Senior Manager, Collections Strategies and Analytics, Retail Credit Risk
4 weeks ago
Role Overview
The Senior Manager of Collections Strategies and Analytics will be a pivotal leader with exceptional collaboration and communication skills, capable of managing multiple priorities in a fast-paced, entrepreneurial environment.
This role will focus on improving processes and driving business value through data-driven insights and technological advancements.
Key Responsibilities
- Direct the development and implementation of data-driven strategies for collections, integrating cutting-edge technological improvements.
- Utilize data-driven insights to provide actionable recommendations to stakeholders, aimed at minimizing loan losses, optimizing collections, and enhancing operational efficiency.
- Identify, quantify, and report all credit risks associated with collections, ensuring comprehensive risk management across all components (People, Data, Process, Technology, and Strategy).
- Oversee the acquisition, processing, and analysis of both structured and unstructured data to support robust reporting and analytics.
- Design, build, and maintain scalable data pipelines and ETL processes to support data analytics and reporting needs.
- Develop and implement automated solutions for repetitive tasks and processes to improve efficiency and accuracy.
- Create and automate detailed performance reports and dashboards to provide real-time insights to stakeholders.
- Lead projects focused on leveraging data analytics to improve collection efforts and recovery rates.
- Recommend and implement process enhancements using a test/control framework to drive data-informed decisions that boost profitability.
- Develop and implement policies to support customers in need of loan modifications, based on rigorous data analysis.
Requirements
- 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.
- 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?
- An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success
- We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one
- Your career matters You will have access to career development and progression opportunities.
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