Job#: 3050969
Job Description:
Sr Manager Advance Analytics
Industry: Financial Services
Location: Toronto.
Hybrid: 1 day a week
Duration of Contract/Perm: 1 Year contract with potential to extend
Hours/week: 37.5 per week
Rate Range: $53-58 T4
Start date: October 2026
What You'll Be Doing
As the Senior Manager, Advanced Analytics & Model Support, you will be part of a fast-paced, agile team and responsible for providing advanced analytical support and statistical insights to the reporting, analysis, and strategic initiatives for a collections function. As Senior Manager, you'll deliver impactful analytics, develop strategies, and drive enhanced business decisions on managing collections performance, customer interactions, and financial outcomes.
With your deep expertise in advanced analytics, you will play a key role in optimizing collections strategies and supporting operational excellence. You will be the primary analytics partner to collections leadership, translating complex collections data into clear, actionable reporting and insights for senior management.
You will be responsible for transforming raw data into actionable insights, ensuring that collections leaders and stakeholders have the understanding they need to optimize performance and reduce losses. You will design and deliver robust analytics and reporting frameworks tailored to the needs of the collections leadership team, enabling data-driven decisions at every stage of the collections lifecycle.
You will collaborate with model development teams to test, implement, and monitor model performance, and support ongoing model maintenance and enhancement activities. You will ensure models meet business requirements and identify opportunities to improve model accuracy and efficiency.
Additionally, you will work closely with other teams in IT, Business Intelligence, and Risk to ensure data integrity and compliance with governance standards.
This role offers a hybrid work arrangement, with time spent on-site and the remainder remote.
How You'll Succeed
- Analytical Mindset: Challenge the status quo through critical thinking and thoughtful analysis. Diagnose business operation environments, especially within collections, and prudently test hypotheses to identify actionable insights that drive operational improvements.
- Domain Knowledge: Well-versed in best practices and new discoveries in analytical fields, with a strong focus on collections operations, processes, and performance metrics. Apply your knowledge to develop and enhance reporting and analytics for collections leadership.
- Collections and/or Risk Management Data Expertise: Utilize your in-depth knowledge of collections processes (early-stage, mid-stage, late-stage, and dialer collections) to support analytics, reporting, and modelling to generate insights into collections performance, trends, and opportunities.
- Machine Learning & Advanced Modelling: Lead the application and development of machine learning, advanced modelling techniques, and data science solutions to solve complex business problems within collections. Mentor and coach the analytics team in building predictive models, utilizing AI, and deploying advanced statistical methodologies to optimize collections strategies and outcomes.
- Analytics Innovation: Foster a collaborative and innovative environment focused on continuous learning and technical excellence. Adopt new technologies and analytical approaches to remain at the forefront of industry best practices in machine learning and data science.
- Relationship Management: Foster working relationships with business partners, particularly within the collections function, to create a collaborative atmosphere. Cultivate new relationships aimed at creating solutions to common objectives and ensure alignment of analytics and reporting with business priorities.
Who You Are
- You have significant experience in advanced analytics, machine learning, and data science, particularly within collections operations and/or risk management. You have experience in developing and deploying predictive models, advanced statistical techniques, and AI-driven solutions.
- You are highly skilled in modelling, data mining, and statistical analysis using tools such as SAS, SQL, Python, and other machine learning frameworks.
- You excel at translating complex data and modelling outputs into clear, actionable insights for senior leadership, enabling data-driven decisions and strategic improvements.
- You have a proven track record in designing, implementing, and optimizing advanced analytics frameworks and reporting solutions.
- You are an advocate for innovation and continuous improvement, proactively seeking out new modelling techniques and analytical approaches to solve business challenges.
- You possess strong critical thinking and problem-solving skills, with a keen attention to detail and a passion for leveraging data science to drive operational excellence.
- You communicate technical concepts effectively to both technical and non-technical stakeholders, fostering understanding and support for analytics-driven initiatives.
- You are committed to trust, teamwork, and accountability, and bring your authentic self to work every day.
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.
Everforth Apex Benefits Overview: In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA.
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