitoring and back testing processes, model change control procedures and versioning protocols.
- Contribute to projects with particular focus on credit risk, climate related risk, and AI driven solutions.
- Collaborate with production analytics team to implement and test the models and to continuously enhance analytic infrastructure.
- Work effectively as a team member with other quantitative analysts at the company.
- Stay up‑to‑date on the latest advances in quantitative risk management and industry best practices for model development.
- Demonstrate passion for exploring innovative quantitative modelling techniques and commit to continuous learning.
We are looking for a Candidate:
- Doctorate, master’s or other advanced degrees in Quantitative fields (Finance, Economics, Actuarial science, financial engineering, etc.)
- 4+ years prior experience in building or validating models – ideally those relevant to banking activities
- Take ownership of the project, proactively plan, research, execute, and oversee projects to ensure timely completion.
- Contribute to innovative initiatives and projects and enrich team or bank culture.
- Provide guidance and support to colleagues, especially junior team members.
- Coding: prior knowledge in Python or R.
- Experience in data exploration, data mining, and data transformation.
- Experience with statistical modeling and Data Science techniques.
- Strong quantitative and statistical skills (time series analysis, regression models, segmentation, AI or machine learning techniques).
- Highly self-motivated, results oriented and capable of independent critical thinking and problem solving.
- Strong verbal and written communications skills.
- Languages: English is mandatory*, French is an asset.
- Given the vast majority of our clients, both internal and external, are based outside of Quebec and Canada, specific language requirements may apply. Professional working proficiency in English language is required.
What’s In It For You
Alongside a competitive compensation, we provide a comprehensive suite of flexible benefits designed to support your health, wellbeing, and long‑term success:
Health & Wellness – A menu of flexible options for you and your family, including a 24/7 telemedicine service.
Mental‑Health Support – Up to $5,000 per year for sessions with mental‑health practitioners, plus unlimited access through our Employee Assistance Program.
Financial Benefits – A defined‑contribution pension plan and a range of additional financial perks.
Paid Volunteering Days – Take time off to give back to the community.
Learning & Development – Access to high‑quality training, personal‑development programs, and clear pathways for internal career progression across our global organization.
Work‑place flexibility – Hybrid work is available for most roles. You’ll be required in the office at least three days per week, with one of those days being either a Monday or a Friday.
To find out more about our range of benefits, click hre
Diversity, Equity and Inclusion (DE&I) at the heart of our commitments
BNP Paribas is committed to fostering a work environment where all employees can feel heard, valued, safe and supported, and can be their authentic selves.
BNP Paribas recruits, employs, trains, compensates and promotes regardless of race, religion, colour, national origin, sex, disability, age, and other protected status (Employment Equity Act and Canadian Human Right Act).
To learn more about our DE&I commitments, click here
About Us
BNP Paribas, the leading bank in the European Union and a major global financial institution, operates in 63 countries and has nearly 178,000 employees. Its mission is to foster a responsible, sustainable economy by financing and advising clients to the highest ethical standards while addressing environmental, regional development, and social inclusion concerns. With over 1,700 employees in Montreal and Toronto, BNP Paribas in Canada strives to develop long-term relationships with its clients by supporting their business strategies and meeting their financing and investment needs, both locally and abroad.
Our certifications and partnerships
- Canada’s Top Employers for Young People 202
- Montreal’s Top Employers 2026
- Canada’s Best Diversity Employers 2026
- Women in Governance Platinum-Parity Certification
- LinkedIn Top Companies 2024
- BNP Paribas is committed to accessibility and inclusion. During the recruitment process, accommodation needs are available at all times for candidates. You will have the chance to make a request for an accommodation during your application.
- You must be legally eligible to work in the Greater Montreal area and, if applicable, hold a valid work or study permit. Physical presence in BNP Paribas’ office(s) is an essential function of this position;
- If you are applying and accepted to a position which requires working in/for the U.S. securities industry, you will be required to provide your fingerprints and undergo additional background checks by the FBI. BNP Paribas Securities Corporation is required to maintain a supervisory program over the conduct of its Associated Persons; some of your personal data will be transmitted to the United States of America and made available to US regulators. Please reach out to BNPP for additional information; or you can also find an overview here: 3110. Supervision FINRA.org
Click here: BNP Paribas in Canada Our job offers
Protect yourself from fraudulent job postings. Emails about jobs at BNP Paribas will always come from addresses ending @bnpparibas.com @us.bnpparibas.com, @ca.bnpparibas.com, or @br.bnpparibas.com. You should be suspicious of emails regarding employment with BNP Paribas coming from any other domains and should not respond. BNP Paribas will never send payments to or request payments from candidates for positions posted by BNP Paribas.
More about this job
Responsibilities
Develop quantitative risk models for credit risk, climate risk, stress testing, regulatory compliance, and AI-driven applications. Collaborate with analytics teams to implement, test, monitor, document, and improve models and analytical infrastructure.
Requirements
An advanced degree in a quantitative field and at least four years of experience building or validating models, preferably for banking activities, are sought. Candidates should have strong quantitative and statistical skills, experience with data science techniques, and preferably Python or R knowledge, along with communication, ownership, and problem-solving abilities.
Skills
- Quantitative Modeling
- Credit Risk Modeling
- Model Validation
- Stress Testing
- Python
- R
- Data Exploration
- Data Mining
- Data Transformation
- Statistical Modeling
- Data Science
- Time Series Analysis
- Regression Analysis
- Segmentation
- Machine Learning
- Model Governance
Benefits
- Flexible Health and Wellness Benefits
- 24/7 Telemedicine
- Mental Health Support
- Employee Assistance Program
- Financial Benefits
- Paid Volunteering Days
- Training and Professional Development
- Internal Career Progression
- Hybrid Work
Visa sponsorship
Not detected in the job text
Categories
- Finance & Accounting
- Data & Analytics
- Technology
- Environmental & Sustainability
Keywords
- Risk Management
- Credit Risk
- Counterparty Risk
- Market Risk
- Climate Risk
- Banking
- Quantitative Modeling
- Model Development
- Model Validation
- Stress Testing
- Regulatory Compliance
- Artificial Intelligence
- Machine Learning
- Python
- R
- Data Exploration
- Data Mining
- Data Transformation
- Statistical Modeling
- Data Science
- Time Series Analysis
- Regression Models
- Segmentation
- Model Governance
- Back Testing
- Model Monitoring
- Model Change Control
- Version Control
- Analytical Infrastructure