Company Description
Experian is a global data and technology company that drives opportunities for people and businesses around the world. We operate in diverse markets, such as financial services, healthcare, automotive, agribusiness, insurance, and others. Experian invests in people and new advanced technologies to unlock the power of data. We have an incredible team of 25,200 employees in 32 countries.
Our uniqueness is valuing yours. Experian's people-centered, inclusive, and purpose-driven culture is recognized by various awards — including World's Best Workplaces™ 2025 (Top 25 global by Fortune) and Great Place To Work™ in 26 countries, among others. Check out Experian Life on social media or explore our careers website to understand why. Experian also takes pride in being an employer that promotes equal opportunity and affirmative action.
Job Description
About the area
The Modeling area of Serasa Experian is responsible for developing analytical models that support credit decisions and risk management for the largest players in the financial market and various other segments. We work with large volumes of data, advanced Machine Learning and Statistics techniques, always seeking to generate real impact for our clients.
What you will do
- Develop statistical and Machine Learning models for credit, risk, and other analytical solutions applications.
- Conduct all stages of the model development cycle, from data exploration and preparation to validation, documentation, and deployment.
- Work with large structured and unstructured databases, identifying opportunities to generate value.
- Evaluate model performance through statistical and business metrics, proposing continuous improvements.
- Interact with multidisciplinary teams (Product, Engineering, Analytics, Commercial, and Clients) to understand business problems and transform needs into analytical solutions.
- Monitor the performance of models in production and propose monitoring, recalibration, and evolution strategies.
- Contribute to the dissemination of best practices in modeling, programming, and analytical governance.
- Act as a technical reference for junior analysts, supporting their development.
Differentials
- Experience with PySpark, Databricks, or distributed environments.
- Knowledge of MLOps and model deployment in production.
- Experience with models based on alternative data.
- Postgraduate degree or Master's in quantitative fields.
- Knowledge of regulations related to credit risk management.
Competencies
- Analytical profile and problem-solving oriented.
- Intellectual curiosity and interest in innovation.
- Ability to transform data into business insights.
- Collaboration and teamwork.
- Proactivity and sense of ownership.
- Ease in working in dynamic environments with multiple projects.
Qualifications
Qualifications
- Higher education in Statistics, Mathematics, Engineering, Computer Science, Economics, Physics, or related fields.
- Solid experience in developing statistical and/or Machine Learning models.
- Knowledge in credit modeling (Application, Behaviour, Collection, or regulatory models) will be considered an important differential.
- Proficiency in Python and/or SAS.
- Experience with SQL and manipulation of large databases.
- Knowledge of supervised and unsupervised Machine Learning techniques.
- Knowledge of applied statistics, model validation, and metrics such as KS, Gini, AUC, PSI, among others.
- Experience using Git or version control tools.
- Good communication skills to present technical results to different audiences.
Additional Information
Serasa Experian is much more than you imagine. With the purpose of creating a better future, expanding opportunities for people and businesses, in Brazil we are more than 4,000 people working in diverse teams and specialties. Here, each knowledge and diversity complement each other and you can work on what you love most. We are committed to building an inclusive culture and an environment in which people can balance their careers with their personal commitments and interests, prioritizing well-being.
We are very dedicated to being one of the best and most innovative companies to work for in the country, enabling incredible experiences and careers for our people. Our strong people-first approach is recognized externally through various market certifications: we were awarded by Great Place To Work™ in 24 countries and by the international Top Employers certification, and we are recognized as one of the best companies for young professionals and have a 4.6 rating on Glassdoor. Each recognition indicates that we are on the right path, providing an increasingly better work environment for our talents.
Experian Careers - Creating a better tomorrow together
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