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Mid-level Credit Modeling Analyst - Remote

Posted 22 hours ago
Data Analysis
Full Time
Brazil

Overview

We are looking for a Mid-level Credit Modeling Analyst to join our Credit Modeling Team at Serasa Experian, where you will develop solutions that enhance decision-making quality for our clients using advanced statistical techniques and machine learning.

In Short

  • Develop credit risk models using statistical techniques and machine learning in Python.
  • Manipulate and analyze data using Python.
  • Conduct Ad Hoc studies and statistical analyses.
  • Interpret and evaluate results to ensure they align with business needs.
  • Translate complex technical explanations into easily understandable insights for varied audiences.

Requirements

  • Experience in Python for data manipulation, analysis, and statistical model development.
  • Strong communication skills for interaction with external and internal clients.
  • Proactive with a focus on results and quality.
  • Analytical and curious mindset for continuous learning and development.
  • Knowledge of Gen AI is a plus.
  • Intermediate/Advanced English is a plus.

Benefits

  • Work in a diverse and inclusive environment.
  • Opportunity for career growth and development.
  • Recognition as one of the best companies to work for in Brazil.
  • Strong focus on employee well-being and work-life balance.
Experian logo

Experian

Experian is the world's leading global information services company, dedicated to empowering consumers and clients to manage their data with confidence during significant life events such as buying a home, a car, or sending a child to college. With a workforce of 20,000 people across 44 countries, Experian invests in new technologies and ideas to help clients make informed decisions, access financial services, and prevent identity fraud. Recognized as one of the 100 Best Companies to Work For by FORTUNE and listed among the World's Most Innovative Companies by Forbes Magazine, Experian prioritizes a people-first culture that emphasizes diversity, equity, and inclusion.

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