建模分析师
Modeling Analyst
#### 公司简介
Experian 是一家全球数据和技术公司，为世界各地的个人和企业创造机会。我们在多个市场运营，包括金融服务、医疗保健、汽车、农业、保险等。Experian 投资于人才和先进技术，以释放数据的潜力。我们在 32 个国家拥有 25,200 名员工。
我们的独特之处在于重视你的价值。Experian 的以人为本、包容和有目标导向的文化获得了众多奖项的认可——包括 2025 年《财富》全球最佳工作场所（Top 25）以及在 26 个国家获得的“最佳工作场所”认证等。查看 Experian 的社交媒体或浏览我们的职业网站，了解原因。Experian 还自豪地成为平等就业机会和积极行动的雇主。
#### 职位描述
关于这个领域
Serasa Experian 的建模团队负责开发支持金融市场上最大参与者及其他多个领域的信用和风险管理决策的分析模型。我们处理大量数据，使用先进的机器学习和统计技术，始终致力于为客户提供实际影响。
你将负责
- 为信用、风险和其他分析解决方案开发统计和机器学习模型。
- 参与模型开发的各个阶段，从数据探索和准备到验证、文档编写和部署。
- 与大型结构化和非结构化数据库合作，识别价值生成的机会。
- 通过统计和业务指标评估模型性能，并提出持续改进方案。
- 与跨职能团队（产品、工程、分析、商业和客户）互动，理解业务问题并将其转化为分析解决方案。
- 监控生产环境中模型的性能，并提出监控、重新校准和演进策略。
- 为建模、编程和分析治理的最佳实践传播做出贡献。
- 成为更初级分析师的技术参考，支持他们的成长。
我们寻找的人选
优先资格
- 具有 PySpark、Databricks 或分布式环境的经验。
- 熟悉 MLOps 和将模型部署到生产环境。
- 具有基于替代数据的模型经验。
- 量化领域的研究生或硕士学位
查看英文原文
#### Company Description
Experian is a global data and technology company that powers opportunities for people and businesses around the world. We operate in diverse markets, such as financial services, healthcare, automotive, agribusiness, insurance, among 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-centric, inclusive, and purpose-driven culture is recognized by numerous awards — including World’s Best Workplaces™ 2025 (Fortune's Top 25 global) and Great Place To Work™ in 26 countries, among others. Check out Experian Life on social media or explore our careers site to understand why. Experian is also proud to be an equal opportunity employer and an affirmative action employer.
#### Job Description
About the area
The Modeling area at Serasa Experian is responsible for developing analytical models that support credit and risk management decisions 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.
- 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 for value generation.
- 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 strategies for monitoring, recalibration, and evolution.
- Contribute to the dissemination of best practices in modeling, programming, and analytical governance.
- Act as a technical reference for more junior analysts, supporting their development.
What we are looking for
Preferred qualifications
- Experience with PySpark, Databricks, or distributed environments.
- Knowledge of MLOps and deploying models into production.
- Experience with models based on alternative data.
- Postgraduate degree or Master's degree 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 a sense of ownership.
- Ability to work in dynamic environments with multiple projects.
#### Qualifications
Requirements
- Higher education degree in Statistics, Mathematics, Engineering, Computer Science, Economics, Physics, or related fields.
- Solid experience in developing statistical and/or Machine Learning models.
- Knowledge of credit modeling (Application, Behaviour, Collection, or regulatory models) will be considered an important differentiator.
- Proficiency in Python and/or SAS.
- Experience with SQL and manipulating 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 complements 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 career with their personal commitments and interests, valuing 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, in addition to being recognized as one of the best companies for young professionals and having a 4.6 rating on Glassdoor. Each recognition indicates that we are on the right path, providing an increasingly better work environment for our talent.
Experian Careers - Creating a better tomorrow together
[Find out what its like to work for Experian by clicking here](https://www.experian.com/careers/)