Legal & Compliance - Data Analytics Associate

Established in 1912, Bank of China is one of the largest banks in the world, with over $3 trillion in assets and a footprint that spans more than 60 countries and regions. Our long-term outlook, institutional weight and global breadth provide our clients with a stable and reliable financial partner, whether in Corporate or Personal Banking or our Trade Services, Commodities, Financial Institutions and Global Markets lines of business.

The incumbent supports team with data analysis, tool development as well as operational tasks. S/he is also responsible for gathering requirements from business teams and delivering complete solutions and products.

Include but are not limited to:

Data Analysis & Business Intelligence

• Conduct financial and transaction data analysis to form conclusive and supportive summary for further decision making
• Decompose and deconstruct raw literal materials/documents and apply sophisticated analysis to draw constructive insights for reporting or submission
• Examine, inspect, review and verify data from a broad range and contribute prominently to maintaining a slap-up quality level of the data security and accuracy
• Elucidate, reveal and interpret the connotations of data and conclusions of analysis by terser and user-friendly visualization

Development

• Promote the efficiency and raise the quality of the Compliance duty by implementing tools to automate the process
• Robotize the reporting procedures to save manpower and reduce human error
• Support and participate in the Compliance system implementation

Operation

• Keep in touch with business team and provide day-to-day technique support for various operational tasks
• Other team administrative matters

• Bachelor’s degree in Data Analytics, Computer Science, Statistics, Engineering, or other related quantitative discipline, Master's Degree is preferred
• 1 year of work experience in data analytics

• Experience in database management languages (SQL preferred)

• Experience in analytical tools (e.g. Python, R)

• Proficient in Microsoft Access and Excel

• Ability to interpret data, analyze large datasets and succinctly present conclusions