Junior Data Engineer
Experience Required
1+ years
Remote Work
Not Allowed
Stock Options
No
Vacancies
1 available
Experience Required
1+ years
Remote Work
Not Allowed
Stock Options
No
Vacancies
1 available
We are a Singapore FinTech company spun off from the National University of Singapore in 2017. We are a cohesive team comprised of 18 domain experts and talents.
We specialize in Deep Credit Analytical Technologies that have been developed from more than 10 years’ world-leading research achievements. Our technologies have been highly recognized by the global financial industry, e.g., the International Monetary Fund (IMF), the World Bank, and prominent financial institutions.
We productize and commercialize our proprietary, new-generation technologies to help financial institutions on Intelligent Transformation in credit risk and investment management. We provide a suite of analytical data & tools, and enterprise solutions to serve Banks, Insurance Companies, Asset Managers in the US, China, and Asia. We recently launched our wholly-owned subsidiary in Shanghai to facilitate our business development in China.
We are looking for a savvy Data Engineer to join our growing team of credit data & analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
The Data Engineer will support our credit analysts, analytics engineers, and software developers on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. He/she must be self-directed and comfortable supporting the data needs of products and projects. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
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