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Data Scientist- Risk Model Validation and Monitoring - Jobs in Montréal, QC

Job LocationMontréal, QC
EducationNot Mentioned
SalaryNot Disclosed
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeFull Time

Job Description

Desjardins Group is the largest cooperative financial group in Canada, and one of the largest employers in the country. It offers a full range of financial products and services and is home to a wealth of expertise in property and casualty insurance, life and health insurance, wealth management, services for businesses of all sizes, securities brokerage, asset management, venture capital, and secure, leading-edge virtual access methods.Job LevelNV-11As a data scientist - Risk Model Validation and Monitoring, you provide the data needed to make business decisions, develop solutions and services adapted to business issues and understand member and client behaviour.You lead and influence stakeholders in projects and initiatives to proactively meet cross-sector business needs, through the development of highly innovative models and complex strategic interventions in advanced analytics and artificial intelligence.Your initiatives require extensive, in-depth knowledge of your field.You make recommendations on the planning and execution of operationally and conceptually complex projects and initiatives using your analytical skills and your in-depth, comprehensive understanding of the line of business and the organization.You serve as an expert advisor and subject matter expert, resource person and coach for senior management and decision-making bodies. You interact with many stakeholders working in a wide range of fields and advise decision-making committees on strategic directions and business positions.General Information on the PositionMore specifically, you make sure the models meet all the quality criteria of the applicable validation framework. You validate economic capital and stress testing models. Knowledge of RiskFrontier, RiskMetrics and QRM is an important asset.Main Responsibilities

  • Oversee data mining, evaluation, feature engineering, quality inspection and adjustment of available data, and the selection of predictors for multidisciplinary and strategic predictive modeling mandates
  • Analyze client and partner needs, and lead mandates involving complex business issues that may lead to business positions and recommendations related to strategic directions in terms of operationalizing advanced analytics solutions
  • Apply very advanced and innovative statistical, machine learning and artificial intelligence methods to use data, and develop and optimize models and segmentations that meet business needs
  • Create the programming needed to prepare and mine data, and develop, evaluate, support, roll out and manage highly conceptually complex, innovative models
  • Represent the teams to members of senior management and partners and external organizations
  • Establish and draft technological guidelines, methods and choices. Advise and train teams on model development methods and make improvements to speed up delivery
  • Identify opportunities to improve rules and systems, anticipate underlying impacts of changes and oversee enhancement of data management tools.
Other working conditions
  • Work place: Position located in Montreal or Levis, depending on the applicant selected. The work arrangement for the position is hybrid work #LI-Hybrid
  • Number of jobs available : 1
Qualifications
  • Bachelor’s degree in a related field
  • A minimum of eight years of relevant experience, including at least four years in the analytical field
  • Masters degree or graduate degree in an appropriate discipline (an asset)
Please note that other combinations of qualifications (MSc or PhD) and relevant experience may be considered
  • For vacant positions available in Quebec, please note that knowledge of French is required
Specific knowledge
  • Mastery of specialized tools such as RiskManager, QRM, Murex
  • Very good knowledge of mathematical modeling and statistics
  • Very good programming skills: C++, SQL, Python, Matlab, VB, SAS
  • Good knowledge of the banking industry (an asset)
  • Knowledge of Basel regulations (an asset)
  • Independent speaker, intermediate knowledge of English, both oral and written
Desjardins Cross-sector skillsAction oriented, Customer Focus, Differences, Nimble learningKey competencies for the jobCommunicates effectively, Complexity, Innovation, Interpersonal Savvy, Strategic mindsetWork LocationComplexe Desjardins MontréalTrade UnionUnposting Date2022-05-12Job FamilyData (FG)Quick Apply
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