Vacancies at Absa Bank Limited

Key accountabilities / Deliverables / Outcomes:

Sales and Service Time split 65%

• Achievement of the portfolio’s annual financial targets: -
• Balance Sheet Growth,
• Revenue and Profitability,
• Growth in share of market, and
• Portfolio At Risk kept within set limits to minimize potential NPL.
• Driving customer satisfaction (NPS score), developing and growing relationships with existing and potential customers, identifying opportunities for business development and guiding product development.
• Maintain Customer Account Plans for all customers in the portfolio such that contact with customers is prioritized.
• Conduct Annual and, if appropriate, Interim Reviews of Borrowing customers facilities.
• Where applicable, conduct Annual and/or Interim Reviews of Non-borrowing customers.
• Determine the key messages, e.g., agreed service standards, negotiated pricing, relationship team contact points, and new product changes, deciding upon the most appropriate communication method.
• Deal with and find solutions to customer complaints.
• Determine the products that are most effective in meeting customers' needs and be able to sell these at short notice both reactively and proactively.
• Research, create, and follow up a target list for potential new business.

Business Management Time split 30%

• Research, create, and follow up on a target list for potential new business.
• Identify priority customers using the relationship Customer Account Planning templates to assess their present and potential contributions.
• Gather all the required information that is needed to prepare and assess credit applications. The role holder will be expected to input certain key information such as judgmental information. (They will work with Assistant Relationship Manager, Business Development Manager for relevant product, and the Corporate Credit Manager resources to construct credit applications).
• Adherence to approved policies and procedures and providing feedback on the same so as to keep them competitive;
• Audit issues closed with Nil repeat findings, and
• 100% SLA Adherence to agreed turnaround times.
• Control and quality of the portfolio, using available triggers and adherence to Risk management guidelines and policies.

Staff Management Time split 5%

• Day-to-day coaching and development of the portfolio Assistant Relationship Managers (ARM’s).
• Performance tracking and periodic reviews of the supporting ARM.
• Making the bank a great place to work (360o feedback)

Qualification:

• A relevant business-related degree from a recognized university.
• Additional professional / advanced qualifications are an added advantage.

Preferred Experience:

• At least 5 years in relationship management in Business / Corporate Banking.

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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[1]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[1]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
• People
• Coach & mentor other engineers
• Conduct peer reviews, testing, problem solving within and across the broader team • Build data science team capability in the use of data solutions
• 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

Skills & Experience Required

• 3+ years relevant experience
• Proficiency in Hadoop required
• Spark and/or AWS knowledge a distinct advantage
• Experienced in lake formation
• Ability to adapt to inhouse built ETL tools