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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

5Open Positions

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  • Intern - Credit Risk

    inbank
    Riga, Latvia
    Found 1 month ago
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    Lloyd's
    London, United Kingdom
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    Amsterdam, Netherlands
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  • Stagiair Mode & Duurzaamheid

    Wehkamp Retail Group
    Zwolle, Netherlands
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    Fater
    Spoltore, Italy
    Found 2 months ago

Intern - Credit Risk

inbank
Found 1 month ago
Location
Riga, Latvia
Duration (Months)
3 Months
Time
Full-time
Work Mode
Not disclosed
Salary
€780
Visa Help
Not disclosed
Last Verified
1 month ago

Skills & Qualifications

Technical Skills

  • SQL
  • Tableau
  • BI reporting
  • Excel
  • Python
  • R
  • Data analysis

Soft Skills

  • Data-driven
  • Curious
  • High attention to detail
  • Logical conclusions
  • Document your work
  • Present results clearly

Job Description

We’re now looking for a data-driven and curious Credit Risk Analytics Intern to support our first-line credit risk activities. This is a unique opportunity to work with real-world credit decisioning data and see exactly how advanced analytics drives the daily operations of a modern digital bank. What will you be doing? * Working on credit risk tasks tailored to your strengths—whether it’s deep-dive data exploration or building robust monitoring tools. * Contributing to the development of Tableau dashboards and tracking KPIs to keep our risk management on point. * Analyzing datasets and external data sources to identify trends, anomalies, and potential data quality issues. * Documenting your findings and communicating complex results clearly to the team to support strategic decision-making.

Requirements

  • At least intermediate SQL skills—you are comfortable joining multiple tables and navigating databases.
  • Experience with Tableau/BI reporting or a flair for data analysis using Excel, Python, or R.
  • You don’t just see numbers; you see patterns. You have a high attention to detail and a natural ability to draw logical conclusions.
  • The ability to document your work and present results clearly in both written and visual forms.
  • Fluent written and spoken English (as we work in an international setup).
  • Relevant studies (Finance, Econometrics, Math, Data Science) or equivalent practical projects are a big plus.

Related Field

  • Finance and Banking

Related Subfield

  • Risk Management

Languages

  • English

Nice to Haves

  • Relevant studies (Finance, Econometrics, Math, Data Science)
  • equivalent practical projects
▶Apply Now

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