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Added 1 month ago
Senior Software Developer, Manufacturing Data Solutions (Python/SQL)
Sonova AG
Kitchener, ON
As a Senior Software Developer, you will apply your expertise to deliver reliable and scalable data-oriented solutions in a collaborative global environment.
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…centralized Kubernetes, managed CI/CD, project templates, and the developer tooling that runs on top of AWS. Our customers are developers. We live "you build it, you run it" and we invest…
Added 3 months ago
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- $160,000 CAD / year
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Added 3 months ago
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Architecte en IA agentique - Intelligence Engineering / Agentic AI - Sr. Architect - Intelligence Engineering
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- Full-time
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Added 2 months ago
M
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Agentic AI Architect - Intelligence Engineering (Toronto)
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Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
Build in Python and, where useful, other languages to deliver machine learning systems, APIs, evaluation harnesses, retrieval pipelines, agent workflows, and production services
Added 1 month 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 1 month ago
P
Senior Applied Researcher AI/ML ( CAD)
PointClickCare
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- 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 2 months ago
PF
Lead Data Engineer
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Toronto, ON
- $130,000 to $150,000 CAD / year
Leverage GenAI-assisted development tools to accelerate pipeline construction, code optimization, and documentation.
Added 2 months ago
Q
Sr. Engineer, Machine Learning Software Verification
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- Full-time
1+ years of Python and other scripting programming
Added 2 months ago
A
Sr Associate Software Engineer - Applied AI
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Burnaby, BC
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Strong programming skills in Python and familiarity with GenAI libraries (Transformers, LangChain, Hugging Face, etc.).
Added 2 months ago
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Financial Instruments Valuation and Market Risk Manager
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Toronto, ON
- Full-time
Assisting in the development of leading edge GenAI solutions that transform the delivery of these services, and provide GenAI advice to our clients
Added 22 days ago
PC
Senior AI Engineer - Toronto, ON
Pozent Corporation
Toronto, ON
- Contract
We are seeking an experienced AI Engineer to design and deliver scalable GenAI solutions. This subcontractor role focuses on building production�?ready AI products using Python, React, and…
Added 1 month ago
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CCaaS Engineer
Accenture
Toronto, ON · Vancouver, BC · Calgary, AB
- Full-time
Develop AWS Lambda functions and backend integrations in Python, Node.js, or Java.
Added 2 months ago
O
Lead, AI/Machine Learning Engineer
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Practical experience with one or more LLM/GenAI frameworks, such as LangChain, LlamaIndex, or Semantic Kernel.
Added 4 months ago
X
Full Stack AI Engineer / Applied AI Engineer
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Montreal, Quebec
- Full-time
Design and develop full-stack applications that power GenAI applications and platforms
Added 3 months ago
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Senior Platform Engineer, AI
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Toronto, Ontario
- Full-time
…next-generation AI systems across clients. This includes developing GenAI platforms, enabling agent-based architectures, and designing scalable orchestration and integration layers for…
Added 3 months ago
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Engineering Manager
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Remote, Canada
- $140,000 to $155,000 CAD / year
- Full-time
- Remote
…data. Fluency in or ability to quickly ramp up in our stack: Python, JavaScript/TypeScript, Django, PostgreSQL, Redis,…
Added 22 days ago
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Gen AI Developer
K&K Global Talent Solutions INC.
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- 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 3 months ago
BP
AI Model Validator
BNP Paribas
Montreal, Quebec
- Full-time
Programming experience in statistical or mathematical languages such as Python or R, and hands‑on experience with version‑control systems like GitHub.
Added 4 months ago
D
Senior Data Scientist
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Toronto, Ontario
- Full-time
Explore AI and GenAI applications to enhance analytical capabilities and client solutions
Added 23 days ago
IS
Senior Machine Learning / AI Engineer
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Vancouver, BC
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Strong experience with Python and common machine learning frameworks.
Added 2 months ago
TD
Technical Lead - Five9
TELUS Digital
Remote, Canada
- $132,000 to $165,000 CAD / year
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Five9 certification(s) (e.g., Five9 Administrator, Implementation, or Application Developer), or progress toward certification.
Added 4 months ago
C
Consultant, Data and AI Analytics
CIBC
Toronto, Ontario
- Full-time
…least 2 years of Azure Databricks and at least 1-2 years with GenAI like Microsoft Co-Pilot Studio; coupled with at least 4 years of SQL and Python experience. It’s an asset if you have C#…
Added 23 days ago
MC
Senior Machine Learning Engineer Specialist – AI Centre of Excellence (35668)
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The successful candidate will bring expert-level Python and SQL skills, combined with deep hands-on experience with Azure Machine Learning, Databricks, MLflow, CI/CD, MLOps, model…

BNP Paribas

AI Model Validator

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Jun 8, 2026

Original job description

In a changing world, unprecedented challenges require unmatched talent. Join one of Montreal’s Top Employers in 2025. We are a dynamic and growing organization having its main establishment located in downtown Montreal and part of a leading international banking institution fully committed to building a more sustainable future. Note that the position may be in the Canadian Branch of BNP Paribas or in one of its subsidiaries based in Montreal.

The position at a glance

RISK Independent Review & Control (RISK IRC) is a special unit within the RISK organization and reports directly to the Group CRO. The independent review arm of the department provides second line of defense for the use of various types of models and, accordingly, is in charge of model risk management. RISK IRC is composed of several Model Validation groups and a Model Governance team. The Model Validation groups are responsible for performing an independent effective challenge of the modelling choices in accordance with internal policies, procedures, and standards. Further, RISK IRC is an international team with presence in 9 countries.

In detail

Conduct independent quantitative reviews of the AI models used within BNP Paribas – CUSO IHC in accordance with internal standards and regulatory guidance.
Leverage existing expertise to validate AI models used by different groups, such as the Global Markets trading desk and the sales team.
Identify and evaluate model risks (including performance, bias, and misuse) and recommend appropriate mitigation measures.
Work with validation managers to develop an appropriate validation plan to provide effective challenge commensurate with the level of model risk.
Work closely with BNPP Global Market data scientists to help BNPP be compliant with model validation requirements.
Produce documentation of effective challenge process and materials to support committees in review and decisions.
Assess ongoing model performance.
Defend conclusions to management.

Minimum Required Qualifications:

Advanced degree (Master or PhD) in Finance, Economics, Statistics, Computer Science, or any other related quantitative field.
3+ years of experience validating or developing AI models related to quantitative research in finance, such as derivative pricing, asset price modeling, algorithmic trading, etc[FRP1] [FRP2] .
Solid quantitative, statistical and AI knowledge: predictive modeling, supervised/unsupervised learning, time series analysis, Natural Language Processing (NLP), and data science techniques.
Experience in integrating Generative AI into practical use cases, including LLM‑based chatbots, sentiment analyzers, and Retrieval Augmented Generation (RAG) pipelines.
Programming experience in statistical or mathematical languages such as Python or R, and hands‑on experience with version‑control systems like GitHub.
Experience with ML and NLP frameworks such as Tensorflow, PyTorch, NLTK and Gensim.
Experience producing high quality written technical documentation.
Strong communication and synthesis skills in addition to critical thinking capabilities and passion for learning.
Knowledge of the English language.*
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 French and English languages are required.

Preferred Qualifications:

In addition to the minimum requirements, it is desirable for the candidate to be able to demonstrate:

Knowledge of the regulatory requirements (e.g. SR26-2).
Familiarity with trading desks’ products and strategies.
Experience in developing and working on real-world machine learning projects.
Familiarity with Frontier GenAI models (GPT, Llama, Mistral) and orchestration frameworks (LangChain and LangGraph).
Knowledge of technical, ethical, and regulatory aspects of AI.

What’s In It For You

In addition to competitive compensation, we offer flexible benefits including a family and spouse insurance program, a defined contribution pension plan and paid days for volunteering. Hybrid work arrangements are available for most positions. In-office presence is required a minimum of 3 days per week, one of which must be on a Monday and/or a Friday. BNP Paribas provides excellent training and personal development programs, as well as opportunities for career development within the company and internationally.

To find out more about our range of benefits, click here

What You Need To Know

We will review candidates as they apply, so don’t wait to submit your application;
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

Diversity, Equity and Inclusion (DE&I) at the heart of our commitments

At BNP Paribas all employees are on an equal footing allowing us to create a work environment that values and respects people for their talents, skills and competences.

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 is the top bank in the European Union and a major international banking establishment. Present in 63 countries, with more than 180,000 employees, the bank holds key positions in several areas of banking and financial services.

BNP Paribas’ mission is to contribute to a responsible and sustainable economy by financing and advising its clients according to the highest ethical standards, while striving to respond to essential concerns in terms of the environment, regional development and social inclusion.

Since 1961, BNP Paribas has supported large Canadian companies and institutions in their business development by offering a full range of specialized financial services and investment products.

With over 1,400 employees, BNP Paribas in Canada continues to attract experts from diverse fields as well as ambitious young talent from around the world. We are proud to offer our employees a rewarding and international workplace where they can build their professional careers by honing their skills, meeting challenges and enriching their knowledge of the financial industry.

Our certifications and partnerships

Montreal’s Top Employers 2025
Canada’s Best Diversity Employers 2025
Women in Governance – Parity certified – Platinum certification
Pride at Work Canada
Part of Les Affaires top 300 companies in Quebec
Synclusiv
Ready, Willing and Able
Autisme sans Limites
LinkedIn Top Companies 2024

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

Click here: BNP Paribas in Canada Our job offers

*** 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***

[FRP1]Other interesting and relevant experience could potentially include advanced analytics, AI, or risk management.

[FRP2]We can also mention something like this:

Please note that other combination of qualification and relevant skills may be considered.

Apply About employer

More about this job

Responsibilities

Conduct independent quantitative reviews of AI models used within BNP Paribas. Identify and evaluate model risks and recommend appropriate mitigation measures.

Requirements

Candidates must have an advanced degree in a quantitative field and at least 3 years of experience validating or developing AI models. Strong knowledge of AI, programming languages, and experience with ML frameworks is also required.

Skills

AI Model Validation
Quantitative Analysis
Statistical Knowledge
Predictive Modeling
Supervised Learning
Unsupervised Learning
Time Series Analysis
Natural Language Processing
Data Science Techniques
Python
R
Machine Learning
Tensorflow
PyTorch
GitHub
Technical Documentation

Benefits

Flexible Benefits
Family and Spouse Insurance Program
Paid Days for Volunteering

Visa sponsorship

Not detected in the job text

Keywords

AI
Model Validation
Quantitative Research
Finance
Derivative Pricing
Algorithmic Trading
Generative AI
LLM
Chatbots
Sentiment Analyzers
Retrieval Augmented Generation
NLP
Tensorflow
PyTorch
GitHub
Documentation
Model Risk Management
Performance Evaluation
Bias Mitigation
Regulatory Guidance
Statistical Analysis
Data Science
Machine Learning
Natural Language Processing
Python
R
Time Series Analysis
Supervised Learning
Unsupervised Learning
Critical Thinking

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