C.顧問類-數據分析與流程風險顧問(金融業)

PwC PricewaterhouseCoopers GmbH

Python or sas data analysis tools
Banking credit risk model experience
Two years financial industry experience
The role involves planning digital transformation by building data analysis models such as customer segmentation and fraud detection

Job Summary

  • The role involves planning digital transformation by building data analysis models such as customer segmentation and fraud detection.
  • Candidates will assist in constructing banking credit risk models including probability of default, loss given default, and exposure at default.
  • Applicants must possess practical experience with data analysis tools like Python or SAS within the financial sector.

Matching Summary

The role involves planning digital transformation by building data analysis models such as customer segmentation and fraud detection.

Skills & Requirements

Must-have

  • Python or SAS data analysis tools
  • Banking credit risk model experience
  • Two years financial industry experience

Nice-to-have

  • Power BI visualization skills preferred
  • Customer segmentation modeling knowledge
  • Fraud detection model expertise

Key Requirements

  • 2+ years work experience in financial industry
  • Proficiency in Python or SAS required
  • Experience with credit risk modeling

Work Rights

Not specified

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