Jobs at Stanbic IBTC

Job Description

• Application Support - Responsible for the Support and Administration of the Bank Application (Finacle, Workflow & Reports) and Services (LINUX) used by the Finacle core support team for business continuity.
• Ensure smooth running of the core application systems through process issue resolutions and optimisation where required.
• Ensure that all work requests/incidents logged on IT Remedy are responded to and resolved within the agreed time frame.
• Also, ensure that calls are escalated and communicated to the required support area and user.
• ​​​Provide high-level competency with regards to application systems and platforms such as Finacle, Linux etc. 
• ​Ensure the duration and severity of service disruptions due to system downtime are minimized​​.
• ​​​Successful resolution of application and system environment issues  
• ​Reduced number of incidents 
• ​In depth post-mortem analysis after downtimes for prevention of further incidents​​.
• ​​​Reduced number of incidents 
• ​Dialogue and engagements with stakeholders, SMEs and vendors for problem resolution, development efforts and business requirements.
• ​​Resolution of user-reported application-related issues 
• ​Reduced number of incidents 
• ​Deployment of applications patches (custom and product) 

Qualifications

• BSc in IT, Computer Sciences​ or related field
• Oracle SQL, T-SQL and PLSQL, Unix/Linux Administration, Python, Backup & restore operations, batch Scripting, scripting and automation, Windows server administration.

Experience:

• 3-5years experience in technical support and management of Core and Peripheral Applications,
• Effective communication of technical development requirements and stages with stakeholders, Use of Agile frameworks to support software integration and implementation, resolution of product design and implementation to meet business goals.
• 3-5 years Knowledge of Banking Products and Systems. Knowledge of Windows Operating system and related software.

Additional Information:
Behavioural Competencies:

• Adopting Practical Approaches
• Establishing Rapport
• Examining Information
• Exploring Possibilities
• Generating Ideas
• Interacting with People
• Interpreting Data.

Technical Competencies:

• Application Knowledge for Support
• Capacity Management
• Database Administration
• License Management
• Service Level Management
• Service Management Processes.

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Job Description

• To take a strategic approach to develop business opportunities within the Specialised Sectors, North portfolio.
• The Manager, Specialised Sectors North will map out opportunities, formulate strategies and track strategy execution in the North.
• This role requires gravitas and adaptability to be able to engage at all levels within organizations from the executive leadership level to the lowest level.

Qualifications

• First degree in any field.
• Minimum of 5-10 years’ experience in the banking industry
• Prior experience in business development, sales and/or operations and a track record of achieving sales targets
• Experience within the financial industry with experience in managing small businesses.

Additional Information:
Behavioural Competencies:

• Documenting Facts
• Establishing Rapport
• Generating Ideas
• Examining Information
• Team Working.

Technical Competencies:

• Business Analysis Planning & Monitoring
• Requirements Elicitation
• Requirements Management & Communication
• Requirements Analysis
• Solution Assessment & Validation.

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Job Description

• To manage, optimize value and drive profitability from a portfolio of Enterprise Banking customers

Qualifications

• First degree in any field.
• Minimum of 3 - 6 years’ experience
• Cognate experience in sales and relationship management of customers to be able to drive profitability and build relationships
• Experience within the financial industry with experience in managing small businesses.

Additional Information:
Behavioural Competencies:

• Generating Ideas
• Developing Strategies
• Interpreting Data
• Convincing People
• Team Working.

Technical Competencies:

• Customer Understanding
• Product Knowledge
• Application and Submission Verification
• Account opening and maintenance
• Product Related Systems.

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Slot: 5

Job Description

• Responsible for leading a team of facilities staff, overseeing daily operations, and ensuring the smooth functioning of all facilities. Implement and maintain safety protocols, conduct regular inspections, and ensure compliance with health, safety, and environmental regulation.
• May be involved in smaller projects, renovations, or relocations, ensuring timely and within-budget completion.
• 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.
• Ensures that all buildings, grounds, and equipment are well maintained and in optimal working Condition.
• Ensures that services purchased are of acceptable quality in compliance with procurement policy.
• Liaising with the BSM and Asset Custodian in scheduling of time for the supervision and planned preventive maintenance activity.
• Responsible for resource management for branches within the regions.
• To ensure that bank operations are in compliance with established procedures, policies, regulations and codes as it affect property maintenance.

Qualifications

• Bachelor’s degree in Estate/Facilities Management, Civil/Mechanical Engineering or other relevant disciplines.
• Additional qualifications like relevant Master's degree and professional certifications can be an added advantage.

Experience:

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

Additional Information:
Behavioural Competencies:

• Making Decisions
• Empowering Individuals
• Upholding Standards
• Directing People.

Technical Competencies:

• Risk Management
• Coaching and Mentoring
• Real Estate Industry Regulatory Framework.

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Job Description

• Responsible for guiding a team to successfully complete projects within established scope, time, and budget constraints.
• Defining project scope, setting timelines, and creating budgets.
• To monitor and support the Project management aspect during the construction of bank buildings and ATM deployments.
• Facilitate the seamless handover of completed structures to the end user units.
• The job entails extensive travel to support, guide and facilitate the Bank’s property network expansion plan.
• Planning, organizing, and motivating team members, as well as managing resources, tracking progress, and communicating with stakeholders in ensuring smooth delivery of projects.
• Ability to plan, initiate, execute, control and close projects related to the construction of bank buildings and ATM deployments.
• The ability to compile documents, schedule meetings, update project plans, coordinate feedback and organize project related records.
• The ability to create financial reports as well as execute financial entries to monitor project financial progress and performance.
• Negotiating and documenting the timelines, cost and resources based on a specific scope.
• Supporting the process of defining the exact outcomes that projects are meant to achieve
• Defining the resource requirements for projects in terms of people, financials, systems and time.
• Knowledge and skills to produce project status reports including progress, risks, issues, resource allocation and benefits realization.
• Maintaining key elements of project plans, resources, demand plans, work breakdown and progress on a project management system.
• Focusing attention and efforts on understanding business requirements and proactively addressing different requirements and needs. Makes organizational changes or innovates when needed to address business needs.
• Ability to manage contractual obligations in order to deliver the objectives required in the contract.
• Ability to implement operational techniques and activities that are used to fulfil requirements for quality including; improvement, control, management or assurance of quality.

Qualifications

• BSc in Engineering/Project Management/Architecture/ Building Construction
• Additional qualifications like relevant Master's degree and professional certifications can be an added advantage.

Experience:

• A minimum of 7 years real estate experience

Additional Information:
Behavioural Competencies:

• Making Decisions
• Empowering Individuals
• Upholding Standards
• Directing People
• Interacting with People.

Technical Competencies:

• Risk Management
• Coaching and Mentoring
• Real Estate Industry Regulatory Framework.

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Job Description

• The Machine Learning / AI Operations Engineer is responsible for ensuring 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.
• Work with IT, Data Engineering, and Architecture to align ML/AI infrastructure with enterprise standards.
• Manage CI/CD pipelines for model deployment, automated testing, and infrastructure-as-code.
• Monitor model performance, stability, latency, and data quality across production systems.
• Ensure all deployed AI/ML models comply with Model Risk Management guidelines and regulatory expectations.
• Evaluate and integrate emerging MLOps/AIOps tools and capabilities.
• Lead PoCs and pilot initiatives focused on scalable AI automation.

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 are 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.

Additional Information:
Behavioural Competencies:

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Developing Expertise
• Documenting Facts
• Embracing Change
• Interpreting Data
• Managing Tasks.

Technical Competencies:

• Big Data Frameworks and Tools
• Data Engineering
• Data Integrity
• IT Knowledge
• Stakeholder Management (IT).

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Job Description

• The Data Scientist will drive the design, development, adoption, and deployment of advanced analytics and AI solutions across all business units in the bank.
• The role will be responsible for collaborating with a team of data scientists in developing AI/ML models at scale, ensuring model governance and regulatory compliance, and supporting business units to embed AI into products, processes, and decision-making.
• The ideal candidate is both a strong technical leader and a strategic business partner.
• Support the development and execution of the bank’s Data Science & AI strategy in alignment with strategic business goals.
• Coordinate a team of data scientists and machine learning/AI developers in driving AI implementation across business and operations..
• Collaborate with senior business leaders to identify high-impact and emerging AI opportunities to gain a competitive edge.
• Oversee end-to-end delivery of machine learning models: data sourcing, feature engineering, model development, evaluation, deployment, and monitoring.
• Work closely with Data Engineering to ensure high-quality datasets for modeling.
• Ensure all models comply with internal model risk guidelines, CBN requirements, and global best practices.
• Stay updated with global AI trends, tools, and frameworks (GenAI, LLMs, RAG, agents, reinforcement learning).
• Lead Proof of Concept (PoC) and pilot initiatives for new AI capabilities.

Qualifications

• Bachelor’s Degree in Computer Science, Statistics, Mathematics, Engineering, or related field.
• Master’s Degree and/or professional certifications (e.g., Azure ML, AWS ML, TensorFlow, Databricks, SAS, Agent orchestration, Microsoft Fabrics) can be an advantage.

Experience:

• 6–8 years of experience in Data Science, Artificial Intelligence, or Machine Learning.
• Minimum 3 years in a senior technical role.
• Experience in banking or financial services is strongly preferred.
• Proven track record of training and deploying ML and AI models to production at scale.
• Demonstrated experience with cloud platforms (particularly Microsoft Azure) and modern ML/AI tooling.

Additional Information:
Behavioural Competencies:

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Developing Expertise
• Documenting Facts
• Embracing Change
• Interpreting Data
• Managing Tasks.

Technical Competencies:

• Big Data Frameworks and Tools
• Data Engineering
• Data Integrity
• IT Knowledge
• Stakeholder Management (IT).

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Job Description

• The Data/AI Governance Officer is responsible for ensuring 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.
• Work with Data Owners and Data Stewards to enforce data quality, lineage, classification, and access controls.
• Support the Data Steward community by ensuring alignment on data quality and defined data quality metrics.  Assist with the definition of test cases for data to be executed as part of CTB (change the bank) data requests arising from the labs.
• Support the development and operationalization of Responsible AI frameworks across the organization.
• Monitor AI model compliance with fairness, transparency, explainability, and ethical standards.
• Maintain data and AI governance policies, standards, and procedures.
• Support Data/AI Governance Councils and Working Groups.
• Maintain AI model inventories, data governance registers, and asset catalogues.
• Prepare periodic governance reports, dashboards, and compliance insights.

Qualifications

• Bachelor’s degree in information management, Computer Science, Data Science, Law, Risk Management, or related fields.
• Certifications in Data Governance, Privacy, Risk, or Responsible AI are 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
• Articulating Information
• Challenging Ideas
• Developing Expertise
• Documenting Facts
• Embracing Change
• Interpreting Data
• Managing Tasks.

Technical Competencies:

• Big Data Frameworks and Tools
• Data Engineering
• Data Integrity
• IT Knowledge
• Stakeholder Management (IT).

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Job Description

• The Metadata Specialist is responsible for maintaining, enhancing, and governing enterprise metadata to support data discovery, lineage, governance, and analytics across the bank.
• The role ensures accurate and standardised 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.
• Maintain enterprise metadata standards, definitions, and business glossaries.
• Ensure compliance with data governance policies and regulatory requirements.
• Create, update, and maintain metadata within enterprise data catalog tools (e.g., Azure Purview / Microsoft Purview).
• Support automated and manual metadata ingestion processes.
• Document system, technical, and business metadata for structured and unstructured data assets.
• Ensure that metadata updates are in line with the governance processes defined by the owners / stewards of the data.  Gives input into possible data element governance violations in order that the appropriate governance structure is advised.
• Support the adoption of AI-powered tools to automate metadata capture, classification, and enrichment, reducing manual effort and improving accuracy. Contribute to the development of sematic models, ontologies and knowledge graphs to enable advanced data discovery, lineage tracking and AI explainability.
• Develop and maintain end‑to‑end data lineage for critical data flows.
• Apply data classification rules based on sensitivity, privacy, and regulatory requirements.

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.

Additional Information:
Behavioural Competencies:

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Developing Expertise
• Documenting Facts
• Embracing Change
• Interpreting Data
• Managing Tasks.

Technical Competencies:

• Big Data Frameworks and Tools
• Data Engineering
• Data Integrity
• IT Knowledge
• Stakeholder Management (IT).