القائمة الرئيسية

الصفحات

 Data Scientist At CIB Bank 

Data Scientist At CIB Bank



 

Job Purpose


Employ various data science methodologies and execute the proper data pre-processing techniques to provide evidence based recommendations that support key stakeholders across the bank to make better-informed decisions.




Description


Data Science 


1. Analyze raw data, draw meaningful conclusions and generate effective recommendations


2. Research and implement new algorithms and analytical methods for solving novel business problems


3. Pre-process, manipulate, prepare and summarize data in a simple and concise format


4. Contribute in the execution and delivery of a consolidated analytics platform


5. Translate business problems from different departments into quantitative models and get them solved using the appropriate solution methods


Policies, Processes and Procedures


6. 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


7. Follow the day-to-day operations related to own jobs in the department to ensure continuity of work


Compliance


8. 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


 

Qualifications

 

Qualifications & Experience


• 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


• Experience in banking industry would be a plus


• Strong quantitative analytical capabilities combined with experience in dealing with large and/or complex data sets


• Combination of creative abilities and business knowledge


Skills


• Excellent verbal, written communication and presentation skills


• Solid programming skills in SQL, and “R”, “Matlab” or “Python” for statistical analysis and modelling purposes. 


• Good experience with query languages


• Basic knowledge of visualization tools (Tableau, Qlikview, etc. ...)


• Strong computational and critical thinking skills


• Excellent user of Microsoft Excel


• Working knowledge of any statistical modelling software (SAS, SPSS, …) is a plus


• Basic knowledge and hands-on experience in applied data mining and machine learning techniques: Predictive, Descriptive and Prescriptive


Primary Location: Egypt-Giza-SMART VILLAGE BLDG. 3

Work Locations: SMART VILLAGE BLDG. 3    

Job: Back Office

Organization: CEO AREA

Shift: Day Job

Job Type: Full-time Employee

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