Senior Credit Data Analyst

Analitica Tecnologia

. Design, test, and refine credit policies (underwriting, credit limits, and cutoff rules), measuring the impact of each change on approval rates, risk, and business results .

Posted 10/6/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in credit data analysis, including credit policy design and implementation, while effectively communicating complex analyses to non-technical stakeholders. Proficient in utilizing advanced SQL and Python for data analysis and monitoring key credit risk indicators.

Highest-signal resume keywords

Credit Data AnalysisCredit Policy ImplementationAdvanced SQLPython (Pandas, NumPy)Statistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Credit Policy DesignKPI TrackingVintage AnalysisA/B TestingStatistical Foundation

Soft Skills

Clear CommunicationAnalytical Thinking

Tools & Technologies

SAS

Industry Keywords

BankingFintechRetailTelecommunicationsCredit Risk Indicators

Tech Stack

Tools & technologies

NumpyPandasPythonSQL

About the role

Key responsibilities & impact

Design, test, and refine credit policies (underwriting, credit limits, and cutoff rules), measuring the impact of each change on approval rates, risk, and business results
Build and maintain tracking for credit KPIs, including approval rate, vintage delinquency, FPD, over 30/60/90, roll rate, and loss
Investigate KPI deviations, identify root causes, and present clear recommendations to the business team
Monitor the performance of models and scores used in credit policy (KS, Gini, PSI) and identify when recalibration is needed
Structure A/B tests and champion/challenger testing for credit policies
Present analyses to managers and business teams, translating numbers into actionable decisions
Serve as a technical reference for junior analysts by reviewing code and analyses

Requirements

What you’ll need

Solid experience—typically 5 or more years—in credit data analysis within banking, fintech, retail, or telecommunications
Practical experience with credit policy, including proposing, implementing, and monitoring policy changes
Strong command of key credit risk indicators and vintage analysis
Advanced SQL and Python for data analysis (pandas, NumPy)
SAS
Strong statistical foundation
Ability to explain complex analyses clearly to non-technical audiences

Benefits

Comp & perks

Cost-of-living allowance
Health insurance
Dental insurance
Meal voucher
Home office allowance
Gympass