13 Sep
|
Robertson u0026 Company
|
Toronto
13 Sep
Robertson u0026 Company
Toronto
Our client is a top financial institution with significant North American holdings. They have operations across most major verticals, including institutional & corporate, wealth management, private clients, commercial banking, treasury, and retail banking.
Introduction
Robertson is seeking a skilled Business Information Management Analyst II (Data Scientist II) to join our client in support of an existing vacancy.
Contract Period: 6 months with potential to extend or convert
Pay Rate: Starting form $48 per hour
Location
Toronto, ON/
Markham, ON
Location Type: Hybrid
Business Hours: Monday-Friday, Core business hours
Job Responsibilities:
- Execute ongoing monitoring activities across a portfolio of production models
- Use Python, SQL, Databricks, and PySpark to extract, transform, analyse, and monitor large datasets
- Evaluate model performance, stability, usage, data quality, operational outcomes, and key monitoring metrics
- Investigate model performance issues, monitoring threshold breaches, data anomalies, and emerging risks
- Perform trend analysis and quantitative assessments to support model governance decisions
- Develop monitoring reports, dashboards, and executive-ready presentations for stakeholders
- Act as the primary First Line representative for assigned models during model lifecycle activities
- Support model onboarding, annual model reviews, ongoing validation, model changes, and remediation initiatives
- Prepare and maintain governance documentation including Model Development Reports (MDRs), Monitoring Plans, validation responses, and supporting evidence
- Coordinate responses to Model Validation, Compliance, Audit, and Regulatory inquiries
- Ensure model documentation remains accurate, complete, and audit-ready
- Serve as a liaison between Business Owners,
Model Vendors, Model Validation, Compliance, Risk, and Technology partners
- Facilitate governance discussions and drive alignment across multiple stakeholder groups
- Review and challenge vendor-provided model documentation, monitoring evidence, and performance reporting
- Coordinate cross-functional activities required to support model implementation, validation, monitoring, and governance objectives
- Track action items and facilitate timely resolution of governance and validation findings
- Identify opportunities to improve model monitoring capabilities, governance controls, and reporting processes
- Support regulatory remediation programs and governance transformation initiatives
- Contribute to automation and process efficiencies using Python, SQL, Databricks, and analytical tools
- Support emerging AI and advanced analytics governance activities as required
Experience & Qualification Requirements:
- Bachelor’s or master’s degree in data science, Statistics, Mathematics, Computer Science, Engineering, Economics, Risk Management, or a related quantitative discipline required
- 2+ years of experience in analytics, data science, model governance, model risk management, fraud analytics, financial crime analytics, or related fields
- Strong programming skills in Python and SQL
- Hands-on experience working with Databricks, PySpark, and large-scale data environments
- Understanding of machine learning and AI model methodologies, including supervised and unsupervised learning techniques, classification and regression models, ensemble methods, anomaly detection, and emerging AI solutions
- Experience working with Model Validation, Compliance, Audit, Model Risk Management, or Regulatory partners
- Experience working with third-party model vendors and reviewing vendor models
- Banking or financial institution experience
How to Apply: If you are a motivated professional looking to contribute to a leading team, please submit your resume outlining your qualifications and experience relevant to this role. Robertson & the clients we represent, value diversity and are committed to creating an inclusive workplace. We invite all qualified individuals to apply.
Background screening is required as part of the onboarding process. The type of screening required (criminal, credit, or other verifications) will vary based on the position and client requirements.
We use AI technology as part of our application review process to assist with screening and assessment. All applications are also reviewed by our recruitment team.
Robertson & the clients we represent are equal prospect employers, committed to diversity and inclusion. Robertson is a certified diverse supplier and actively seeks to foster a representative and inclusive workforce. We welcome applications from all qualified individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, Aboriginal status, or any other legally protected factors.
We champion building a diverse and inclusive environment.
📌 Business Information Management Analyst II (Data Scientist II) (Toronto)
🏢 Robertson u0026 Company
📍 Toronto