Job Details
Skills And Tools:
Job Description
Data Science:
- Analyze raw data, draw meaningful conclusions and generate effective recommendations
- Research and implement new algorithms and analytical methods for solving novel business problems
- Pre-process, manipulate, prepare and summarize data in a simple and concise format
- Contribute in the execution and delivery of a consolidated analytics platform
- Translate business problems from different departments into quantitative models and get them solved using the appropriate solution methods
Policies, Processes and Procedures:
- Follow all relevant department policies, processes, standard operating procedures and instructions so that work is carried out in a controlled and consistent manner
Day-to-day management:
- Follow the day-to-day operations related to own jobs in the department to ensure continuity of work
Compliance:
- Comply with all relevant CBE regulations, banking laws, AML regulations and internal CIB policies and code of conduct in order to maintain CIB’s sound legal position and mitigate any potential risks
Job Requirements
Qualifications
Qualifications & Experience
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University degree with strong academic performance in a quantitative field (Statistics, Mathematics, Operations Research, Industrial Engineering or Business Informatics) and 1 - 3 years previous work experience in data science or advanced analytics related jobs
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Experience in banking industry would be a plus
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Strong quantitative analytical capabilities combined with experience in dealing with large and/or complex data sets
- Combination of creative abilities and business knowledge
Skills
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Excellent verbal, written communication and presentation skills
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Solid programming skills for statistical analysis and modelling purposes. Preferred “R”, “Matlab” or “Python”
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Good experience with query languages
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Basic knowledge of visualization tools (Tableau, Qlikview, etc. ...)
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Strong computational and critical thinking skills
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Excellent user of Microsoft Excel
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Working knowledge of any statistical modelling software (SAS, SPSS, …) is a plus
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Basic knowledge and hands-on experience in applied data mining and machine learni
