- Job Title: Unit Head – Data Visualization, Risk Management
- Location: Lagos
- Job type: Full-time (On-site)
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About Access Bank Plc
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.
Description
- Unit Head – 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.
- A relevant Master’s degree will be an added advantage
- Minimum of 10 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.
Application Closing Date
26th October, 2025; 11:59 PM.
How to Apply
Interested and qualified candidates should click on ‘Apply Here’ below.