Senior Data Analyst for Real Estate Investments
5 days ago
GIC Private Limited seeks a highly skilled Quantitative Strategist to join our Investment Insights Group (IIG) in Singapore.
As a leading global long-term investor, we invest in over 40 countries across various asset classes and businesses. Our real estate arm has one of the largest and broadest real estate portfolios amongst all institutions.
The successful candidate will play a crucial role in developing and implementing quantitative models and strategies to support our investment decisions. You will work closely with our investment teams to analyze large datasets, apply advanced statistical techniques, and leverage AI to uncover actionable insights that drive outstanding investment outcomes for GIC.
Your work will directly influence our investment strategies and help us stay ahead in a competitive market.
Responsibilities
- Partner with real estate investment teams to understand their data needs and provide quantitative support.
- Develop and implement quantitative models to analyze real estate market trends, property valuations, and investment opportunities.
- Utilize advanced statistical techniques, machine learning, and AI to extract insights from large and complex datasets.
- Create and maintain dashboards and reports to communicate findings and support decision-making processes.
- Collaborate with data engineers and IT teams to ensure data quality, integrity, and accessibility.
- Stay updated on the latest developments in quantitative finance, real estate markets, and AI technologies.
- Present findings and recommendations to senior management and stakeholders in a clear and concise manner.
Requirements
- An academic degree in fields such as Mathematics, Statistics, Computer Science, Engineering, Economics, and Finance with experience in a data-driven professional setting.
- Experience working with quantitative models, conducting model validation, and performing statistical analysis.
- Comfortable working with, and combining, disparate and diverse data sources.
- A strong intuition for analytical methodologies and desire to solve novel technical challenges.
- Proficiency in the following coding languages – Python, SQL.
- Positive work attitude, high energy candidates with drive and initiative.
- Eagerness to learn the RE investment process and willingness to learn other skillsets required for this role, as and when they are required.
- Ability to work effectively with different stakeholders and demonstrate maturity and integrity to interact confidently with senior colleagues.
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