Latest Jobs at Access Bank

Job Grade: ABO - BO

Reports to: Team Lead, Data Science

Group: Data Management Office

Job Overview: 

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

Key Responsibilities

• Develop programming in R, 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 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
• 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
• Develop timely, innovative, and objective analysis which leads to fact-based solutions for strategic business issues
• 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 R, SAS, SQL, Tableau or other analytical development tools with large data sets to design analyses and measure key metrics
• Support line of business analytical needs with dashboard/report development through Tableau
• Perform other duties as assigned by the Team Lead, Data Science.

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
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, JavaScript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc.)
• Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Ability to learn and dedication to service delivery
• Proficient in office automation tools (e.g. Microsoft Office, etc)
• Proficient in SQL
• Oral & Written communication
• Team building / conflict management
• Initiative
• Analytical Skills/ Problem solving
• Self-Management
• Interpersonal Skills
• General managerial/ administration

Qualification & Experience

Mandatory

• Bachelor’s degree in STEM, computer science, Engineering, or related field
• Practical experiences in Machine Learning, NLP, Deep Learning (Tensor flow), Statistical Modelling, Quantitative Analysis, Forecasting, Data Visualization.
• 3-6 years working experience as a data scientist or business data analyst, preferably in the financial services industry

Desirable

• Relevant professional qualifications.

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Job Grade: AM - MGR

Job Overview: 

Responsible for providing strategic leadership and direction to Business Managers within the assigned region to achieve financial and non-financial targets, drive portfolio growth and profitability, ensure excellent customer experience, deepen market penetration, strengthen risk asset quality, and promote adoption of the Bank’s products and digital channels.

Key Responsibilities

• Drive regional profitability, growth, and achievement of strategic targets
• Lead Business Managers to deliver financial and non-financial performance objectives
• Identify business opportunities and conduct market intelligence to support growth
• Drive deposit mobilization, revenue generation, risk asset growth, and portfolio quality
• Oversee credit processing, approvals, disbursements, and portfolio performance
• Monitor loan recoveries, delinquency trends, and regulatory compliance
• Drive customer acquisition, retention, and digital channel adoption
• Build and maintain strategic relationships with key customers and stakeholders
• Collaborate with SBUs to drive ecosystem opportunities and business growth
• Build a high-performance culture through coaching, mentoring, and performance management
• Conduct staff performance reviews and capability development sessions
• Ensure adherence to the Bank’s core values, policies, and service standards
• Prepare regional business plans, profitability reports, and management reports
• Perform other duties as assigned by the Group Head

Requirements

Skills/Competence Requirements

Required Knowledge, Skills and Abilities:

• Excellent business development and management skills
• Strong financial analysis and portfolio management capabilities
• Advanced marketing and sales skills
• Strong knowledge and understanding of the Nigerian SME banking market
• Good understanding of banking operations (domestic and international operations)
• Strong presentation and problem-solving capabilities
• Strong managerial and administrative skills
• Team building and conflict management skills
• Strong leadership and influencing capabilities
• Strong organizational and coordination skills
• Competence in credit portfolio management
• Ability to review, and analyze credit proposals
• Excellent communication and stakeholder management skills

Qualifications & Experience

• A good first degree in any discipline. Relevant Masters’ degree is an added advantage. 
• Recognized professional certification such as ACIB, etc.
• 10 years in sales with at least 3 years in team management role.

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Job Grade: AM - MGR

Job Overview:

This role leads the retail data and analytics agenda, partnering with executives to align business and analytics strategies. It oversees data governance, policies, standards and data quality, ensuring resolution of data issues. Delivers insights, performance monitoring, predictive models and machine learning solutions customer experience.

Key Responsibilities:

• Unlock business values using internal and external data for the overall achievement of short term, medium- and long-term goals.
• Enable and support “revenue growth” strategies, “cost reduction” strategies, “process improvement strategies”, and “risk reduction” strategies.
• Lead data and analytics agenda and serve as a trusted partner to key business decisions.
• Foster innovation leveraging, emerging Big Data and analytics technology.
• Strengthening competitive advantage through access to better information and insights
• Partners with business to align business and data analytics strategies to maximize the value of data and analytics investments
• Drive the Retail Bank’s data policies, standards, organization and provides a central authority for resolution on data management issues.
• Work with executives, data owners, and data stewards to achieve data accuracy and process requirement goals for all internal and external customers and create data management strategies,
• Drive Overall improvement in average revenue per customer, cost optimization and customer experience.
• Monitor Retail performance and proactively provide guidance on issues and challenges that could alter achievement of set goals and priorities
• Guide in development of data models according to the bank standards, build predictive models and machine learning algorithms
• Lead and mentor a team of data scientists, analysts and engineers
• Develop and implement the data strategy and roadmap for the organization
• Oversee data analytics projects from inception to completion
• Drive innovation by exploring new data sources and techniques

Requirements

Skills/Competence Requirements

• Strong knowledge of retail banking operations, products, customer behavior and performance drivers.
• Strong understanding of data analytics, business intelligence, predictive modelling and machine learning concepts.
• Knowledge of data governance, data quality management and enterprise data management practices.
• Proficiency in analytics and visualization tools such as SQL, Python/R, Power BI, Tableau or related platforms.
• Strong strategic thinking and problem-solving capability with ability to translate data into business insights.
• Sound understanding of revenue optimization, cost management, customer analytics and risk management principles.
• Ability to interpret market trends, customer trends and industry developments to support business decisions.
• Strong project management and stakeholder management capabilities.
• Excellent presentation, reporting and communication skills.
• Strong innovation mindset with ability to leverage emerging analytics technologies and data-driven solutions.
• Build strong relationships with business stakeholders and communicate insights effectively.

Supervisory & Leadership Skills

• Strong leadership and influencing skills.
• Team development, coaching and mentoring capability.
• Strong organizational, coordination and people management skills.
• Ability to manage cross-functional teams and multiple analytics initiatives simultaneously.
• Strong decision-making and performance management capability.
• Conflict resolution and relationship management skills.

Qualifications & Experience

• Bachelor’s Degree in STEM, Economics, or related discipline.
• Master’s degree in Data Science, Business Analytics, Statistics, Artificial Intelligence, MBA or related field will be an added advantage.
• Relevant professional and data analytics certifications will be an added advantage.
• Minimum of 8–12 years’ relevant experience in data analytics, business intelligence, strategy, retail banking analytics or related roles, with at least 4–5 years in a leadership or managerial capacity.