Data Scientist II - Remediation

Job Description

Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Analytics, Insights, & Artificial Intelligence Pay Details: $81,600 - $115,200 CAD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Job Description: Department Overview Within Canadian Personal Banking Analytics, Insights, and AI (CPB AI2), the Real Estate Secured Lending (RESL) Remediation & Regulatory team supports day-to-day operations of RESL Issue Management and Customer Remediation through data-driven insights. We help quantify issue materiality, identify impacted customer segments, and ensure efficient, effective remediation. We are also responsible for delivering timely updates to regulators, helping safeguard TD’s brand and uphold our strong reputation. Job Description We are seeking a Data Analyst / Data Scientist to partner closely with business teams to investigate, analyze, and solve issues affecting our RESL customers, while responding to regulatory data requests with precision and integrity. If you're detail-oriented, passionate about problem-solving, and thrive on uncovering meaningful insights from data, this role is for you. Key Responsibilities Build a deep understanding of the RESL business context, data infrastructure, and analytical needs. Translate complex business problems into viable and scalable data solutions. Use programming languages such as Python, PySpark, and SQL to extract, transform, and analyze large datasets. Leverage business acumen to uncover insights that drive action. Proactively engage with data owners to identify and acquire the necessary data sources required to support business analysis, regulatory responses, and remediation efforts. Partner with business stakeholders to define issues, investigate root causes, and quantify customer and operational impacts. Translate business needs into analytical requirements and deliver actionable, data-driven solutions. Support business validation efforts by providing accurate data for testing and verification of implemented solutions, ensuring remediation effectiveness and integrity. Gather and prepare impacted customer data for communication and remediation. Assist in calculating financial harm, preparing customer notification packages, and developing remediation strategies with business partners. Design and automate recurring regulatory and bu

Required Skills