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)
AI & Machine Learning: support the development, testing, and enhancement of AI and machine learning models to address business and risk management challenges
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)