Modeling Analyst, Junior

Experian

Junior Modeling Analyst supporting the development and monitoring of analytical models for credit and risk at Experian. Opportunity for early-career professionals to grow data analysis skills.

Posted 7/1/2026full-timeRemote • 🇧🇷 BrazilJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong analytical skills and proficiency in SQL and Python for data manipulation and analysis, with a foundational understanding of Machine Learning and Artificial Intelligence. Capable of supporting the development and validation of predictive models in credit and risk, while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

SQL ProficiencyPython ProficiencyData AnalysisMachine Learning KnowledgeCredit Risk Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisApplied StatisticsPredictive ModelingDatabase ManipulationExploratory Data Analysis

Soft Skills

Analytical SkillsProblem SolvingCollaboration

Industry Keywords

CreditRiskFinancial ServicesData ScienceArtificial Intelligence

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Support the development, validation and monitoring of predictive models for credit and risk.
Perform exploratory data analysis to identify patterns, trends and opportunities for improvement.
Build queries and manipulate databases to generate insights and key metrics.
Contribute to model documentation and governance.
Collaborate with cross-functional teams to support analytical and business initiatives.
Stay up to date with new techniques and tools related to Data Science, Machine Learning and Artificial Intelligence.

Requirements

What you’ll need

Bachelor's degree completed or near completion in Statistics, Mathematics, Engineering, Computer Science, Economics, Physics or related fields.
Knowledge of data analysis and applied statistics.
Proficiency in SQL and/or Python for data manipulation and analysis.
Analytical skills and interest in solving business problems through data.
Intermediate English for reading technical documentation and professional development.
Desired: Academic experience, internships or projects related to modeling, data analysis or financial markets.
Basic knowledge of Machine Learning and Artificial Intelligence.
Experience or interest in credit, risk or financial services.
Participation in research projects, data competitions or analytics initiatives.

Benefits

Comp & perks

Health insurance
401(k) with matching
Flexible working hours
Paid leave
Opportunities for professional development