APAC Region
Investment and Technology Internship – Singapore
Duration: 6 months
Location: Singapore
Robeco has been in APAC region since 2007. There are now offices in 5 major financial centers across the region, Hong Kong, Shanghai, Singapore, Tokyo and Sydney. APAC is both a distribution and marketing hub with 99 employees, of which 15 are investment professionals. At the end of 2024, regional AUM including locally managed assets was over USD 40 billion, which is approximatively 15% our Robeco’s global AUM. Sales and marketing coverage is across 12 markets or countries.
About the internship
Robeco is seeking a full-time intern to join its Asia Fixed Income Credits team in Singapore for a 6-month period. This internship is centered on developing a technology-driven solution to streamline and enhance the credit research process. The objective is to design and prototype a tool that leverages techniques such as natural language processing (NLP), document parsing, and data analytics to systematically extract and analyse information from financial reports, company disclosures, and ESG materials. The resulting structured outputs will support credit analysts in making more efficient, consistent, and informed investment decisions.
Main areas of responsibilities
The intern will work closely with a designated member of the Asia Fixed Income Credits team to support the enhancement and partial automation of the credit research process. This includes combining domain knowledge in fixed income investing with data science and NLP techniques to improve how financial and qualitative information is extracted, structured, and analysed.
Collaborate with the investment team to map existing workflows related to credit memo drafting and issuer analysis.
Assist in developing a technology-driven tool that leverages document analysis and natural language processing (NLP) to extract relevant information from financial reports, ESG disclosures, and investor presentations.
Work with structured and unstructured datasets to generate inputs for credit assessment, issuer comparisons, and sector-level analysis.
Support bottom-up credit evaluation by identifying and testing ways to streamline the interpretation of financial metrics, capital structure, and risk factors.
Monitor macroeconomic and regulatory developments across Asian and emerging markets to inform model outputs and enhance relevance.
Contribute to investment team discussions by surfacing insights from the tool’s outputs, and assist in preparing materials for internal credit reviews and investment committees.
Profile
We are open to applicants from a variety of backgrounds, including recent graduates or individuals in recognized upskilling programs. This role is well-suited for candidates with a hybrid skillset across finance and technology, and a strong interest in transforming the credit research process.
Preference will be given to candidates with, or currently pursuing, a Bachelor’s or Master’s degree in Computer Science, Financial Mathematics, or Statistics. Candidates from finance or economics disciplines are also welcome, provided they have a strong foundation in programming and data science.
Strong interest in financial markets, automation, data analytics, and data science.
Demonstrated experience or coursework in document analysis, NLP, or automated data extraction.
High proficiency in programming (e.g., Python) is a must and experience working with modern data platforms and tools such as Snowflake, Microsoft Azure, or equivalent technologies is a plus.
Able to work independently, with strong problem-solving and communication skills.
Eligible to work full-time in Singapore (Robeco cannot sponsor employment passes for this role).