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Added 10 days ago
Cloud Infrastructure Data Engineering Specialist - Terraform
Capgemini
Toronto, ON
Capgemini is seeking a Cloud Infrastructure Data Engineering Specialist to join the Aperture Data Insights team within the Quantitative Technology Services (QTS) Data Cloud & Compute…
Added 10 days ago
HG
Business Systems Analyst (AI and Automation)
Hypertec Group
QC · St-Laurent, QC
- Full-time
Lead process discovery with business units, mapping current workflows, handoffs, pain points, and data sources, and use AI tools to produce current state documentation, workflows, work…
Added 10 days ago
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Software Developer, DevOps
Benevity
Remote, Canada
- Full-time
- Remote
Benevity is looking for a Senior DevOps Developer to own and operate the cloud infrastructure and developer platforms that our product teams build on every day. In this hands-on engineering…
Added 10 days ago
HA
Senior Software Engineer
H2 Analytics
Remote, Canada
- $120,000 to $170,000 CAD / year
- Full-time
- Remote
H2 Analytics is redefining how professionals train for high-stakes environments through advanced simulation and data-driven tools. We build EASE (Exercise Architect Suite), a tool used by…
Added 10 days ago
GC
Data Engineer
GEI Consultants, Inc.
Vaughan, ON
- $90,000 to $150,000 CAD / year
- Full-time
4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
Added 10 days ago
GC
Data Engineer
GEI Consultants, Inc.
Guelph, ON
- $90,000 to $150,000 CAD / year
- Full-time
4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
Added 10 days ago
GC
Data Engineer
GEI Consultants, Inc.
Kitchener, ON
- $90,000 to $150,000 CAD / year
- Full-time
4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
Added 10 days ago
H
eTrading Full Stack Engineering - Network
HSBC
Toronto, ON · Greater Toronto Area, Canada
- $91,600 to $137,300 CAD / year
- Full-time
You’ll join the eTrading infrastructure engineering team responsible for resilient deterministic and low-latency network services supporting electronic trading platforms. This hands-on role…
Added 10 days ago
TC
Data AI Engineer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
We are seeking an experienced AI/ML Developer to design, develop, and deploy machine learning and generative AI solutions. The ideal candidate should possess strong expertise in Python,…
Added 10 days ago
H
eTrading Engineering Lead
HSBC
Toronto, ON · Greater Toronto Area, Canada
- $111,300 to $166,900 CAD / year
- Full-time
…Regional Head of electronic Trading (eTrading) Infrastructure Engineering in Toronto, Canada. This role owns the regional infrastructure engineering capability supporting latency-sensitive…
Added 10 days ago
P
Cost Controller
PTAG
Calgary, AB
- Contract
Apply AI and automation tools to controls work such as variance commentary, forecast and trend review, change-impact assessment, and data validation; verify outputs against source data.
Added 10 days ago
SS
Service Operations Specialist | Spécialiste en opérations de services
SITA Switzerland Sarl
Montreal, QC
- Full-time
Manage technical escalations with appropriate diagnostic information and collaborate with SRE, Engineering, and Field Operations.
Added 10 days ago
H
eTrading Full Stack Engineering - Compute
HSBC
Toronto, ON · Greater Toronto Area, Canada
- $91,600 to $137,300 CAD / year
- Full-time
Join our eTrading infrastructure engineering team in Markets & Securities Services Information Technology, building deterministic, secure and highly available compute platforms supporting…
Added 10 days ago
AG
Data Scientist (Master's) - Montreal (2027 Start Date) | Scientifique des données (diplôme de maîtrise) - Montréal (Date de début 2027)
Analysis Group
Montreal, QC
- Full-time
Developing end-to-end data engineering and machine learning production systems for full stack data science projects.
Added 10 days ago
AI
AI Platform Engineer
Apptoza Inc.
Halifax, NS
- Full-time
Champion developer experience and DevOps best practices.
Added 10 days ago
AG
Senior Data Scientist (PhD) - Montreal (2027 Start Date) | Scientifique des données senior (diplôme de doctorat) - Montréal - (Date de début 2027)
Analysis Group
Montreal, QC
- Full-time
Designing, developing, validating, and deploying data engineering, artificial intelligence, and machine learning production systems for full stack data science projects.
Added 10 days ago
BP
Risk Quant Model Developer
BNP Paribas
Montreal, QC
- Full-time
Doctorate, master’s or other advanced degrees in Quantitative fields (Finance, Economics, Actuarial science, financial engineering, etc.)
Added 10 days ago
C
Senior Python Developer
CGI
Toronto, ON
- Full-time
We are seeking a Senior Python Developer with 8+ years of experience in Python scripting, data engineering, and SQL. The successful candidate will collaborate with business users, support…
Added 10 days ago
A
Manager, Data Operations
AstraZeneca
Mississauga, ON · Canada - Mississauga
- Full-time
…specialty infusion, patient services, trade and distribution data that powers our US Commercial strategy and execution. You will transform partner data into reliable, governed assets for…
Added 10 days ago
EF
Senior Software Engineer, Finance System
Element Fleet Management
Toronto, ON
- Full-time
Build reliable financial systems through modern software engineering and enterprise integration.
Added 10 days ago
Forestry Data Engineer
Government of Alberta
AB
Are you passionate about transforming complex data into reliable, accessible information that supports better decisions? This is an opportunity to apply your data engineering expertise to…
Added 10 days ago
Summer 2027 Internship - Data Analytics & Modelling
CMHC - SCHL
Ottawa, ON · Toronto, ON · Montreal, QC
Support data migration, data engineering, data quality and information management activities.
Added 10 days ago
AC
Revenue Management Analysis, Science and Innovation Analyst
Air Canada
Dorval, QC
- Full-time
Master’s degree in mathematics, Statistics, Economics, Operations Research, Engineering or equivalent
Added 10 days ago
A
SDET (Intermediate)
Actalent
Waterloo, ON
- $40 to $50 CAD / hour
- Contract
…developing, and maintaining automated test scripts and tools in Python to validate new features for advanced automotive infotainment and connectivity…
Added 10 days ago
A
Test Engineer
Actalent
Ottawa, ON · Nepean, ON
- $50 to $60 CAD / hour
- Contract
Partner closely with R&D and Manufacturing Engineering to create robust, contract-manufacturing-ready test systems, including jigs and fixtures suitable for high-volume production.

BNP Paribas

Risk Quant Model Developer

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 22, 2026
Experience: 4+ years prior experience in building or validating models – ideally those relevant to banking activities
Posting language: English
Posted: Oct 23, 2026

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:

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.

Specific RISK Model team objectives:

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.

In detail

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.

The Strengths And Skills That Will Help You Succeed

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.

Preferred Qualifications:

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.

While the description above describes our ideal candidate, we encourage applicants to apply even if they do not fully meet the complete list of qualifications noted

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

What You Need To Know

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

Do you want to discover other BNP Paribas offers in Canada?

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.

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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

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

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