You will apply data mining techniques and conduct statistical analysis on large, structured and unstructured data sets to understand and analyze phenomena. You will model complex business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualization techniques to make sound business decisions.
Degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field.
Working experience in the finance industry via direct employment or consultancy is preferred
1-3 years’ experience in working with structured and unstructured data (e.g. Streams, images)
Understanding of data flows, data architecture, ETL and processing of structured and unstructured data.
Experience with common data science toolkits.
Experience with data visualization tools, such as Power BI, Tableau, etc.
Proficiency in application and web development.
Structured and Unstructured Query languages e.g. SQL, Power BI; QlikView; Tableau, R, Python, JSON, Java, HTML
Experience with the use of GIT
Competent in Machine Learning programming in Python
Supplementary still in Java, etc.
Familiar with the Hadoop distributed computational platform, including broader ecosystem of tools such as HDFS / Spark / Kafka
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