Our client is a strong and stable financial services firm and aims to be the first provider of a smart beta indices platform to help investors understand and invest in advanced beta equity strategies. In addition, our client offers smart factor indices built within their in-house framework which distinguishes between stock selection and stock weighting to allow for explicit control of risk exposures.

Description

Key responsibilities include:

• Perform research and analysis on target sectors, activities and companies, with emphasis on climate scenario alignment and climate solutions;

• Contribute to identifying potential sources for data collection and put forward estimation strategies to address data gaps;

• Contribute to the design and/or implementation of structured and unstructured data acquisition processes and data processing models, and/or author/maintain related code;

• Build up and maintain data dictionaries and databases on environmental, social and governance (ESG) indicators;

• Design or implement processes to ensure the quality and integrity of data at the input and output stages, and/or author/maintain related code.

Profile

Successful candidate:

• Master of Science in environmental economics/finance, environmental/energy policy, corporate sustainability, economics, finance, management;

• Work experience as a researcher and/or data scientist, preferably in the financial industry;

• Familiarity with financial statements and data, and financial data platforms;

• Experience of climate scenarios and familiarity with climate portfolio alignment theories, metrics and challenges will be a plus

• Strong analytical and quantitative skills with ability to produce high-quality research and analysis;

• Statistical and coding skills (e.g. MATLAB, SQL, Python);

Job Offer

Remuneration will be in line with market. In addition, you will be able to rely on knowledge and experience from the wider leadership team here in Singapore.

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Shiya Guan on +65 6416 9859