Afreximbank: Manager, Information Technology (Data Scientist/Architect) at CA Global

Reference Number: DSBLR2
Responsibilities

• The Data Scientist/Architect will support our business departments teams with insights gained from building analytical models and analysing company data.
• Use predictive/prescriptive modelling to increase and optimize customer experiences, revenue generation, process efficiency, brand management and other business outcomes.
• Perform analysis to assess quality and meaning of data.
• Design and develop dashboards/reports for business management stating trends, patterns, and predictions using relevant data.
• Build and maintain Business Glossary
• Build and maintain data lineage and transformation processes.
• Build and maintain high-level Data Dictionaries for all core systems.
• Coordinate Data Stewardship activities
• Maintain data and data marts in the Data Lake/Warehouse
• Define data standards and models for warehouse architectures.
• Champion organisational change management activities in relation to data science and data analytics
• Provide solutions and systems architectural work as a data design consultant.
• Identify data discrepancies and data quality issues, and work with Data Stewards to ensure data consistency, enrichment, and integrity.
• Coach, mentor, motivate, and supervise Data Stewards and contractors, and influence them to take positive action and accountability for their assigned work and compliance to the Bank’s data management framework.
• Provide subject matter expertise on data architecture and data engineering.
• Stay abreast of emerging data management techniques and proactively provide recommendations for improvement.
• Any other duties as may be assigned by management.

Requirements

• A Master’s degree or PHD in Statistics, Mathematics, Computer Science, or other quantitative fields.
• Possess one or more recognised Data Science/Management qualification/certification.
• 5 or more years direct work experience as a Data Scientist/Architect including all aspects of process development and execution.
• Experience using statistical computer languages (SAS, R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Strong familiarity with data management software and tools
• Experience with diverse types of database platforms, including No-SQL databases.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
• Hands-on experience with data architecting, data mining, large-scale data modelling, and business requirements gathering/analysis.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Coding knowledge and experience with relevant languages: C, C++, Java, JavaScript, SQL, Python/R
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience querying databases and using statistical computer languages.
• Experience using web services: Redshift, S3, Spark, etc.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics, AdWords, Facebook Insights, etc.
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.
• Experience visualizing/presenting data for stakeholders using: Kibana, NiFi, Grafana, QlikView, Tableau, Business Objects, Snowflake, etc.
• Good judgment and the ability to handle stressful situations.
• Strong analytical and critical thinking skills
• Ability to communicate and function in a culturally diverse and change oriented setting.
• Excellent verbal and written communication skills in English. Knowledge of the Bank's other working languages is an added advantage.
• Willingness to travel and to work long hours where required to achieve the Bank's objectives.