Job Description

Requisition ID: 230113



Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.



As the Senior Manager of Collections Strategies and Analytics, you will be a pivotal leader with exceptional collaboration and communication skills, capable of managing multiple priorities in a fast-paced, entrepreneurial environment. You will leverage cutting-edge data management and analytics techniques to drive the success of the Collections function by defining, implementing, and tracking best-in-class collections strategies. Your role will focus on improving processes and driving business value through data-driven insights and technological advancements. You will work at the intersection of data management, process improvement, communication, and domain knowledge in Retail Risk Management, ensuring consistent process execution and oversight. This position is ideal for a rigorous logical thinker who is curious, flexible, and an excellent team player.

Is this role right for you?

Lead Collections Analytics and Strategy: Direct the development and implementation of data-driven strategies for collections, integrating cutting-edge technological improvements. Generate Analytical Recommendations: Utilize data-driven insights to provide actionable recommendations to stakeholders, aimed at minimizing loan losses, optimizing collections, and enhancing operational efficiency. Credit Risk Management: Identify, quantify, and report all credit risks associated with collections, ensuring comprehensive risk management across all components (People, Data, Process, Technology, and Strategy). Demonstrate a strong understanding of portfolio performance metrics and originations metrics. Data Management: Oversee the acquisition, processing, and analysis of both structured and unstructured data to support robust reporting and analytics. Ensure data integrity and accuracy through effective data governance practices. Data Engineering: Design, build, and maintain scalable data pipelines and ETL processes to support data analytics and reporting needs. Implement data warehousing solutions to consolidate and manage large datasets efficiently. Automation of Repetitive Tasks: Develop and implement automated solutions for repetitive tasks and processes to improve efficiency and accuracy. Utilize scripting and automation tools to streamline data processing and reporting workflows. Report Generation: Create and automate detailed performance reports and dashboards to provide real-time insights to stakeholders. Develop early warning systems to monitor and guide collection efforts effectively. Analytical Projects: Lead projects focused on leveraging data analytics to improve collection efforts and recovery rates. Collaborate with data scientists and analysts to develop and deploy advanced analytical models Process Improvement: Recommend and implement process enhancements using a test/control framework to drive data-informed decisions that boost profitability. Continuously seek opportunities to optimize and automate processes. Policy Design: Develop and implement policies to support customers in need of loan modifications, based on rigorous data analysis. Performance Oversight: Monitor and guide collection efforts through detailed performance reports and early warning systems. Ensure that all reporting is accurate, timely, and actionable.

Do you have the skills that will enable you to succeed in this role?

Master's degree in Business, Economics, Finance, Industrial Engineering, Mathematics, Computer Science, or a related discipline. Strong background in quantitative analysis and data management. Expertise in database management and data analytics tools such as SQL, Power BI, and Tableau. Proficiency in data engineering, including designing, building, and maintaining scalable data pipelines and ETL processes. Experience with large and complex databases. Advanced skills in automation tools and scripting languages (e.g., Python, R) to automate repetitive tasks and reporting workflows. Familiarity with TRIAD or similar collections risk platforms is highly desired. Proficiency in data science, artificial intelligence, and cloud computing. Knowledge of cybersecurity principles and practices. 5 years of experience in retail risk portfolio management, collections, or provisions. Strong quantitative analysis skills applied to portfolio metrics. Proven experience in data analytics, process improvement, and automation. Demonstrated expertise in developing and implementing automated solutions to enhance efficiency and accuracy. Strong strategic relationship-building and negotiation skills to influence executives. Excellent communication and presentation skills to convey messages clearly and concisely. Results-driven with a high level of curiosity and attention to detail. Exceptional organizational skills to manage and prioritize multiple initiatives concurrently or in a staggered manner. Demonstrated ability to collaborate effectively with cross-functional teams, showing flexibility and a willingness to support team members as needed. Ability to understand and interpret retail risk metrics. Proven leadership experience in managing and mentoring teams. Ability to foster a collaborative and inclusive team environment. Strong decision-making skills with the ability to drive projects to successful completion. Experience in setting clear goals, providing feedback, and supporting professional development of team members. Excellent conflict resolution and problem-solving skills.

What's in it for you?

Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans. Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements. Upskilling through online courses, cross-functional development opportunities, and tuition assistance. Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one. Dynamic Office - Fully equipped gym, showers, games room, bowling alley, micro market, free tea & coffee, universal washrooms, wellness rooms, and lots of space for team collaboration. Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!


Location(s): Canada : Ontario : Toronto



Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.



At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.