Team Lead - Data Visualization, Risk Management at Access Bank

eam Lead – Data Visualisation is responsible for designing, developing, and maintaining Enterprise Risk Management dashboards and data pipelines for the Bank. The role requires advanced expertise in Power BI, data modelling, and analytics, with a strong understanding of banking risk domains. The Specialist will transform complex datasets into actionable insights to support senior management decision-making, enhance regulatory compliance, and strengthen the Bank’s risk management framework.

Functions and Responsibilities

 Dashboards Development & Maintenance

• Design, build, and enhance Power BI dashboards for Enterprise Risk Management (ERM) across various risk categories.
• Implement role-based access control and ensure dashboards comply with the Bank’s Access Control Framework and data security policies.
• Develop interactive reports with drill-down, filters, and dynamic visuals to support decision-making.

Data Engineering & Integration

• Build and maintain ETL/ELT data pipelines from internal and external data sources.
• Develop data models optimized for performance and scalability.
• Collaborate with IT and Risk Analytics teams to ensure data quality, consistency, and timeliness. 

 Data Science & Analytics

• Apply statistical models and machine learning techniques to identify risk trends and anomalies.
• Support predictive analytics for credit default, fraud detection, and operational incidents.
• Automate recurring analysis and reporting processes.

 Monitoring & Governance

• Implement dashboard performance monitoring and troubleshoot issues proactively.
• Ensure compliance with internal policies, regulatory guidelines, and Basel standards.
• Maintain version control, documentation, and data lineage tracking for all dashboards.

Collaboration & Stakeholder Engagement

• Work closely with Risk Management, Finance, Compliance, and IT teams.
• Gather requirements from business stakeholders and translate them into technical solutions.
• Train and mentor team members on Power BI and analytics best practices.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or related field.
• 3–5 years of professional experience in Data Science, and/or Data Engineering roles.

Preferred Certifications

• Microsoft Certified: Data Analyst Associate (Power BI)
• Microsoft Certified: Azure Data Engineer Associate
• Professional certifications in Risk (FRM, PRM) – desirable but not mandatory.

Skills / Competence Requirements

• Proven expertise in Power BI (DAX, Power Query, Row-Level Security, workspace management).
• Strong knowledge of SQL and data warehousing concepts.
• Experience with Python or R for analytics and modelling.
• Familiarity with Azure Data Platform (Data Factory, Synapse, Databricks) is an advantage.
• Knowledge of banking risk management concepts (credit, liquidity, market, operational, reputational risk etc.).
• Strong analytical and problem-solving skills with attention to detail.
• General managerial/ administration
• Team building/conflict management
• Coaching
• Leadership
• Organization and coordination skills
• Analytical Skills
• Strategic Orientation
• Communication
• Conflict Management