BNP Paribas

AI Model Validator

BNP Paribas$90K — $120K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Advanced degree (Master or PhD) in Finance, Economics, Statistics, Computer Science, or a related field.
  • 3+ years of experience validating or developing AI models in quantitative finance.
  • Strong foundation in quantitative analysis and AI, including predictive modeling and data science techniques.
  • Proficiency in integrating Generative AI into practical applications like chatbots and sentiment analysis.
  • Programming skills in Python or R, and familiarity with version-control systems like GitHub.
  • Experience with ML and NLP frameworks including TensorFlow and PyTorch.
  • Excellent technical documentation skills and strong communication abilities.

Responsibilities

  • Conduct independent quantitative reviews of AI models in compliance with internal and regulatory standards.
  • Validate AI models used by Global Markets trading and sales teams.
  • Identify, assess, and recommend mitigation for model risks including performance and bias.
  • Collaborate with validation managers to create effective validation plans.
  • Work alongside data scientists to ensure compliance with model validation requirements.
  • Document the effective challenge process to support committee reviews.
  • Evaluate ongoing model performance and defend conclusions to management.

Benefits

  • Flexible benefits including family and spouse insurance programs.
  • Defined contribution pension plan and paid volunteering days.
  • Hybrid work arrangements with 3 days minimum in-office requirement.
  • Comprehensive training and personal development programs.
  • Career development opportunities within the company and internationally.
Full Job Description
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

*** 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.

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