EY | Intern Data Analysts - Financial Services

Hanoi

Intern

23/10 — 06/11/2026

Job Description

To apply for this job, you need to complete both steps below:

STEP 1:

Please click the link to submit your application directly to the company: 

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STEP 2:

Kindly scroll to the bottom of this page and complete the short VinUni Tracking Form.

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At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Are you ready to shape the future with confidence?

About the opportunity

The FSO team at EY Vietnam supports banks and financial institutions in:

  • Risk analysis and risk management (credit, fraud, operational, etc.)
  • Regulatory reporting and compliance
  • Financial data analytics
  • AML / Anti-fraud
  • Applying AI & Machine Learning in banking

We are looking for Fresher / Intern Data Analysts who aspire to grow their careers in Data & Risk Analytics.

What will you do?

  • Support the collection, cleaning, and processing of financial and transactional data
  • Write basic SQL queries for data extraction and analysis
  • Support building reports and dashboards (Power BI, Tableau, or similar tools)
  • Participate in data testing and reconciliation to ensure accuracy
  • Assist with data preparation for risk analytics or fraud detection use cases
  • Support basic steps of building analytical / machine learning models (data preparation, feature creation, basic model evaluation)
  • Present analysis results under the guidance of senior team members

You will receive training and guidance throughout your work.

Requirements

  • Final-year student or recent graduate in: Finance, Banking, Economics, Statistics, Applied Mathematics, Data Science, IT, or related fields
  • Basic knowledge of SQL or prior experience working with data
  • Basic understanding of Excel; knowledge of Power BI / Tableau is a plus
  • Foundational knowledge of statistics or machine learning (regression, classification, etc.) is an advantage
  • Interest in banking, finance, and risk management
  • Logical thinking, attention to detail, and eagerness to learn
  • Good communication and teamwork skills

Bonus points

  • Participation in academic projects or internships related to data analytics or machine learning
  • Knowledge of Python or R
  • Basic understanding of concepts such as credit risk, fraud, AML
  • Understanding of banking products

Benefits

  • Training and direct mentoring from experts
  • Participation in real projects with banks and financial institutions
  • Opportunity to become a full-time employee after the internship
  • Professional, dynamic working environment with long-term development orientation

Application form

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