Team Lead, Data Science at Access Bank

• Provides balanced analytical research by turning raw data into valuable insights that help to drive the Bank’s actions and strategies.
• Interprets and analyses data from multiple sources to come up with imaginative solutions to problems.

Key Responsibilities

• Develop programming in Python, SAS, SQL or similar analytical development tools
• Maintain knowledge in statistics, mathematics and/or comparable quantitative area of expertise
• Responsible for collaborating with analysts to facilitate the development and application of advanced analytic strategies and tactics
• Ascertain and apply strategies to identified business problems and existing organizational processes in order to provide leaders with insightful resources for decision-making and to increase sales, profit, market share, and achieve enterprise goals
• Establish parameters of ad hoc analyses by setting appropriate timeline and work quality guidelines
• Develop timely, innovative, and objective analysis which leads to fact-based solutions for strategic business issues
• Assist in the development of the problem definition and hypothesis formulation process as it relates to the specific business environment
• Conduct analyses, formulate insights, and summarize and synthesize findings for presentation to line of business management
• Maintain an understanding of general business trends and requirements for the major area of support, and understand the link between analysis and business impact
• Utilize Python, SAS, SQL, Power BI or other analytical development tools with large data sets to design analyses and measure key metrics
• Facilitate development and application of advanced analytic strategies and tactics
• Support line of business analytical needs with dashboard/report development through Tableau and SAP BO

Requirements

Required Knowledge, Skills and Abilities: 

• Understanding of machine learning techniques and algorithms, such as Gradient Boosted Trees, CNN, RNN LSTM, etc.
• Knowledge and moderate proficiency in R, Python (scikit learn, pandas, numpy, Jupyter etc.) SAS, SQL, MATLAB, C/C++
• Experience with data visualization tools ex Power BI, Matplotlib and Seaborn
• Excellent communication and presentation skills
• Highly organized and experienced in leading/managing complex projects, initiatives and development
• This is an Individual Contributor role.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Data-oriented personality
• Ability to manage multiple and competing priorities

Qualification & Experience

Mandatory

• Bachelor’s degree and Master's Degree in computer science, Engineering, or related field
• Practical experiences in Machine Learning, NLP, Deep Learning (Tensor flow), Statistical Modelling, Quantitative Analysis, Forecasting, Data Visualization.
• 10 + years working experience as a data scientist or business data analyst, preferably in the financial services industry with at least 2 years of leadership experience.
• Must possess relevant professional qualifications.

Desirable

• Experience supporting large-scale or highly regulated financial institution