MUST HAVE:

• 5+ years of experience in data science, data analytics, and model development,

• Extensive experience in data mining and predictive model development (e.g. Python, R)

• Extensive experience in database querying languages and report development (e.g., SQL),

• Strong storytelling, slide development, and report writing skills

NICE TO HAVE

• Familiarity with AML/ATF regulations is an asset.

• Experience in developing data visualization dashboards (e.g., Tableau, Power BI)

Job Description

We are looking for a Data Science Manager to join Enterprise Model Management (Customer Risk) team and support model development and model management activities. The successful candidate will report to Enterprise Model Management (Customer Risk) Senior Manager. Here is a summary of the responsibilities for this role:

• Develop a deep understanding of business context, objectives, data infrastructure, and help translate business objectives/problems to data-driven action plans and solutions,

• Work closely with Business, FCRM, and Technology stakeholders to understand the rationale and purpose behind each objective, support action plan development, stakeholder alignment, and delivery,

• Use a wide range of programing languages (e.g. Python, SQL, R) and techniques to extract and transform data, apply statistics and analytics, and generate insights,

• Use business intelligence tools such as Tableau or Power BI to visualize data, generate insights, and inform FCRM action plan and decision making,

• Develop predictive models. Assess the performance and effectiveness of different predictive modeling techniques in predicting target variables,

• Document data processing, data analysis, model selection, model performance, impact analysis approach and results,