Job Vacancies at Absa Bank Limited

La Riba Area Sales Manager (Nairobi Region) at Absa Bank Limited

Key accountabilities/Deliverables/Outcomes

SUPERVISION OF LA RIBA LEAD GENERATORS TIME SPLIT 40%

• Support and Enablement: Act as a key enabler to the La Riba Lead Generators by equipping them with Shari’ah-compliant tools, knowledge, and resources necessary to optimize Islamic banking sales in line with La Riba principles.
• Sales Target Achievement: Drive the achievement of annual La Riba sales targets through effective delegation and support of Lead Generators. Monitor their performance daily, weekly, quarterly, and annually, providing coaching and feedback aligned with Islamic banking values.
• Target Setting: Collaborate with team members to set individual targets for La Riba products, including Islamic assets, liabilities, and campaign-specific goals, ensuring alignment with Shari’ah-compliant offerings.
• Team Management: Oversee daily attendance and availability of the La Riba sales team in accordance with HR policies. Manage and approve leave requests while ensuring minimal disruption to field activities.
• Field Activity Oversight: Monitor the daily movements and field activities of Lead Generators to ensure planned customer engagements and outreach efforts are executed effectively and ethically.
• Motivation and Recognition: Foster a high-performance culture by motivating the team and recognizing achievements through Absa Bank PLC’s recognition programs, while upholding La Riba values.
• Training and Development: Identify training needs specific to Islamic banking and arrange for appropriate interventions through on-the-job coaching and formal training programs.
• Training Communication: Provide a summary of training needs to the Regional Sales Managers annually, ensuring all mandatory and Shari’ah-compliant learning interventions are completed.
• Recruitment Support: Participate in interviews for La Riba Lead Generators based on shortlists provided by Regional Sales Managers, HR, and the Resource Coordinator, ensuring candidates align with Islamic banking principles.
• Onboarding and Induction: Oversee the onboarding of new Lead Generators, ensuring they complete formal induction and all mandatory compliance and Shari’ah training.
• Disciplinary Processes: Participate in disciplinary hearings for misconduct or incapacity in collaboration with HR, ensuring fairness and adherence to both HR and Islamic ethical standards.
• Compensation Understanding: Ensure all Lead Generators have a clear understanding of the La Riba compensation structure and how it aligns with performance and compliance.

SUPERVISION OF LA RIBA SALES ACTIVITIES TIME SPLIT 30 %

• Campaign Supervision and Product Promotion: Oversee La Riba product promotion campaigns by distributing Shari’ah-compliant marketing materials to Lead Generators. Cascade key product messages and ensure staff are trained on new products, including proper usage of updated application forms in line with Islamic banking standards.
• Sales Performance Monitoring: Track and analyze La Riba sales performance on a daily, weekly, and monthly basis. Share performance insights and reports with Regional Sales Managers, highlighting trends, opportunities, and areas for improvement within the Islamic banking portfolio.

BUSINESS EXPANSION TIME SPLIT 10 %

• Corporate Sales Activations and Financial Trainings: Collaborate with Regional Sales Managers to unlock La Riba sales opportunities within companies by organizing Shari’ah-compliant sales activations and delivering tailored financial literacy trainings that align with Islamic banking principles.
• Lead Generation for New Company Sign-ups: Partner with the sales teams and Regional Sales Managers to generate and convert leads for new company sign-ups, ensuring all engagements and offerings are in full compliance with La Riba’s ethical and Shari’ah standards.

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Prestige (Sky Team) Team Leader at Absa Bank Limited

Job Description

Sales Performance 35%

• Monitor and drive team-wide sales performance, ensuring the achievement of individual and collective targets.
• Review daily sales dashboards and coach underperforming bankers.
• Coordinate with Data Led Sales Team to allocate leads strategically across the Sky Prestige team.
• Champion execution of campaigns by assigning roles, reviewing outcomes, and reporting impact to the Head of Data Lead Sales.
• Collaborate with colleagues in the Branch Network, Contact Centre, and Regional Business Teams to identify and engage prospective clients across the country.
• Leverage digital channels and virtual platforms to drive customer acquisition, engagement, and onboarding.
• Develop territory-specific growth strategies tailored to regional trends and remote client needs.
• Focus on new to bank and cross-selling to existing customers to drive growth within the segment.
• Vigilantly monitor personal performance daily to surpass the targets set for new and existing clients and take decisive action to rectify any performance deficiencies.
• Proactively seek out new prestigious clients within and outside the bank’s customer base to drive client acquisition.
• Attain a comprehensive understanding of all Retail and Business Banking products to cater to customer needs effectively.
• Devise and execute sales strategies tailored to the requirements of emerging affluent clients, ensuring consistent achievement of individual sales targets.
• Ensure prompt funding of high-quality sales and new accounts within your portfolio at customer onboarding.
• Drive business targets by strictly adhering to turnaround time and delivering service to the highest standards.
• Actively champion Forex products and services among emerging affluent clients to contribute significantly to overall Forex revenue targets.
• Deliver personalized Forex solutions that address clients’ international transaction needs, providing them with competitive and comprehensive offerings.
• Collaborate with other business functions to devise and execute sales initiatives, maximizing cross-selling and enhancing customer profiling opportunities in the prestige segment.
• Embed quality metrics in all sales campaigns and monitor delivery for consistency and compliance.
• Ensure all Sky Prestige Bankers adhere to script standards, full disclosures, and suitability checks during sales processes.

Portfolio Management & Growth 20%

• Maintain and deepen relationships with emerging affluent clients, ensuring ongoing client satisfaction and long-term engagement.
• Oversee client portfolio health and relationship quality across all team-managed clients.
• Ensure client segmentation, wallet share opportunities, and cross-selling strategies are embedded across all portfolios.
• Regularly review banker portfolios for risk exposure, growth stagnation, or service gaps.
• Continuously conduct market intelligence to identify new markets, customer trends, new government/directives and changes in policy by regulators.
• Conduct regular reviews and provide tailored financial advice that aligns with the clients’ evolving needs and financial goals.
• Engage clients in discussions about their financial objectives and offer solutions that promote portfolio growth and client loyalty.
• Focus on growing the portfolio’s liabilities (deposits and investments) by encouraging clients to increase their holdings with the bank.
• Promote asset growth through targeted lending products and other financial services, ensuring clients are aware of and utilize the bank’s offerings.
• Deliver sales through excellent service, ensuring that every client interaction is an opportunity to enhance the relationship and grow the portfolio.
• Should not close an existing account in your Branch/domiciled in another Branch with a view of re-opening a similar account.
• Grow Product Per Customer

Net Active Customer Growth 5%

• Monitor team performance on net customer growth.
• Implement retention and engagement strategies team wide.
• Lead client win-back campaigns and referrals via digital channels.

Portfolio Net Promoter Score 10%

• Ensure high levels of client satisfaction by maintaining a strong focus on Net Promoter Score (NPS) for the individual portfolio.
• Track and report team Net Promoter Score (NPS) performance monthly.
• Lead customer service escalations and intervene in complex client issues.
• Conduct virtual or regional check-ins to uphold service standards.
•  Utilize digital tools to deliver a seamless customer experience.
• Resolve client issues through remote support channels and coordinate with in-country service teams as needed.
• Manage service escalations from remote regions and ensure turnaround time is met regardless of client location.
• Collaborate with branch colleagues to ensure that service standards are met, and clients are satisfied across all touchpoints.
• Ensure excellent customer experience is always maintained.
• Address client queries and complaints promptly, ensuring timely resolution and communication.
• Ensure customer data is always up to date.
• Ensure SLA in account onboarding and loan processing is always achieved.
• As per the agreed SLA action client feedback to continually improve service delivery and strengthen client relationships.
• Proactively manage potential service issues before they escalate, ensuring a smooth and positive client experience.
• Review customer feedback to identify service quality gaps; initiate service recovery or improvement initiatives.
• Uphold internal QA benchmarks and regulatory standards in every client interaction.

 Accuracy & Efficiency 5%

• To maintain high operational efficiency, avoid RTS-related claw backs
• Tighten controls on settlement issues, reducing process delays & inefficiencies.

Quality Assurance 5%

• Lead quality assurance efforts across Sky Prestige Bankers to ensure service delivery, onboarding accuracy, and sales execution meet set standards.
• Review and evaluate banker-client interactions (calls, emails, meetings) for consistency, professionalism, and value-add in line with Prestige standards.
• Regularly assess quality of advice, portfolio reviews, and product suitability across the team.
• Drive corrective actions based on QA findings through structured coaching, retraining, or escalation where necessary.
• Maintain a quality dashboard and report trends to the Head of Data Lead Sales for strategic interventions.
• Ensure zero tolerance for mis-selling, misrepresentation, or non-disclosure practices.
• Track and close any client feedback, service lapses, or negative NPS drivers tied to quality issues.

Impairment Management 10%

• Manage team’s portfolio risks in line with banks portfolio appetite.
• To Minimize impairments and manage customer defaults.
• To proactively monitor team portfolio health to support Risk Management

Customer On-Boarding Accuracy 2.5%

• Ensure team’s accuracy in capturing customer information in the core banking system when onboarding.
• Ensure new business is properly booked and all income due to the Bank in terms of charges, commissions, fees are collected as per current tariff.
• Cost management within the prestige portfolio.

Compliance Management 2.5%

• Champion compliance awareness within the team.
• Review of quality of onboarding and KYC documentation submitted by Sky Prestige Bankers.
• Act as control point for operational risk concerns before escalation to Compliance or Risk functions.
• Conduct monthly team-level health checks.
• Use QA insights to flag systemic issues in KYC, onboarding, or advisory processes.
• Collaborate with Risk & Compliance on root cause analysis from audit/QA failures and follow through on corrective actions.

Training 2.5%

• Participate actively in personal and professional development, completing all mandatory training on time and ensuring no overdue training sessions.
• Develop team capability through ongoing coaching, peer learning, and skills training.
• Monitor training completion and conduct mini-knowledge assessments.
• Identify high-potential team members and support career development.
• Address behavioral and performance issues early and constructively.
• Represent the team in leadership and strategy forums
• Collaborate with branch management to create a collaborative and productive work environment.
• Contribute to the development of a strong team by sharing knowledge, mentoring peers, and participating in team-building activities.
• Participate in regular virtual training sessions and knowledge-sharing forums with colleagues across the country.
•  Leverage digital platforms for peer learning and regional collaboration.
• Ensure the assigned e-learning and internal training activities for self and direct reports undertaken within set timelines.
• Determine and manage Training Needs Analysis and own succession planning.
• Manage your own leave by working closely with your Line Manager.
• Use quality assurance results to guide individual and team training interventions.
• Align team upskilling plans with identified QA gaps in advisory, onboarding, or client handling.

Leave Management 2.5%

• Manage personal leave in a way that ensures continuity of client service, coordinating with colleagues to cover responsibilities during absences.
• Coordinate leave schedules for Sky Prestige Bankers to ensure continuous client support.
• Track team wellness and flag burnout risks to Head of Data Lead Sales.
• To ensure that the wellness & individual growth drive is upheld.

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Specialist Data Engineer at Absa Bank Limited

Job Summary

Work embedded as a member of squad OR; across multiple squads to produce, test, document and review algorithms & data specific source code that supports the deployment & optimisation of data retrieval, processing, storage and distribution for a business area.

Job Description

Data Architecture & Data Engineering

• Understand the technical landscape and bank wide architecture that is connected to or dependent on the business area supported in order to effectively design & deliver data solutions (architecture, pipeline etc.)
• Translate / interpret the data architecture direction and associated business requirements & leverage expertise in analytical & creative problem solving to synthesise data solution designs (build a solution from its components) beyond the analysis of the problem
• Participate in design thinking processes to successfully deliver data solution blueprints
• Leverage state of the art relational and No-SQL databases as well integration and streaming platforms do deliver sustainable business specific data solutions.
• Design data retrieval, storage & distribution solutions (and OR components thereof) including contributing to all phases of the development lifecycle e.g. design process
• Develop high quality data processing, retrieval, storage & distribution design in a test driven & domain driven / cross domain environment
• Build analytics tools that utilize the data pipeline by quickly producing well-organised, optimized, and documented source code & algorithms to deliver technical data solutions
• Create & Maintain Sophisticated CI / CD Pipelines (authoring & supporting CI/CD pipelines in Jenkins or similar tools and deploy to multi-site environments – supporting and managing your applications all the way to production)
• Automate tasks through appropriate tools and scripting technologies e.g. Ansible, Chef
• Debug existing source code and polish feature sets.
• Assemble large, complex data sets that meet business requirements & manage the data pipeline
• Build infrastructure to automate extremely high volumes of data delivery
• Create data tools for analytics and data science teams that assist them in building and optimizing data sets for the benefit of the business
• Ensure designs & solutions support the technical organisation principles of self-service, repeatability, testability, scalability & resilience
• Apply general design patterns and paradigms to deliver technical solutions
• Inform & support the infrastructure build required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Support the continuous optimisation, improvement & automation of data processing, retrieval, storage & distribution processes
• Ensure the quality assurance and testing of all data solutions aligned to the QA Engineering & broader architectural guidelines and standards of the organisation
• Implement & align to the Group Security standards and practices to ensure the undisputable separation, security & quality of the organisation’s data
• Meaningfully contribute to & ensure solutions align to the design & direction of the Group Architecture & in particular data standards, principles, preferences & practices. Short term deployment must align to strategic long term delivery.
• Meaningfully contribute to & ensure solutions align to the design and direction of the Group Infrastructure standards and practices e.g. OLA’s, IAAS, PAAS, SAAS, Containerisation etc.
• Monitor the performance of data solutions designs & ensure ongoing optimization of data solutions
• Stay ahead of the curve on data processing, retrieval, storage & distribution technologies & processes (global best practices & trends) to ensure best practice

Risk & Governance

• Identify technical risks and mitigate these (pre, during & post deployment)
• Update / Design all application documentation aligned to the organization technical standards and risk / governance frameworks
• Create business cases & solution specifications for various governance processes (e.g. CTO approvals)
• Participate in incident management & DR activity – applying critical thinking, problem solving & technical expertise to get to the bottom of major incidents
• Deliver on time & on budget (always)

Must have experience in:

• Spark and Scala Developers
• Hadoop experience 
• Experience in ETL
• AWS (S3 Buckets)
• Data Engineering skill

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Data Scientist

Job Summary

The role holder is responsible for applying data mining techniques, doing statistical analysis, building high quality prediction algorithms, developing analytical reports and devising analytical solutions to use cases and data science problems. This will involve the ability to create sophisticated, value-added analytic systems that support revenue generation, risk management, operational efficiency, regulatory compliance, portfolio management, and research.

Job Description

Key accountabilities/Deliverables/Outcomes.

• Perform statistical analysis, deploying models on large data sets.
• Conduct exploratory data analysis
• Demonstrate a strong understanding of agile delivery.
• Develop code with Spark via PySpark or SparkR
• Perform queries, aggregations, joins, and transformations using Spark, Hive, and Pig.
• Develop new data sets using feature-engineering techniques.
• Deliver value by creating functions, classes, and packages to automate processes and workflows for production deployment.
• Evaluates user request for new/modified programs to determine feasibility, cost and time required, compatibility with current system, and computer capabilities.
• Transform large, complex datasets into pragmatic, actionable insights.
• Leverage data to identify, quantify and influence tangible business gain
• Implement analytical model designs, perform any restructuring required, and review dataset implementations performed by the data engineer and BI developers.
• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using bank selected data mining tools
• Enhance data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for advanced analysis
• Doing ad-hoc analysis and presenting results in reports, dashboards and charts
• Creating automated anomaly detection systems and constant tracking of its performance
• Implement statistical data quality procedures or test-driven approach for quality assurance
• Challenge ideas and methods while working together with talented, highly skilled team members.
• Design, create, interpret and manage large datasets to achieve business goals
• Design, build, and maintain various parts of the data warehousing with respect to requirements gathering, data modelling, metric establishment, reporting production, and data visualization.
• Gather and process raw, unstructured data at scale into a form suitable for analysis then consolidate into the data warehouse in order to perform Business Intelligence and advanced analytics.
• Evaluate datasets for accuracy and quality using statistical data quality procedures, software, or test-driven approaches that ensure quality assurance and solve any issues, which may arise.
• Improve data foundational procedures, guidelines and standards and develop best practices for data management, maintenance, reporting and security.
• Conduct performance tuning to be able to optimize the application of statistical models and scripts
• Develop and maintain documentation/manuals on models developed, reports generated and statistical solutions devised.
• Carry out technical user training as required to enable users interpret Data Science solutions
• Ability to take personal responsibility and accountability for timely response to client queries, requests or needs, working to remove obstacles that may impede execution or overall success.
• Assist in developing and implementing a program of continuous improvement of Data processes through a cycle of analysis of existing systems, processes, and tools, identifying areas for improvement, and implementing high-impact changes, and getting feedback from stakeholders.
• Understand Key Performance Measures and Indicators that drive company performance measurement, reporting, and analytics across functions and understand how these metrics and measures align and track against overall business strategies, goals and objectives.
• Work with Business Customers to understand business requirements and implement solutions and with business owners to develop key business questions and to build datasets that answer those questions.
• Assist to analyze business/use case requirements from BI analysts to determine operational problems, define data modeling requirements, gather and validate information, apply judgment and statistical tests and develop data structures to support the generation of business insights and strategy;
• Provide test interfaces for users to test the reports and dashboards before being put on the production environment.

Role/person specification

Qualification

• Bachelor’s degree in mathematics/statistics, data sciences or related quantitative fields.

Preferred Experience

• 1-3 years Technical experience in data science

Knowledge and Skills

• Data-oriented personality
• Knowledge of agile software development process and performance metric tools
• Experience extracting and cleaning text in different formats e.g. HTML, pdf files
• Proven ability to collaborate with other team members across boundaries and contribute productively to the team’s work and output, demonstrating respect for different points of view. Able to use strong interpersonal and teamwork skills to cultivate effective, productive client relationships and partnerships across organizational boundaries.
• Knowledge on the Hadoop Data Platform and using Scala for big data analysis
• Proficient at queries, report writing and presenting findings
• Knowledge of ETL and data integration tools
• Knowledge of merging technological trends in programming languages and other programming tools

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