Sustainable Investing & Data Science 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 Sustainable Alpha (SA) Research in Singapore for a c. 6 month period. This internship will have a specific focus on scaling how we generate investment-relevant ESG insights for our TMT coverage. The role offers hands-on exposure to (i) building practical AI- and data-driven tools that automate parts of the fundamental research workflow and (ii) producing structured datasets and scorecards that can be used to assess ESG factors across companies. The intern will work closely with SA Research to advance the automation of fundamental ESG research, combining sustainability and investment domain knowledge with applied AI and data skills.

The intern will work closely with the Lead TMT Analyst in the SA Research team to build new and develop existing prototypes, integrate, and operationalise solutions that fit real investment process needs, based on two core objectives:

Research production automation

• Develop AI-assisted workflows to extract, summarise, and monitor financially material ESG signals from earnings calls, annual reports, sustainability disclosures, and other reports/databases, with a focus on TMT coverage.

• Automate tracking and identification of new disclosures, emerging risks, and key ESG developments, and quantifying the impact of these to financial materiality (risk, cost, growth).

• Package outputs into investment-team-ready formats that integrate into existing workflows.
  
  

Scalable datasets & scorecards

• Design and maintain structured datasets and evidence-based scorecards for proprietary assessments and comparison of ESG factors across companies and/or sectors.

• Ensure data standards and make outputs auditable, maintainable, and reusable.

• Deliver comprehensive handover package to support ongoing scaling beyond the internship.

We seek candidates with a hybrid profile combining AI/data skills with an understanding of critical ESG topics and interest in sustainable investing, and a motivation to build practical tools to automate and improve research workflows.

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

• Strong interest in ESG and investment decision-making.

• Practical experience working with unstructured data and building workflows for document parsing, NLP/LLM-based extraction, and summarisation.

• High proficiency in Python and familiarity with modern data/AI tooling (e.g., Azure, Snowflake, equivalent) an advantage.

• Comfortable working independently on technical problems with strong communication skills.

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