Data Science & Investment Research Internship

Robeco has recognized APAC’s strategic importance since establishing its regional headquarters in Hong Kong in 2008. Today, the firm has a strong presence across the region, with offices in Singapore, Shanghai, Sydney, Melbourne, and Tokyo, combining deep local market knowledge with global investment expertise. APAC is a core growth market for Robeco and a key part of its long-term strategy.

Robeco is seeking a full-time intern to join its Asia Fixed Income Credits team in Singapore for a 6 to 9 month period. This internship is designed to support the next stage of Robeco’s AI adoption, with a specific focus on fundamental credit research. The role offers hands-on exposure to the development and deployment of AI models within a financial context, including working with large-scale data platforms and analytics pipelines. Interns will gain practical experience in building, integrating, and operationalising AI solutions for real investment workflows.

The intern will work closely with the Asia Fixed Income Credits team to advance the automation of fundamental credit research, combining fixed income domain knowledge with applied AI and data engineering.

• Translate core credit research workflows (e.g. credit memos, issuer reviews, relative-value analysis) into scalable, code-based processes.

• Develop and refine AI/LLM-driven pipelines to extract and synthesise information from financial reports, ESG disclosures, and investor materials.

• Build structured datasets to support issuer comparison, peer screening, and sector analytics.

• Implement model- and agent-based workflows to support bottom-up credit assessment across financial, business, and sustainability dimensions.

• Integrate macro and regulatory context into analytical outputs to enhance investment relevance.

• Deliver AI-generated insights to support internal credit reviews and portfolio discussions.
  

We seek candidates with a strong profile in computer science, and a clear interest in applying AI to real-world investment research.

• Bachelor’s or Master’s degree (or in progress) in Computer Science, Data Science, Financial Engineering, Statistics, or a related field. Candidates from Finance/Economics are welcome with demonstrable programming and data capability.

• Practical experience with document parsing, NLP, or automated information extraction.

• High proficiency in Python, with exposure to modern data and AI platforms (e.g. Snowflake, Azure, or equivalent).

• Interest in financial markets and the use of automation and AI in investment decision-making.

• Comfortable working independently on technical problems and communicating clearly with investment professionals.

• Eligible to work full-time in Singapore (no visa sponsorship available).