DATA SCIENTIST

Commercial International Bank

JOB PURPOSE

To make the best use of the data within the bank by employing various data science methodologies and machine learning techniques to provide data-driven recommendations that support key stakeholders across the bank to make better-informed decisions and bring value to the bank

KEY ACCOUNTABILITIES

Roles and Responsibilities

1. Analyze and interpret business problems from different departments into well-defined data science initiatives

2. Build and validate data modelling hypothesis for the various analytics initiatives

3. Gather, validate, process, prepare and explore data in order to find hidden insights and patterns

4. Analyse and interpret data patterns to extract knowledge, generate effective recommendations and create value

5. Apply knowledge in statistics and data-mining to see beyond the numbers and understand how customers interact with bank s products and services

6. Research and build data science and machine learning algorithms to solve various business problems

7. Effectively communicate results, insights and data-driven recommendations to stakeholders and executive leadership

Policies, Processes and Procedures

8. 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

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

Compliance

10. Comply with all relevant CBE regulations, banking laws, AML regulations and internal CIB policies and code of 

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

Analyst: 2 - 4 years of previous work experience

Specialist: 0 - 2 years of previous work experience

Experience in data science or advanced analytics related jobs would be a plus

Experience in banking industry would be a plus

Skills

Excellent verbal, written communication and presentation skills

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

Basic knowledge and hands-on experience in applied data mining and machine learning techniques is a plus

Knowledge of visualization tools (Tableau, etc...) is a plus