1. What you'll learn & do:

Data Extraction & Analysis (Training + Hands-On Practice)

• Learn how to analyze corporate announcements, annual reports, IPO prospectuses, stock exchange filings, and public sources.
• Assist in extracting and validating relationships between people and companies.
• Help review large volumes of documents and articles, learning how to interpret and categorize key information.
• Support background checks and screenings using internal and external databases.
• Review preliminary AI-generated predictions for consistency and accuracy.
• Develop a basic understanding of how machine learning models support operational workflows.

Process Optimization & Automation (Exposure + Participation)

• Observe and identify repetitive manual tasks under guidance.
• Contribute ideas or feedback to improve internal tools and processes.
• Participate in user testing and provide feedback on new automation features.

Cross-functional Collaboration

• May work alongside Product, Engineering, and Data Analytics teams to support data-driven projects.
• Assist in documentation, workflow guides, and knowledge-sharing materials.
• Participate in team discussions and learn how various functions work together in a data organization.

Reporting & Custom Requests

• Support the preparation of simple data summaries or reports.
• Learn how to extract insights from internal databases and external sources.

2. We are interested to speak to you if you are:

• Currently pursuing or recently completed a Diploma or Bachelor’s degree in Economics, Business, Finance, Data, or related fields is an advantage but not required.
• Strong analytical and critical-thinking skills with high attention to detail.
• Familiarity with corporate structures or company disclosures is a plus (training will be provided).
• Comfortable with Excel and PowerPoint; exposure to SQL, Power BI, Tableau, or Python is a bonus.
• Ability to read/write Mandarin is an advantage (not required).
• Able to commit 8 hours/day, 5 days/week (Monday-Friday).
• Able to onboard from May/June onwards.

3. Benefits:

• Meaningful exposure to real financial market data and operational processes.
• Mentorship from experienced team members.
• Opportunities to build practical skills that prepare you for a full-time Data Operations role.
• A collaborative environment where your questions and ideas are valued.
• Allowance will be provided.

4. Company address:  9th floor, Viet Tower, No. 1 Thai Ha, Dong Da, Hanoi

5. To apply, please complete the following steps:

• Access to this link to register: Handshakes Internship Program 2026 – Fill out form 
• Email a copy of your CV/résumé to: hr-recruitment@handshakes.ai