Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Collections Analytics Manager in United States.

This role offers an exciting opportunity to lead and shape the analytics function for collections and recovery operations within a fast-growing financial services environment. As the Collections Analytics Manager, you will oversee a team of analysts to provide actionable insights that optimize end-to-end collection strategies for both personal loan and credit card products. You will leverage advanced analytics, forecasting models, and machine learning techniques to improve operational efficiency, risk management, and customer experience. This position combines technical expertise with strategic thinking, requiring collaboration with cross-functional teams, mentoring of analysts, and the ability to influence decision-making through data-driven insights. You will have the opportunity to innovate by testing new approaches, refining forecasting methodologies, and continuously improving collection strategies to drive measurable results. The role is highly visible and critical to maintaining strong financial performance while advancing the organization’s mission of promoting financial well-being.

Accountabilities:

• Lead a team of analysts to deliver insights and reporting that optimize collection and recovery strategies.
• Develop and maintain loss forecasting models, continuously improving methodologies for accuracy and efficiency.
• Conduct portfolio-level analysis, segment performance evaluation, and root-cause investigations to identify key drivers.
• Collaborate with Credit Risk, Marketing, Product, Engineering, and other teams to implement and monitor strategies.
• Design A/B tests and evaluate risk-return trade-offs for collection strategies.
• Communicate findings and recommendations clearly to management and stakeholders.
• Innovate by testing new data, analytical methods, and predictive models to enhance strategy performance.
• Support ad-hoc analyses related to risk management, product initiatives, and operations.

Requirements:

• Bachelor’s degree in Business, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field; Master’s degree preferred.
• 4–6+ years of relevant experience in analytics, collections, or credit risk management.
• Strong analytical and problem-solving skills with proficiency in SQL; familiarity with R, Python, Tableau, Looker, or other analytics tools a plus.
• Experience using machine learning and statistical models to develop strategies.
• Knowledge of segmentation, statistical procedures, and financial analytic tools.
• Strong communication skills to present technical findings clearly to team members and senior management.
• Experience leading and mentoring a team, including performance management and development.
• Ability to work in a fast-paced environment, prioritize tasks, and meet deadlines without sacrificing quality.
• Strong organizational and project management skills, with a high degree of ownership and curiosity.

Benefits:

• Competitive salary and performance incentives.
• Flexible time off and remote work options.
• Comprehensive health, dental, and vision coverage.
• Paid parental leave and wellness benefits.
• Professional development and access to learning platforms (e.g., Udemy).
• Additional perks including childcare assistance, pet insurance discounts, legal assistance, and other employee discounts.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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