We are looking for an energetic and driven candidate with a strong interest in real estate investment; 2) 2nd or 3rd year undergraduate studying towards a degree in accountancy, finance, economics, real estate or another related subject. Master students can also apply; 3) Keen interest in the real estate investment field and willing to learn; 4) Team player; 5) Strong excel modelling and analysis skill; 6) Good communication skills (both verbal and written); and 7) Good analytical skills (both quantitative and qualitative)
Educational Background & Technical Foundations Pursuing a degree in Computer Science, Data Science, Engineering, or a related field Strong fundamentals in programming (preferably Python) and SQL Basic understanding of data structures, algorithms, and software engineering principles 2. Data & AI Knowledge Familiarity with data processing concepts (ETL/ELT, data modeling, data cleaning) Exposure to machine learning fundamentals (e.g., supervised/unsupervised learning, model evaluation) Experience with common data/ML libraries (e.g., Pandas, NumPy, scikit-learn) is a plus 3. Tools & Platform Exposure Exposure to cloud platforms (e.g., AWS, Azure, or GCP) and modern data ecosystems is advantageous Familiarity with databases (SQL/NoSQL) and data warehousing concepts (e.g., Snowflake, BigQuery, Databricks) 4. Problem-Solving & Mindset Strong analytical thinking and problem-solving skills Ability to break down complex problems into structured solutions Eagerness to learn and adapt in a fast-paced, technology-driven environment 5. Communication & Collaboration Good communication skills, with the ability to explain technical concepts clearly Team player with a proactive and ownership-driven attitude Ability to work with cross-functional teams (analytics, business stakeholders)
Business Reporting: assist business units in preparing management reports and dashboards, including monthly performance updates, league tables, and sustainability reporting
Conduct market, industry, and competitor research to assess market attractiveness, competitive positioning, key trends, and potential opportunities and risks.