Candidate profile details:

• Years of experience: 5-7
• Reason for request/why opened: additional
• Interaction with Stakeholders: 50%
• Team Size: 3+
• Project: individuals will focus on model development and data analysis for one of the AML models, customer risk rating and will be working on one project.
• Selling Point of the position: supportive and dynamic team, opportunity to be visible, interactions with stakeholders, real hands on exp on developing models for the bank
• How will performance be measured: deliverables, SLA, deadlines, quality and feedback

Best vs Average Candidate:

• Strong research, analytical, problem solving, and organizational skills
• Strong communication, writing, and presentation skills,
• Demonstrated time management, project management, and stakeholder management skills,
• Ability to work effectively in a fast-paced environment while demonstrating flexibility to adjust to changing work priorities,

Department Overview:

• The Financial Crime Risk Management (FCRM) program at client is accountable for establishing bank’s Anti-Money Laundering and Anti-Terrorist Financing (AML/ATF) programs to ensure compliance with applicable AML/ATF regulatory requirements in jurisdictions where client operates.
• The Enterprise Model Management (Customer Risk) is one of the core pillars of FCRM program. The mandate of this team focuses on developing, monitoring, enhancing, and managing FCRM’s customer risk rating models.

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,
• Support the Management in presenting model development results to the Executive team, Auditors, Model Validation, and other stakeholders,
• Collaborate with FCRM stakeholders to optimize and enhance customer risk rating models,
• Identify opportunities to streamline and improve any of the existing model development, optimization, and management processes,
• Support relevant activities (documentation, reporting, testing, tuning) to ensure compliance with bank’s Model Risk Management requirements.

Employee/Team:

• Identify and recommend opportunities to enhance productivity, effectiveness, and operational efficiency,
• Work effectively as a team, supporting other members of the team in achieving business objectives and improving risk management,
• Detailed oriented and highly organized to effectively manage multiple stakeholders, existing projects, new requests, resource constraints and competing priorities.
• Provides thought leadership and industry knowledge to improve models and processes,
• Support a positive work environment that promotes risk management, quality, innovation, and teamwork,
• Ensure timely completion of assigned tasks and timely communication of issues and key information,
• Work collaboratively with teams to foster a culture of knowledge sharing, supporting other members of the team in achieving business objectives and support collective problem solving.

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)

Education:

• Bachelor’s degree in computer science, Statistics, Engineering, or relevant fields