Santander is seeking a Data Engineer I for their Risk team in Santiago, Chile. The role involves designing and developing risk analytical models using statistical tools and machine learning, with a focus on data management and compliance
Job Summary
Design and develop analytical risk models using statistical tools, data mining, and machine learning, building and maintaining variables that improve discrimination and prediction capacity, ensuring regulatory compliance and business value generation.
Your main responsibilities will include designing and building new variables using internal bank data for analytical models, standardizing and automating the variable generation and control flow to ensure quality and traceability, and performing exploratory data analysis.
Develop your career in a company where you can grow without borders, with opportunities for exchange and local and global mobility, and enjoy a 40-hour work week with flexibility options.
Matching Summary
Match Score: 75
Santander is seeking a Data Engineer I for their Risk team in Santiago, Chile. The role involves designing and developing risk analytical models using statistical tools and machine learning, with a focus on data management and compliance.
Skills & Requirements
Must-have
design and build new variables
standardize and automate variable generation
manage large volumes of information
implement data mining techniques
Python (basic level)
Nice-to-have
disruptive thinking
customer-centric transformation
proactive risk management
continuous learning
collaborative work
Key Requirements
Recent graduate or initial experience
Financial or analytical model construction experience