Islamic Development Bank

Intern-HQ- Risk Management

Postuler sur le site officiel
Lieu d'affectation
🇸🇦 Jeddah, Saudi Arabia
Pays / zone
Saudi Arabia
Région
Asia
Système ONU
Multilateral Bank
Requisition ID
5897
Clôture
8/2/2026, 12:00:00 AM

À propos de ce poste

The Islamic Development Bank is seeking an undergraduate student in their final year of study in Software or Computer Engineering for a 3-month internship at their headquarters in Jeddah, Saudi Arabia. The role focuses on risk data analysis and reporting within a professional environment. Interns will support data analysis, dashboard development, process automation, and reporting to contribute to data accuracy, operational efficiency, and informed decision-making. Key responsibilities include supporting risk data analysis using advanced MS Excel and Power Query, assisting in process automation and data extraction via VBA/macros and SQL, contributing to risk dashboards using Power BI, and utilizing Python and/or R for quantitative analysis. Additionally, the intern will leverage AI tools such as ChatGPT, Claude, and Copilot to improve analytical insights and streamline reporting processes. The ideal candidate is a final-year undergraduate student with strong technical skills in data analysis, programming, and visualization tools, fluent in English.

Exigences clés

  • Undergraduate student in final year
  • Major in Software or Computer Engineering
  • Fluency in English

Atouts appréciés

  • Experience with Machine Learning & AI Tools
  • Knowledge of ChatGPT, Claude, Microsoft Copilot

Exigences en un coup d'œil

Diplôme requis
Undergraduate student in final year in Software or Computer Engineering.
Langues
English

OVERVIEW

Country:

Saudi Arabia 

Location:

Jeddah

Contract Type:

Internship 

Closing Date:

2-August-2026

Preferred Internship Duration:

3 Months

Major:

  • Software
  • Computer Engineering

Level of Study:

Undergraduated student in final year.

Skills

  • Advanced Microsoft Excel: PivotTables, Conditional Formatting, Advanced Functions, Power Pivot, VBA & Macros
  • SQL: Query Writing and Data Extraction
  • Power Query (Excel/Power BI)
  • Microsoft Power BI: Data Modeling, Dashboards, and Visualization
  • Python Programming: NumPy, Pandas
  • Version Control: Git, GitHub
  • R Programming
  • Machine Learning & AI Tools: ChatGPT, Claude, Microsoft Copilot

Language requirement

• English

Internship Objective

The internship aims to provide students with practical experience in risk data analysis and reporting within a professional environment. Interns will support data analysis, dashboard development, process automation, and reporting while contributing to data accuracy, operational efficiency, and informed decision-making.

Scope of Work

  • Data Analysis & Reporting: Support risk data analysis and reporting using advanced MS Excel (Pivot Tables, functions, conditional logic, Power Pivot) and Power Query.
  • Automation & Data Handling: Assist in process automation and data extraction using VBA/macros and SQL queries to enhance efficiency and data integrity.
  • Visualization & Programming: Contribute to risk dashboards and analytics using Power BI, with additional support from Python and/or R for quantitative analysis.
  • Digital & AI Enablement: Leverage AI tools such as ChatGPT, Claude, and Copilot to improve analytical insights and streamline reporting processes.

About Application Process 
If you meet the criteria and you are enthusiastic about the internship role, we would welcome your application. To complete the application you would need the following document(s):

  • Resume/CV
  • Copy of passport
  • Academic certificate

The Islamic Development Bank (IsDB) does not ask for payments of any kind from applicants throughout the recruitment process (job application, CV review, interview meeting, and final processing of applications). In addition, the IsDB does not request information on applicants’ bank accounts. The IsDB declines all responsibility for the fraudulent publications of job posts or job offers in its name or, in general, for the fraudulent use of its name in any way whatsoever.

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