Collections Strategy Manager

Omni Conectado

. Lead the company’s collections strategy, developing policies, performance indicators, and initiatives focused on maximizing credit recovery.

Posted 10/15/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Collections Strategy and Credit Recovery, utilizing advanced statistical analysis and data modeling to drive decision-making and optimize portfolio performance. Proven ability to lead teams and implement AI and automation solutions to enhance operational efficiency.

Highest-signal resume keywords

Collections StrategyStatistical AnalysisData ModelingPython ProficiencyPortfolio Segmentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisData ModelingPredictive ModelsClustering TechniquesRegression AnalysisDecision TreesMachine LearningCollections StrategyCredit RecoveryPerformance Indicators

Soft Skills

LeadershipCollaborationHigh Performance CultureStrategic ThinkingCommunication

Tools & Technologies

PythonSQLPower BIMicrosoft FabricData Analysis Tools

Industry Keywords

PDDLGDEADCredit Recovery IndicatorsFinancial InstitutionsFintech

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead the company’s collections strategy, developing policies, performance indicators, and initiatives focused on maximizing credit recovery.
Build advanced portfolio analyses to identify opportunities and define segmented collections strategies.
Develop statistical models, analytical studies, and portfolio segmentation approaches to support data-driven decision-making.
Structure and enhance collections campaigns, treatment strategies, and customer journeys for different customer and portfolio profiles.
Lead the definition and monitoring of strategic performance indicators.
Work closely with Business Units, Operations, Technology, Data teams, and external partners to ensure alignment and execution of strategies.
Conduct studies related to PDD, LGD, EAD, and other risk and recovery indicators.
Explore and implement Artificial Intelligence and automation solutions to improve operational and analytical efficiency.
Manage and develop a specialized team, fostering a culture of ownership, collaboration, and high performance.
Support senior leadership in developing executive analyses and strategic recommendations for the business.

Requirements

What you’ll need

Proven experience in Collections Strategy, Credit, or Credit Recovery within banks, financial institutions, or fintech companies.
Experience managing large-scale and auto loan portfolios and collections strategies.
Advanced knowledge of statistical analysis and data modeling.
Experience with clustering, portfolio segmentation, and predictive models.
Knowledge of statistical methodologies, including regression, decision trees, machine learning, and clustering techniques.
Proficiency in Python, SQL, and data analysis tools.
Experience with Power BI, Microsoft Fabric, or similar platforms.
Familiarity with Artificial Intelligence applied to business and the automation of analytical processes.
Knowledge of PDD, LGD, EAD, and credit recovery indicators.
Experience leading and developing technical teams.
Bachelor’s degree in Statistics, Mathematics, Engineering, Economics, Business Administration, Data Science, or a related field.
Graduate degree or specialization in Data, Analytics, Statistics, Machine Learning, or related fields is a plus.

Benefits

Comp & perks

Childcare assistance for children up to 6 years and 11 months old
TotalPass and Wellhub memberships to support your physical well-being
Hybrid 3x2 work model (remote and in-office)
Flexible meal and food allowance card
Transportation allowance
Medical and dental insurance (SulAmérica, private room)
Life insurance
Wellness program (running and much more)
Birthday day off
Conexa Saúde – online consultations with no copay
Profit sharing
No dress code – be yourself!
Flexible working hours
Corporate University
And much more!