Data Scientist at FNB South Africa

This role will be responsible for establishing a Data Management tactical strategy within a Data environment that supports this business area’s need for quality data that supports the channels innovative solutions.

Responsibilities

• Identify process improvements for Cost Saving, Revenue Generation or Efficiency improvements for the business.
• Expectation management at senior levels / stakeholder management.
• Develop objective working relationships with a variety of stakeholders, including end-users, SMEs, project managers and senior staff members by providing input to Business requirements.
• Partnering with Business to research information delivery methods / interfaces.
• ]Establish and manage a data Task Force with regular feedback / communication to Exco on progress and future pipeline of work.
• Develop and implement data Architecture and management Strategy for FNB Digital Banking.
• Apply IT Risk and Governance Standards for the data environment (SDLC, Change management, Incident management, Release management, etc.).
• Prioritisation of new requirements for data environment and Coordination of projects in conjunction with the project Office i.t.o scoping, planning, prioritising.
• Manages all aspects of the data sourcing, migration, quality, design, and implementation.
• Identifies new initiatives and/or recommendations for database growth and integration.
• Resource management conducts performance reviews and determines professional development and training opportunities for staff.
• Manage own development to increase own competencies.

Qualifications and Experience

• Strong technical background in development of data systems.
• Strong business, analytical and problem solving skills.
• Strong Operational experience in a technical environment.
• Extensive experience in Data Architecture and knowledge of the bank’s existing data landscape.
• A sound functional knowledge and experience in data systems development and operations.
• Relevant degree (Honours/Masters preferred in stats, mathematics, engineering, actuarial etc.)
• Python experience
• Banking/Financial Services highly advantageous
• 2 to 3 years experience as a statistician/data scientist/quantitative analyst
• 5 years total work experience (This is an intermediate role)
• Some software development experience
• Some business analytics exposure
• Computer Sciences/Statistics background
• Big data experience - beneficial