Company
financial services
Director,CollectionsDecisionScience&Strategy
Neural analysis suggests this role is
optimal for Director candidates.
“Director, Collections Decision Science & Strategy. Skills: decision science, collections strategy, predictive modeling, machine learning, SQL, Python, R. design, deployment, optimization, and governance of predictive decisioning strategies supporting outbound collections operations. Develop, validate, deploy, and optimize predictive models supporting collections segmentation, prioritization, and treatment strategies”
What You'll Achieve.
drive recovery performance; customer experience; regulatory compliance; scalable, explainable, and compliant collections strategies; measurable business outcomes; RPC, PTP, liquidation rates, cures, roll rates, recovery performance, and operational KPIs
Industry & Context.
advanced analytics
Physical Demands: While performing the duties of this job, the employee is frequently required to sit, stand, walk, visualize, talk, hear, and handle or touch objects or controls. The employee may occasionally lift, push, or pull up to 20 pounds. This position is an office-based position where you must be able to sit for long periods of time. The employee will be working on a computer 90% of the time.
What They're Looking For.
Must Have
Bachelor’s degree in Analytics, Data Science, Statistics, Mathematics, Computer Science, Finance, Economics, or a related field, or commensurate work experience, 7 years of experience in decision science, collections strategy, credit risk analytics, or predictive modeling within a regulated financial services environment, Hands-on experience developing and deploying predictive models into production decisioning or collections platforms, Experience operationalizing machine learning models such as XGBoost, decision trees, logistic regression, or similar predictive methodologies, SQL skills, working knowledge of Python and/or R, Experience with collections platforms, decision engines, or dialer orchestration tools such as Pega Collections, Debt Manager, Aspect, Genesys, Noble, or similar technologies, Demonstrated experience designing and analyzing A testing and champion/challenger strategies in production environments, understanding of FDCPA, TCPA, CAN-SPAM, Regulation F, UDAAP, and applicable privacy regulations impacting collections operations, Experience translating analytical insights into operational strategies and measurable business outcomes, communication and stakeholder management skills with the ability to influence cross-functional teams and executive leadership
What You'll Do.
and governance of predictive decisioning strategies supporting outbound collections operations
and optimize predictive models supporting collections segmentation
and treatment strategies
Operationalize machine learning and statistical models directly within collections and decisioning platforms
Translate model outputs into executable decision logic
and contact strategies
Monitor production model performance and recalibrate strategies based on drift
and portfolio behavior
Design and govern outbound contact policies
including channel prioritization
and contact frequency limits
Lead A and multivariate testing initiatives across messaging
and strategy execution
Partner with Dialer Operations and Workforce Management teams to optimize list generation
and operational efficiency
Develop and maintain executive-level reporting and dashboards measuring RPC
Maintain model governance documentation
change management controls
and regulatory compliance support
Evaluate emerging technologies
decisioning capabilities
and analytics methodologies to continuously improve collections performance and customer outcomes
How You'll Work.
Team & Collaboration
partners closely with Operations, Technology, Compliance, and Risk teams; Collaborate cross-functionally with Compliance, Legal, Technology, Data Engineering, and Operations teams
Communication Scope
communication and stakeholder management skills with the ability to influence cross-functional teams and executive leadership
Full Job Description
The Director, Collections Decision Science & Strategy leads the design, deployment, optimization, and governance of predictive decisioning strategies supporting outbound collections operations across dialer, SMS, email, and digital engagement channels. This role combines advanced analytics, operational strategy, and production decisioning platform ownership to drive recovery performance, customer experience, and regulatory compliance. This leader is responsible for developing and operationalizing predictive models and decision logic within collections platforms such as Pega Collections, Debt Manager, and dialer orchestration systems. The role partners closely with Operations, Technology, Compliance, and Risk teams to deliver scalable, explainable, and compliant collections strategies aligned with FDCPA, TCPA, CAN-SPAM, Regulation F, UDAAP, and applicable privacy regulations. **Essential Functions** * Develop, validate, deploy, and optimize predictive models supporting collections segmentation, prioritization, and treatment strategies. * Operationalize machine learning and statistical models directly within collections and decisioning platforms, including Pega Collections, Debt Manager, and outbound dialer environments. * Translate model outputs into executable decision logic, workflows, thresholds, routing rules, and contact strategies. * Monitor production model performance and recalibrate strategies based on drift, operational outcomes, regulatory changes, and portfolio behavior. * Design and manage customer segmentation strategies aligned to delinquency stage, risk tiers, roll rates, payment behavior, and customer engagement patterns. * Define and govern outbound contact policies, including channel prioritization, cadence strategies, suppression logic, quiet hours, and contact frequency limits. * Lead A/B and multivariate testing initiatives across messaging, channel mix, pacing, cadence, and strategy execution. * Partner with Dialer Operations and Workforce Mana
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