AI-Driven Sales & Market Research Intern (Summer)

Moody's Investors Service; Singapore; Hybrid; SGD 20,000 - 31,000; Part time

Job summary

Moody's Investors Service in Singapore offers a summer internship for penultimate-year students in business, marketing, or information systems. You will conduct market research on regulatory trends and opportunities across ASEAN, and help develop campaign messaging while using AI-enabled tools to enhance sales execution.

You will collaborate with Relationship Managers and product teams to translate client needs into problem statements and actionable steps, gaining hands-on experience in data

Qualifications

• Market research and AI-enabled research experience preferred.
• Strong data analysis and ability to present insights clearly.
• Effective communication with stakeholders across channels.
• Good organizational habits and ability to manage multiple tasks.
• Interest in sales, AML, and data-driven decision making.
• Availability to work from June to August.

Responsibilities

• Conduct market research on regulatory trends across ASEAN.
• Support pipeline development for Corporate & Government accounts.
• Develop targeted campaign messaging and sales content.
• Refine go-to-market materials and client-ready content.
• Use AI-enabled tools to improve sales efficiency and quality.
• Produce reusable campaign content with ASEAN teams.
• Collaborate with product and presales to translate client needs into actions.

Skills

Market research

AI literacy

Data analysis

Stakeholder comms

Organizational skills

Sales interest

Avail June-Aug

Education

Pursuing a bachelor’s degree in a related field

Job description

Moody's Investors Service in Singapore offers a summer internship for penultimate-year students in business, marketing, or information systems. You will conduct market research on regulatory trends and opportunities across ASEAN, and help develop campaign messaging while using AI-enabled tools to enhance sales execution.

You will collaborate with Relationship Managers and product teams to translate client needs into problem statements and actionable steps, gaining hands-on experience in data