Head, Data Management Office

Access Bank Plc is a financial institution with presence in 9 countries in Africa and the United Kingdom and in all major cities in Nigeria. Also referred to as the Africa’s Bank of Best Practice, Access Bank operates on a platform of strong ethics, governance and professionalism.
We are recruiting to fill the following positions below:

Bachelor’s Degree and Master’s Degree in Computer Science, Engineering, or related field
Practical experiences in Machine Learning, as well as NLP, Deep Learning (Tensor flow), Statistical Modelling, Quantitative Analysis, Forecasting, Data Visualization
Certifications such as Oracle Certified Master, Certified Data Scientist (The Open Group), Chartered Member and Fellow of the British Computer Society (BCS), and Chartered Member (CPC III) of the Computer Professionals Registration Council of Nigeria (CPN).
10 – 15 years of demonstrated experience in data management disciplines including data integration, modelling, optimization and/or data quality, 6 years of progressive leadership experience in leading cross-functional teams and enterprise-wide programs within complex contexts, preferably in the financial services industry
Board level experience of leading and delivering complex change and strategy development.
Required Knowledge, Skills and Abilities:

Knowledge and moderate proficiency in R, Python (scikit learn, pandas, numpy, Jupyter etc.) SAS, SQL, MATLAB, C/C++
Understanding of machine learning techniques and algorithms, such as Gradient Boosted Trees, CNN, RNN LSTM, etc.
Experience with data visualization tools ex Tableau, Shiny
Knowledge of the BI/DW lifecycle components including Source Data Analysis, ETL, ODS, Data Marts, and Data Mining.
Expertise with ETL applications like SSIS, Informatica, Data Stage, etc.
Results-oriented leader with a proven track record of leading a data transformation initiative.
Advanced knowledge and experience with best in class data strategy design.
Proven data literacy – ability to describe business use case/outcomes, data sources and management concepts.
Excellent verbal communication skills, including the abilities to explain digital concepts and technologies to business leaders, explain business concepts to technologists and “sell” ideas and processes internally at all levels.
Highly organized and experienced in leading/managing complex projects, initiatives and development
Advanced knowledge and practical application of advanced statistical analysis and mathematical modeling concepts and principles.
Data-oriented personality
Ability to manage multiple and competing priorities.