Credit Risk Insight And Appetite Specialist

23

Not specified; benefits: 25-28 vacation days; pens...
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Bachelor's degree in mathematics or related field
Proficiency in sas, python, sql, or power bi
Experience with data modeling and etl workflows
** ING is seeking a Junior Credit Risk Insight and Appetite Specialist to join their Global Credit Risk department. This hybrid role focuses on developing credit risk dashboards, forecasts, and analytics to ensure compliance and strategic alignment within ING's credit risk management framework. **

Job Summary

  • This role supports the Global Credit Risk department by delivering BCBS239-compliant dashboards and risk cost forecasts.
  • The successful candidate will assist in building analytics tools using SAS, Python, SQL, and Power BI to enhance reporting efficiency.
  • ING offers competitive benefits including 25-28 vacation days, a pension scheme, and hybrid working options.

Matching Summary

Match Score: 75

** ING is seeking a Junior Credit Risk Insight and Appetite Specialist to join their Global Credit Risk department. This hybrid role focuses on developing credit risk dashboards, forecasts, and analytics to ensure compliance and strategic alignment within ING's credit risk management framework. **

Salary

Not specified; Benefits: 25-28 vacation days; Pension scheme; 13th month salary; 8% Holiday payment

Skills & Requirements

Must-have

  • Bachelor's degree in Mathematics or related field
  • Proficiency in SAS, Python, SQL, or Power BI
  • Experience with data modeling and ETL workflows
  • Knowledge of BCBS239 compliance standards
  • Strong analytical thinking and data storytelling skills

Nice-to-have

  • Proactive and solution-oriented mindset
  • Ability to work independently in a team
  • Curiosity and commitment to continuous learning
  • Experience with regulatory audit engagements
  • Willingness to explore new reporting technologies

Key Requirements

  • Minimum Bachelor's degree in Mathematics, Econometrics, Computer Science, or Statistics
  • 3-6 years of relevant experience in data reporting and analytics within finance
  • Hands-on proficiency in SAS 4GL or Python for complex analytical challenges

Work Rights

Not specified

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