Model Risk Analyst III - Validation
M&T BankFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should possess a Bachelor's degree in a statistical, mathematical, or technical field and have at least 1 year of experience in quantitative analysis. A working knowledge of SQL, DBeaver, and database structures is required, with experience in R and Python being a significant advantage. Strong organizational, communication, interpersonal, analytical, and problem-solving skills are essential, along with the ability to document work clearly and prioritize effectively. Fluency in English and Portuguese is mandatory.
The Data Quality Specialist will execute data validation processes for Consumer Panel Services and associated project work, analyze key quality indicators, and implement improvements. Responsibilities include building knowledge of internal data validation tools, performing data review and quality checks to identify deviations, and investigating and resolving data queries. The role involves engaging with Project Managers and Data Science teams to ensure smooth operations and contributing to the standardization of processes.
Global measurement and data analytics provider
Nielsen provides measurement and data analytics services to help businesses understand consumers and markets globally. The company operates through two main divisions: Nielsen Global Media, which offers reliable metrics for the media and advertising industries, and Nielsen Global Connect, which supplies consumer packaged goods manufacturers and retailers with actionable insights about the marketplace. Nielsen combines its proprietary data with other sources to give clients a comprehensive view of current trends and future opportunities. With a presence in over 100 countries, Nielsen aims to support companies in making informed decisions to drive innovation and growth.