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Fresher / Intern Data Analysts - Financial Services - Hanoi Office

EY

Fresher / Intern Data Analysts - Financial Services - Hanoi Office

EY

·

On-site

·

Internship

·

6d ago

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

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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About EY

EY

EY

Public

A provider of assurance, tax, transaction, and advisory services.

10,001+

Employees

London

Headquarters

Reviews

3.8

15 reviews

Work Life Balance

2.5

Compensation

3.8

Culture

3.0

Career

3.5

Management

3.0

65%

Recommend to a Friend

Pros

Competitive compensation packages

Good career advancement opportunities

Strong brand recognition

Cons

Work-related stress and pressure

Limited negotiation flexibility on offers

Uncertain job security during economic downturns

Salary Ranges

31,254 data points

Mid/L4

Mid/L4 · Operations Research Analyst

1,738 reports

$142,571

total / year

Base

$136,899

Stock

-

Bonus

$5,673

$100,128

$203,912

Interview Experience

7 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

57%

Interview Process

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Technical/Case Interview

5

Partner/Director Interview

6

Offer

Common Questions

Behavioral/STAR

Case Study

Technical Knowledge

Past Experience

Culture Fit