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Added 10 mins ago
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BNP Paribas

AI Model Validator

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Jan 4, 2027
Experience: 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.
Posting language: English
Posted: Oct 16, 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

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.
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.*

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.
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.

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 2026
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

Independently validate AI models used in financial markets, assess risks such as performance, bias, and misuse, and recommend mitigation measures. Develop validation plans, document and present findings to committees and management, collaborate with data scientists, and monitor ongoing model performance.

Requirements

Requires a master's or doctoral degree in a quantitative field and at least three years of experience validating or developing AI models for quantitative finance. Candidates should have strong statistical, AI, programming, and documentation skills, with experience in generative AI use cases and ML/NLP frameworks; French and English proficiency is required for the role's client context.

Skills

AI Model Validation
Quantitative Analysis
Statistical Modeling
Predictive Modeling
Supervised and Unsupervised Learning
Time Series Analysis
Natural Language Processing
Generative AI
Large Language Models
Retrieval-Augmented Generation
Python
R
GitHub
TensorFlow
PyTorch
Technical Documentation

Benefits

Flexible Health and Wellness Benefits
24/7 Telemedicine
Mental Health Support
Employee Assistance Program
Additional Financial Benefits
Paid Volunteering Days
Training and Development Programs
Internal Career Progression
Hybrid Work

Visa sponsorship

Not detected in the job text

Keywords

AI Model Validation
Model Risk Management
Quantitative Finance
Derivative Pricing
Asset Price Modeling
Algorithmic Trading
Predictive Modeling
Supervised Learning
Unsupervised Learning
Time Series Analysis
Natural Language Processing
Generative AI
Large Language Models
Chatbots
Sentiment Analysis
Retrieval-Augmented Generation
Python
R
GitHub
TensorFlow
PyTorch
NLTK
Gensim
GPT
Llama
Mistral
LangChain
LangGraph
SR 26-2
Model Governance

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