Data Scientist Model Validation IndaiatubaSP

As a Data Scientist with John Deere Financial in Indaiatuba Brazil you will be responsible for validating predictive models as a member of JDFs global Model Risk Management team. Working closely with colleagues across Brazil India and the United States you will apply analytical rigor critical thinking and effective challenge to assess model performance identify risks and strengthen model governance. Join a team that is passionate about ensuring models and data are used responsibly to support sound business decisions and effective risk management practices.

ENGLISH IS REQUIRED FOR ALL COMMUNICATIONS AND DOCUMENTS (Resume).

• Perform validation activities for models covering areas including Credit Risk Treasury Accounting Sales and Marketing;
• Contribute to various projects relating to risk identification and model validation processes;
• Perform validation of traditional statistical models as well as machine learning and GenAI-based analytical solutions;
• Evaluate compliance of models with internal Model Risk Management policies and regulatory expectations;
• Assess model limitations risks controls and business usage to ensure appropriate governance and risk mitigation.

• Bachelors Degree in Economics Computer Science Data Analytics Data Science Engineering Math Statistics or a related quantitative field;
• Advanced English (broad vocabulary strong grammar able to lead meetings debate negotiate and conduct training sessions);
• Experience in model building and data science;
• Experience with statistical modelling and data management tools such as Python R Databricks and SAS;
• Demonstrated experience with statistical and machine learning methodologies including time series analysis regression techniques classification models and credit scoring frameworks;
• Commitment to team success and a proactive collaborative approach to problem solving and different cultures and time zones;
• Good communication and teamwork skills;
• Availability for on-site work at the headquarters in Indaiatuba SP.

• Masters PhD or specialization in Data Science Economics Statistics Mathematics Computer Science Financial Engineering or a related quantitative field.
• Experience performing independent model reviews conceptual soundness assessments and outcome analysis;
• Understanding of SR 11-7 SR 26-2 CECL requirement and model validation practices;
• Understanding of model lifecycle management model risk governance and validation frameworks;
• Experience applying statistical analysis and analytical methodologies in analytics projects;
• Working knowledge of emerging AI and generative AI technologies with a desire to learn how these tools are evaluated monitored and governed in a model risk management framework;
• Knowledge of finance and accounting concepts;
• Understanding of the lending/banking industry;
• Ability to work on multiple projects simultaneously.