One of our major banking clients is looking for a Business Analyst (Regulatory knowledge, AI/ML, Python, SAS, R, SQL)
Length: 9 Months Contract with the possibility of extension
Location: Toronto, ON - Hybrid (2 days a week in office)
Hours of Operation: 9am to 5:30 pm
'The start date of this job is flexible and in order to find the best candidate the job may remain open much longer than the date mentioned on this posting... or you may be asked to start sooner than the expected start date if you are able to do so !'
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The recruiter in charge of this role is Manvir
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Requirements:
JOB DESCRIPTION: The Senior Model Risk Specialist is to assist the Senior Manager and Director of the team to complete a large-scale model validation project, so that the bank is not subject to unjustified (in a risk vs. return framework), undue, and unidentified model risks due to the use of models and promoting the transparency and understanding of models and model risks used across the Bank in the artificial intelligence and machine learning (AI/ML) modeling areas.
Effectively identify risks associated with AI/ML models; timely, accurately and independently assess models used in the areas of responsibility; and tactfully provide the recommendations to model owners and users to mitigate the risks
Ensure that the models (development, documentation, usage, etc.) are compliant with the Bank's Enterprise Model Risk Framework, and are compliant with OSFI/FRB/OCC's requirements
Provide advisory support to large-scale projects as required and other work streams as appropriate and requested to ensure that bank's models are in line with industry best practice
Support the Director in the development and execution of overall work plan
Qualifications:
MUST HAVE REQUIREMENTS:
Hands-on and advanced knowledge in AI/ML models used for financial crime prevention (AML, fraud, and cyber security, etc.) monitoring.
Statistical modelling
NICE TO HAVES:
Previous banking experience
Good knowledge and relevant training in AI/ML modeling techniques for behavioral and pattern analysis; with minimal 3 years experience pertaining to Fraud, AML transaction monitoring, large language modeling, and/or statistical modeling.
Good knowledge of regulatory requirements on Fraud, AML and AI/ML models; experience in regulatory matters as an asset.
Effective time management in order to efficiently deliver concurrent projects with competing priorities
Good ability of conflict-solving; and ability to collaboratively work with model owner/sponsor counterparts
Effective presentation and communication skills; ability to convey complex concepts and outcomes to non-subject matter experts.
Proficiency in computing development skills, particularly statistical and database modeling tools (Python, SAS, R, SQL, Matlab, Access/VBA etc.). Ability to adapt to various programming languages and environments.
Skills:
Detail-oriented, analytical, well organized, highly self-motivated and good interpersonal skills
EDUCATION:
Master degree in Mathematics, Statistics, Computer Science, Physics and/or Engineering, etc.
PhD in quantitative field or combination of quantitative and business degrees preferred
Please note that this is the most up to date version of job description available at this time - During Client Interview you will receive additional information - variance may apply !
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