Head, Data Analytics at First Bank

Job Objectives

• To deliver data-led enterprise transformation through the development, operationalization, and utilization of advanced analytics capabilities across the Bank’s business operational areas.
• To build and lead a world class data science team within the Bank that delivers significant market competitive advantage

Duties & Responsibilities

• Responsible for the creation of new data sciences capabilities for the business by envisioning and executing strategies that will influence improvement of the business’s performance by enabling informed decision making
• Designs and launches innovative and complex analytic models, utilizing a blend of contemporary and traditional data mining techniques, which can be applied to both structured and unstructured data sets
• Proactively works with Chief Data Officer, various departmental heads and line executives across the business to provide advanced analytic data modeling systems
• Leads the development of big data capabilities and utilization as well as the coordination of cross-functional analytic initiatives
• Responsible for playing the role of leading innovation through data science within the business and, as such, defines how the business creates additional value through the utilization of its data assets and analytics
• Manages the junior data scientists and analytics associate and oversees all activities ensuring alignment with departmental and business-wide vision and strategies.
• Build the business’s data science talent needs through role definition, recruitment, and development of a team of data scientists that will jointly move the business’s agenda forward.
• Continuously improve the Bank’s data analysis model, creating industry-leading performance through the leveraging of new and creative data-sources, and employing cutting edge advanced analytics techniques
• Scopes, designs, and implements machine-learning models to support the business’s numerous initiatives and programs with a view of achieving overall objectives and targets
• Matches and optimizes algorithms that are fundamental to the business’s products/services identifying better matches that will ultimately improve the consumer experiences
• Tracks business’s performance against data analysis model and monitor trends in key business KPIs, providing valuable insights to relevant departments for overall business performance improvement
• Takes initiative and conducts exploratory data analyses and experimental designs, which will help the business to better understand trends and behavior within these markets and settle on the most suitable strategies to drive success and achievements of goals and targets
• Other duties as may be delegated by Chief Data Officer

Requirements
Education:

• Minimum of a Degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics or any other related quantitative field. Advanced Degree is an advantage

Experience:

• Minimum experience - 7 years as a data scientist

Key Competency Requirements
Knowledge:

• Role of data in financial services
• Machine learning algorithms and AI techniques
• Credit risk modeling techniques
• Banking Operations
• Banking services/products
• Use of Banking applications
• Risk management

Skills / Competencies:

• Possess vast experience and expertise with probability and statistics, inclusive of machine learning, experimental design, and optimization
• Excellent written and verbal communication skills
• Highly skilled in statistical and modeling packages such as R, visualization and other advanced analysis tools
• Expert in data management programming such as SQL, PL-SQL, and Python as well as being familiar win the workings of time-series analyses.
• Excellent innovative and problem solving skills
• Excellent people management skills
• Ability to handle multiple simultaneous tasks prioritize and meet tight deadlines, and demonstrate calmness in times of uncertainty and stress.

Reporting Relationships:

• Functionally reports to the CDO
• Administratively reports to the CDO
• Supervises: Junior Data Scientists And Analytics Associates