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Stefanini Brasil

Senior Collections Strategy Analyst

Stefanini Brasil

. Develop and structure hypotheses based on data and business context .

Posted 10/8/2026full-timeSão Paulo • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in data analysis and hypothesis development to drive business insights and product growth. Proficient in designing experiments and analyzing performance indicators within the financial sector.

Highest-signal resume keywords
Advanced Programming SkillsDashboard Development SkillsData Analysis ExperienceKnowledge of Financial ProductsCredit Cycle Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLPythonRPySparkApache SparkExcelA/B TestingAnalytical Stress TestingScenario SimulationsBacktesting
Soft Skills
Impact-Oriented StorytellingPrioritization Skills
Tools & Technologies
Power BI
Industry Keywords
Credit CardsAccountsLoansConsortiumsCustomer BehaviorPortfolio QualityEngagement IndicatorsMacroeconomic ContextFinancial ProductsCredit Cycle

Tech Stack

Tools & technologies
PySparkPythonSparkSQL

About the role

Key responsibilities & impact
  • Develop and structure hypotheses based on data and business context
  • Support the prioritization of initiatives based on impact and feasibility
  • Translate complex results into clear, actionable insights through impact-oriented storytelling
  • Help the bank’s various products grow by using data to answer business questions
  • Design, parameterize, and measure controlled experiments, including A/B tests and control/holdout groups
  • Map customer behavior throughout the product journey across the bank’s products—Credit Cards, Accounts, Loans, and Consortiums—analyzing activation, transaction activity, credit limit utilization, retention, and risk of delinquency
  • Develop backtests, analytical stress tests, and scenario simulations to validate changes to product policies and strategies
  • Diagnose the performance of credit vintages, connecting portfolio quality with engagement indicators and the macroeconomic context

Requirements

What you’ll need
  • Bachelor’s degree in Engineering, Business Administration, Statistics, Applied Mathematics, Economics, Computer Science, Technology, Physics, or a related field
  • Advanced programming skills (e.g., SQL, Python, R, PySpark, or Apache Spark)
  • Dashboard development skills, preferably with Power BI
  • Experience analyzing performance indicators and results
  • Proficiency in Excel
  • Preferred: Knowledge of financial products
  • Knowledge of the Credit Cycle
  • AI solutions: Experience using LLMs

Benefits

Comp & perks
  • Meal or food allowance
  • Discounts on courses, universities, and language institutions
  • Stefanini Academy—a platform offering free, up-to-date online courses with certificates
  • Mentoring
  • Benefits club for medical consultations and examinations
  • Medical insurance
  • Dental insurance
  • Benefits and discounts at leading establishments
  • Travel club
  • Pet insurance partnership