Conduct research in one or more asset classes to understand how various sustainability themes impact their risk/return drivers in different markets. Derive insights/alpha through quantitative methods and communicate the findings to key stakeholders.
Develop and maintain robust quantitative models to support market monitoring, idea generation, backtesting and total portfolio management. This include data sourcing internally and externally, cleaning and preparing the required underlying data in a systematic fashion.
Build out next generation sustainability investment analytics capability to promote efficiency in supporting senior management and for wider usage among various investment teams within GIC.
Conduct detailed analysis on business requirements and develop solutions to enhance or add new analytical capabilities whilst ensuring quick time-to-market and code reusability.
Build close partnership and actively collaborate with asset class specialist for the furtherance of sustainability investment analytics.
What makes a successful candidate
Bachelor or Master's degree in quantitative discipline like Economics, Statistics, Engineering, Mathematics and Computer Science
3 - 7 years relevant experience in Sustainability application for investing, Financial Modelling or Quant Research role
In depth data knowledge of sustainability datasets used for insights generation and total portfolio management
Knowledge and practical application of Machine Learning and Quantitative methods.
Proficiency in the following programming languages - R, Python, SQL.