SeniorFull TimeEN
KEY ACCOUNTABILITIES
Roles and Responsibilities
1. Act as a technical supervisor and coach for junior team members (Data Scientists)
2. Manage and support project pipeline and delivery for own projects and junior team members’ projects.
3. Initiate and drive Data Science projects to completion with minimal guidance
4. Translate business problems from different departments into well-defined data science initiatives
5. Build and validate data modelling hypothesis for advanced data science initiatives
6. Gather, validate, process, prepare and explore data in order to find hidden insights and patterns
7. Analyse data patterns to extract knowledge, generate effective recommendations for advanced data science and machine problems
8. Apply advanced knowledge in statistics and data-mining to see beyond the numbers and understand how customers interact with bank’s products and services
9. Research and build complex data science and machine learning algorithms to solve various business problems
10. Work closely with stakeholders and executive leadership to communicate modelling results, insights and data-driven business recommendations
Policies, Processes and Procedures
11. 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 Operations
12. Follow the day-to-day operations related to own jobs in the Analytics & Data Management department to ensure continuity of work
Compliance
13. 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, EXPERIENCE, & SKILLS
Qualifications & Experience
§ Bachelor’s Degree with strong academic performance in a quantitative field (Computer Science, Statistics/Mathematics, Actuarial Science, Operations Research, Industrial Engineering…etc.)
§ Master's Degree in a quantitative or business field is a plus
§ 2-5 years of previous work experience in data science or advanced analytics related jobs
§ Prior formal or informal leadership experience is preferred
§ Experience in banking industry would be a plus
Skills
§ Excellent verbal, written communication and presentation skills
§ Good leadership and project management skills with experience in leading large projects
§ Ability to present complex issues clearly, both verbal and written, is essential
§ Solid programming skills for statistical analysis and modelling purposes (R or Python are preferred)
§ Strong quantitative analytical capabilities combined with experience in dealing with large and/or complex data sets
§ Good experience with query languages (SQL)
§ Attention to detail, strong computational and critical thinking skills
§ Excellent user of Microsoft Excel
§ Combination of creative abilities and business knowledge
§ Good knowledge and hands-on experience in applied data mining and machine learning techniques
§ Knowledge of visualization tools (Tableau, etc...) is a plus
