Job Description
Key Responsibilities
- Extending company’s data with third party sources of information when needed.
- Processing, cleansing, and verifying the integrity of data used for analysis.
- Develop, construct, test and maintain architectures (such as database and large-scale processing systems)
- Ensure architecture will support the requirements of the business.
- Discover opportunities for data acquisition.
- Develop data set processes for data modelling, mining, and production.
- Employ a variety of languages and tools (e.g., scripting languages) to marry systems together
- Recommend ways to improve data reliability, efficiency, and quality.
- Perform other duties as assigned by the Unit Head, Data Engineering.
Qualifications & Experience
- Strong STEM background - Bachelor's Degree as well as practical experiences in Machine Learning, NLP, Deep Learning (Tensor flow), Statistical Modelling, Quantitative Analysis, Forecasting, Data Visualization.
- 6-8 years working experience as a data engineer or business data analyst, preferably in the financial services industry.
- Relevant professional qualifications
- Master’s Degree in relevant.