Stanbic IBTC Holdings PLC is a full service financial services group with a clear focus on three main business pillars - Corporate and Investment Banking, Personal and Business Banking and Wealth Management. Stanbic IBTC Bank legally became part of Standard Bank Group 24th August 2007. The Standard Bank Group merged its Nigerian operations, Stanbic Bank Nigeria with that of IBTC Chartered Bank PLC. Stanbic IBTC Bank is a major financial service provider engaged in personal banking, business banking, credit cards, corporate banking, non-interest banking and wealth and investment banking in Nigeria. We offer all our clients a wide range of personal & commercial banking products through over 180 branches spread across every state in Nigeria and our online banking platforms. We offer current, savings, and domiciliary accounts; personal loans, vehicle and asset finance; MasterCard debit cards, Visa credit cards; home loans; internet banking; small and medium scale enterprise (SME) loans and the award-winning *909# MobileMoney. We cater for both individuals and businesses through carefully designed retail and business banking products. We also offer self-service channels powered by sophisticated technology to bring convenient banking to customers. Our clients can also get custodial services through Stanbic Nominees Nigeria Limited, our custody arm and non-pension asset custodian, acting in a nominee capacity for clients’ transactions in securities and other investments. We are a key player in financial inclusion and are poised to take banking to the doorsteps of our customers; taking care of the banking needs of different categories of persons and businesses.
To 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.
- Oversee end-to-end delivery of machine learning models: data sourcing, feature engineering, model development, evaluation, deployment, and monitoring.
- Develop predictive, prescriptive, and generative AI models for use cases such as credit scoring, fraud detection, personalisation, chatbot agents, agentic AI for payment and process improvements, etc.
- Define and implement scalable MLOps and AIOps pipelines for model deployment, monitoring, and lifecycle management.
- Lead Proof of Concept (PoC) and pilot initiatives for new AI capabilities.
Qualifications
- BSc 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 added advantage.
Experience
- 5-6 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.
- Demonstrated experience with cloud platforms (particularly Microsoft Azure) and modern ML/AI tooling.
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)
Method of Application
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