Data Engineer I Risk | Plazo Fijo | Santiago

Santander

Santiago, Chile
Hybrid
Data modeling
Data analysis
Python programming
Santander is seeking a Data Engineer I for the Risk department in Santiago, Chile. The role involves designing and developing risk analytical models with a focus on data analysis, machine learning, and compliance, while fostering a culture of innovation and teamwork

Job Summary

  • The mission is to design and develop risk analytical 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.
  • Key responsibilities include designing and building new variables using internal bank data, standardizing and automating variable generation flows, performing exploratory data analysis, and controlling information stability for models.
  • Santander offers a competitive compensation package, career development opportunities, continuous training, flexible work arrangements including hybrid work, and a comprehensive well-being program.

Matching Summary

Match Score: 85

Santander is seeking a Data Engineer I for the Risk department in Santiago, Chile. The role involves designing and developing risk analytical models with a focus on data analysis, machine learning, and compliance, while fostering a culture of innovation and teamwork.

Skills & Requirements

Must-have

  • Data modeling
  • Data analysis
  • Python programming
  • Big Data environments
  • Risk analytical models

Nice-to-have

  • Proactive risk management
  • Customer-centric transformation
  • Disruptive thinking
  • Continuous learning

Key Requirements

  • Degree in Mathematical Engineering or Statistics
  • Intermediate English (B1)
  • Initial experience in data analysis or analytical models
  • Experience or internship in financial or analytical model construction

Work Rights

Not specified

Tailored Resume

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