Latest Jobs at Access Bank

• Provide leadership and coaching for technical writers and acts as the single point of accountability for documentation quality across initiatives.
• Ensure documentation quality, consistency, compliance, and alignment with business objectives, delivery methodologies, and regulatory standards.
• Act as the documentation authority bridging Business, IT Delivery, Architecture, QA, Risk, and Compliance to ensure that all deliverables are well-articulated, auditable, reusable, and fit for purpose.

Key Responsibilities

• Define, own, and continuously enhance the technical documentation framework across IT programs, aligned with SDLC, Agile, and hybrid delivery models.
• Establish and enforce documentation standards, templates, style guides, and version control practices across the Digital Transformation & Projects unit.
• Ensure all project documentation complies with internal governance, audit, and regulatory requirements.
• Collaborate with Program Managers, Business Analysts, Architects, QA, and Developers to translate complex technical and business concepts into clear, structured, and actionable documentation.
• Ensure documentation enables effective project delivery, operational readiness, and seamless handover to IT support teams.
• Support regulatory reviews, audits, and risk assessments by maintaining high-quality documentation, reducing repeat audit findings.
•  Act as the single point of accountability for documentation quality across all IT initiatives.
• Coach and mentor technical writers and project team members on documentation standards, best practices, and Agile documentation approaches.
• Maintain a centralized knowledge repository to ensure consistency, reuse, and preservation of institutional knowledge.
• Identify and implement opportunities to improve documentation efficiency through structured authoring, automation, and modern tooling.

Requirements

Required Knowledge, Skills and Abilities:

• Ability to lead team(s) and demonstrate use of own initiatives.
• Strong knowledge of SDLC, Agile frameworks (e.g., Scrum), and hybrid delivery methodologies
• In-depth knowledge of IT systems documentation, including applications, integrations, and infrastructure
• Ability to translate complex technical concepts into clear, concise, and structured documentation
• Working knowledge of IT governance, risk, compliance, and audit requirements
• Experience working with cross-functional and vendor-led delivery teams
• Supervisory skills: Leadership, Coaching and Performance management
• Analytical thinking and strong written communication
• Ability to work in a fast paced, collaborative environment

Qualification & Experience

Mandatory

• Bachelor’s degree in computer science, Information Systems, Engineering, or a related technical field
• 10+ years of experience in technical writing, documentation management, or related IT delivery roles
• Relevant certifications in Technical Writing, Information Design, Business Analysis, IT Service Management, or other related disciplines
• Proven experience supporting large-scale IT projects or digital transformation initiatives
• Strong familiarity with enterprise systems, integration-heavy environments, and regulated industries

Desirable

• Additional professional qualifications
• Master’s Degree in relevant field
• Experience supporting large-scale or highly regulated financial institution

go to method of application »

• Provides balanced analytical research by turning raw data into valuable insights that help to drive the Bank’s actions and strategies.
• Interprets and analyses data from multiple sources to come up with imaginative solutions to problems.

Key Responsibilities

• Develop programming in Python, SAS, SQL or similar analytical development tools
• Maintain knowledge in statistics, mathematics and/or comparable quantitative area of expertise
• Responsible for collaborating with analysts to facilitate the development and application of advanced analytic strategies and tactics
• Ascertain and apply strategies to identified business problems and existing organizational processes in order to provide leaders with insightful resources for decision-making and to increase sales, profit, market share, and achieve enterprise goals
• Establish parameters of ad hoc analyses by setting appropriate timeline and work quality guidelines
• Develop timely, innovative, and objective analysis which leads to fact-based solutions for strategic business issues
• Assist in the development of the problem definition and hypothesis formulation process as it relates to the specific business environment
• Conduct analyses, formulate insights, and summarize and synthesize findings for presentation to line of business management
• Maintain an understanding of general business trends and requirements for the major area of support, and understand the link between analysis and business impact
• Utilize Python, SAS, SQL, Power BI or other analytical development tools with large data sets to design analyses and measure key metrics
• Facilitate development and application of advanced analytic strategies and tactics
• Support line of business analytical needs with dashboard/report development through Tableau and SAP BO

Requirements

Required Knowledge, Skills and Abilities: 

• Understanding of machine learning techniques and algorithms, such as Gradient Boosted Trees, CNN, RNN LSTM, etc.
• Knowledge and moderate proficiency in R, Python (scikit learn, pandas, numpy, Jupyter etc.) SAS, SQL, MATLAB, C/C++
• Experience with data visualization tools ex Power BI, Matplotlib and Seaborn
• Excellent communication and presentation skills
• Highly organized and experienced in leading/managing complex projects, initiatives and development
• This is an Individual Contributor role.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Data-oriented personality
• Ability to manage multiple and competing priorities

Qualification & Experience

Mandatory

• Bachelor’s degree and Master's Degree in computer science, Engineering, or related field
• Practical experiences in Machine Learning, NLP, Deep Learning (Tensor flow), Statistical Modelling, Quantitative Analysis, Forecasting, Data Visualization.
• 10 + years working experience as a data scientist or business data analyst, preferably in the financial services industry with at least 2 years of leadership experience.
• Must possess relevant professional qualifications.

Desirable

• Experience supporting large-scale or highly regulated financial institution