Job responsibilities: Statistical analysis of financial data (client/product/trade datasets) Working with business analysts to define and gather data requirements Sourcing and joining data from multiple sources Automation of routine analysis and regulatory reporting requirements Communicating technical results to a non-technical audience Preparing documentation to explain data transformation steps Ad-hoc data souring/analysis as and when the client requests Job Requirements: University degree (obtained or to be obtained in the upcoming year) in computer science, mathematics, engineering or other quantitative subjects Understanding of relational database management tools, in particular; SQL, Kdb Advanced knowledge of Microsoft Excel (basic knowledge of VBA is a bonus) Data manipulation skills; cleansing, enriching and linking datasets Demonstrable interest in data analysis e.g. participation in online competitions, independent research etc Experience in data mapping/data modelling Entrepreneurial spirit, personal and professional integrity with a strong desire to succeed A team player with good interpersonal and communication skills Fluent English and ideally Cantonese/Mandarin Technical skills (optional): Working knowledge of Python libraries such as matplotlib, pandas and numpy would be advantageous Experience with data visualisation tools Qlikview, Tableau, matplotlib Experience with Agile technologies (JIRA) and version control software (Git / Subversion) Familiarity with big data tools such as Cassandra, Hadoop (Pig, Hive, Impala), Spark, MongoDB
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Cantonese Jobs
