Latest Jobs at Stanbic IBTC

To direct preventative repairs and maintenance procedures and ensure buildings and equipment are well maintained and in optimal working condition.

Responsible for day-to-day operational activities in the assigned region.
To ensure that all operations are in accordance with established health, safety and environmental standards and regulations and that services purchased are of acceptable quality at the least possible cost.

Ensure high standards of customer service are maintained by the facilities team, addressing and resolving issues effectively. 

• Liaises with service providers on all premises maintenance issues and also ensuring the use of good quality materials, good finishing with prompt attention.
• Monitoring of all maintenance activities to ensure that they adhere to the service level Agreement and ensures the inspection of workmanship and materials as defined in the manuals.
• Implement and maintain safety protocols, conduct regular inspections, and ensure compliance with health, safety, and environmental regulation.
• To ensure that bank operations are in compliance with established procedures, policies, regulations and codes as it affect property maintenance.
• Coordinate the activities of all project stakeholders to ensure proper alignment with plans, processes and governance.

Qualifications

• BSc. in Estate/Facilities Management, Civil/Mechanical Engineering or other relevant disciplines.
• Professional Certification can be an added advantage.

Experience

• At least 5 years demonstrable experience in Facilities Management or Customer Service Management.

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To provide legal, regulatory, and transactional advice and support to the Investment Banking (IB), Client Coverage, Global Markets (GM) and Transaction Banking Business areas of Stanbic IBTC Bank PLC and Stanbic IBTC Capital Limited (together “Stanbic IBTC”), with the objective of assisting the business leaders of those businesses in achieving their business goals in a manner consistent with sound risk management.

Key responsibilities

• Comprehensive drafting and reviewing of all legal documentation including but not limited Loan Agreements, Term Sheets, facility offer letters, NDAs as well as the respective security and supporting documents.
• Comprehensive and satisfactory review and/or vetting of signed Legal Documentation and condition precedents to draw-down of loans/facilities to ensure full compliance with the terms of the Credit approval, except as may be expressly waived of deferred by the Credit team.
• Proactively identify legal risks within Stanbic IBTC Business area and legal environment and apprise line manager of any identified legal risk and proactively develop processes and procedures to manage, mitigate, monitor and/or report on those risks. 
• Resolving credit, legal and business concerns in a solution-orientated manner, which reflect an acceptable balance between the Bank’s commercial and legal interests.
• Preparation and revision of Bonds, Guarantees, SBLCs and other contingent liability instruments.
• Advising on Investment Banking Transactions including but not limited to Equity Capital Market (ECM), Debt Capital Market (DCM), Debt Financing and other corporate finance deals as may be required.
• Working closely with other CIB Lawyers to identify legal risks, providing actionable, solution-orientated advice to mitigate those risks, reporting incidents of non-compliance, and ensuring that risks are properly understood and mitigated.

Qualifications

• Bachelors-in-Law from a university (LLB) as well as the Nigerian Law School (B.L) required

Experience Required

• 8-10 years' experience in handling legal issues, relating with regulators and external solicitors.
• 8-10 years' experience in investment banking transactions and corporate finance deals will be an added advantage.

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To maintain, enhance, and govern enterprise metadata to support data discovery, lineage, governance, and analytics across the bank. The role ensures accurate and standardized metadata to enable trusted data usage, regulatory compliance, and improved data quality. Support the execution of Metadata strategies in line with Enterprise Metadata policies and frameworks to ensure data has context, is easily accessible, and there is high-quality and integrated metadata.

• Create, update, and maintain metadata within enterprise data catalog tools (e.g., Azure Purview / Microsoft Purview).
• Support automated and manual metadata ingestion processes.
• Develop and maintain end‑to‑end data lineage for critical data flows.
• Apply data classification rules based on sensitivity, privacy, and regulatory requirements.
• Implement data quality rules for metadata and report exceptions.
• Conduct periodic audits and integrity checks on metadata and data models to ensure adherence to defined rules and standards, identifying areas requiring remediation of non-compliant metadata and support corrective actions.

Qualifications

• Bachelor’s degree in information management, Computer Science, Data Science, Library Science, or related fields.
• Professional certifications in Data Governance, i.e. Certified Data Management Professional (CDMP), Certified Information Management Professional (CIMP) or related Data Management, or Azure Purview can be an advantage.

Experience:

• 3–6 years of experience in Metadata Management, Data Governance, or Data Management roles.
• Experience with metadata catalog tools (e.g., Microsoft Purview, Collibra, Informatica).
• Familiarity with data lineage, business glossary development, and data quality management.

Behavioural Competencies:

• Adopting Practical Approaches
• Examining Information
• Interpreting Data
• Providing Insights
• Showing Composure
• Taking Action

Technical Competencies:

• Business Acumen (Audit)
• Data Management (Administration)
• Evaluation of Internal Controls
• Information Security
• Process Governance
• Remedial Action Development

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To ensure effective oversight, governance, and compliance of data and AI assets across the enterprise. The role ensures adherence to data governance standards, AI governance principles, regulatory expectations, ethical AI guidelines, and responsible data usage. This includes maintaining data/AI policies, monitoring compliance, supporting AI governance forums, and collaborating with Data Owners, Stewards, and business stakeholders to ensure trust, transparency, and accountability in AI systems.

• Support the implementation of enterprise data governance frameworks, policies, and standards, ensuring alignment with enterprise data strategy, regulatory requirements, and ethical data use.
• Embed governance structures that not only ensure compliance but also enable innovation, analytics, and AI adoption.
• Coordinate AI risk assessments, model documentation reviews, and governance sign-offs.
• Track model lifecycle governance activities in alignment with Model Risk Management guidelines.
• Prepare periodic governance reports, dashboards, and compliance insights.
• Ensure proper documentation of data flows, AI systems, risks, and controls.

Qualifications

• BSc Information management, Computer Science, Data Science, Law, Risk Management, or related fields.
• Certifications in Data Governance, Privacy, Risk, or Responsible AI can be an added advantage.

Experience

• 3–6 years of experience in Data Governance, AI Governance, Compliance, Risk Management, or related functions.
• Experience working with data catalog, metadata, lineage, or data quality tools.
• Familiarity with AI governance frameworks, risk controls, and regulatory expectations.
• Experience collaborating with audit, risk, compliance, and technical teams.

Additional Information

Behavioural Competencies:

• Adopting Practical Approaches
• Examining Information
• Exploring Possibilities
• Interpreting Data
• Managing Tasks
• Taking Action

Technical Competencies:

• Data Architecture
• Data Integrity
• Data Management (Administration)
• Information Management

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Responsible for planning, management, and control of all financial and accounting activities within the technology department.

• Coordination of technology financial planning and budget management activities for the financial year including formulation of the technology budget for the next financial year.
• Creation, review and control of financial procedures and payment request forms (motivations); ensuring that each transaction and payment has the necessary approval and justification. Prompt payment to vendors.
• Provision of insights for decision-making to the technology Management Committee, Board Technology Committee and other governance committees via financial management reports.
• Investigation of discrepancies in General Ledger (GL) account postings on SAP finance and provision of responses to ad-hoc requests from several stakeholders on budget and finance-related issues.
• Preparation of monthly and year-end accruals while ensuring the report adequately captures the relevant outstanding payments in line with the organization’s accrual procedures.

Qualifications

• BSc Finance, Accounting or related field.
• Professional Certification in Financial management or relevant field can be an added advantage.

Experience

• 1-3years experience in cost management, financial reporting, financial analysis business management, project management, and procurement.
• 1-3years experience with Microsoft Office packages most especially Ms Excel, MS PowerPoint, Power Bi, Strong analytical, communication and presentation skills.

Behavioural Competencies:

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Things
• Documenting Facts
• Examining Information

Technical Competencies:

• Data Analysis
• Data Integrity
• Effective Design
• Quantitative Analysis
• Written Communication

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To ensure the seamless deployment, monitoring, automation, and lifecycle management of AI/ML systems across the enterprise. The role ensures robust MLOps and AIOps capabilities, supports Data Scientists in operationalizing models, manages production workloads including LLMs, RAG pipelines, and predictive models and ensures compliance with governance and regulatory requirements.

• Support execution of the bank’s Data Science & AI strategy through reliable ML/AI operationalization.
• Design, build, and maintain end-to-end MLOps/AIOps pipelines for scalable deployment and monitoring.
• Manage CI/CD pipelines for model deployment, automated testing, and infrastructure-as-code.
• Automate retraining, model evaluation, and drift detection processes.
• Monitor model performance, stability, latency, and data quality across production systems.
• Implement observability tools for logs, metrics, explainability, and failure recovery.

Qualifications

• Bachelor’s Degree in Computer Science, Engineering, Data Science, or related fields.
• Master’s Degree or certifications in Azure ML, AWS ML, Kubernetes, MLOps, DevOps, or Cloud Engineering can be an advantage.

Experience

• 4–6+ years in Machine Learning Engineering, MLOps, AIOps, or related roles.
• Experience supporting Data Scientists with model operationalization and deployment.
• Strong background managing production AI systems, including LLMs, RAG pipelines, and predictive models.
• Experience with Azure, Kubernetes, Docker, MLflow, Databricks, CI/CD, and model monitoring tools.

Behavioural Competencies:

• Adopting Practical Approaches
• Articulating Information
• Examining Information
• Exploring Possibilities
• Providing Insights
• Team Working

Technical Competencies:

• Data Analysis
• Database Administration
• Data Integrity
• Knowledge Classification

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Trade Specialist (Structured Trade & Commodity Finance) to harness and maximize existing and new business opportunities for Trade Finance in the Business and commercial Banking space for the country. To implement relevant Trade Finance strategy to enable Business and Commercial Banking to deliver the desired growth targets, and is accountable for the Business Banking Trade Finance product set as well as the notional Trade income statement. To drive and oversee Trade business within the Business and Commercial Banking category throughout the entire network of branches.

Qualifications

• Type of Qualification: First Degree
• Field of Study: Any field, a degree in Finance and Accounting will be an added advantage
• Other qualifications: Certification in Certificate For Documentary credit Specialist (CDCS), Certified International Trade Professional (CITFP), Certificate for International Trade (CITF), CFA Level 2 Candidate will be an added advantage

Experience Required

• Trade Finance- 3-4 years in Trade deal Structuring, Trade Advisory, Trade monitoring, Structured commodity finance origination, and monitoring
• Trade Sales- 1-2 years in Relationship management, trade revenue management
• Relationship Management- 3-4 years in Relationship management, Financial Analysis, Loan monitoring

Behavioural Competencies:

• Developing Strategies
• Articulating Information
• Conveying Self-Confidence
• Team Working
• Understanding People

Technical Competencies:

• Product Knowledge
• Business and commercial Bank Product
• Customer Understanding
• Financial Acumen