Senior Model Data & Implementation Analyst

Job description

Empowering Africa’s tomorrow, together…one story at a time.

With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Job Summary

The Senior Model data and implementation analyst is responsible to lead, influence, manage and improve the in the end-to-end life cycle of modelling data and implementation processes through interaction with internal and external stakeholders.

A key objective of the role is to develop and mentor technical abilities within Model Implementation to ensure compliance to regulatory requirements as well as other internal policies and governance practices.

Furthermore, the role’s purpose is performing, designing and testing tasks, while also be closely involved in the analyses, construction, enhancement and documentation of modelling data and implementation processes.

During the implementation phase, the role will be tasked to facilitate correct model use embedment within credit.

Job Description

Accountability: Modelling data and implementation processes/solutions (45%)

• Investigate best practice and industry trends applicable to the specific Model data and Implementation area

• Research and adhere to model implementation standards as well as other relevant policies and standards.
  
  

• Manage certain, predefined tasks to give effect to the controls within the modelling data and implementation environment.
  
  

• Manage and perform investigative and analyses tasks identifying modelling data in the warehouse and authoritative sources.
  
  

• Design, manage and perform modelling data preparation processes.
  
  

• Investigate and influence different methods and approaches to use during modelling data preparation.
  
  

• Analyse model build documentation and other modelling artefacts to understand, investigate, analyse and challenge modelling data requirements.
  
  

• Assist model owners and credit model stakeholders to use the models correctly by providing model use guidance and training.
  
  

• Escalate delays to line manager and/or relevant stakeholders.
  
  

• Present findings, designs documentation and other modelling data implementation documentation to both internal and external stakeholders.
  
  

• Facilitate model embedment into credit operational processes ensuring correct model usage.
  
  

• Review & understand credit policies and model usage.
  
  

• Communicate clearly with other support teams to ensure timely delivery of projects

• Conduct modelling data testing and data quality assessment within the modelling context to provide assurance that the modelling data is fit for purpose.
  
  

• Create model implementation and control documentation (specifically implementation sign-off document and post implementation review document)

• Develop and test model implementation code and artefacts.
  
  

• Manage time across multiple initiatives.
  
  

Accountability: Stakeholder management (30%):

• Clearly communicate progress, results of investigations and other tasks to line manager and/or initiative lead.
  
  

• Escalate delays to line manager and/or initiative lead.
  
  

• Present findings, designs documentation and other modelling data implementation documentation to line manager and/or internal stakeholders.
  
  

Accountability: Governance and Adherence (10%)

• Ensure model compliance with Absa Group Policies and Standards by staying updated with changes and ensuring that new model developments always adhere to the Policies and Standards.
  
  

• Notify management in case any non-adherence to Policies and Standards are identified.
  
  Participate in discussions aimed to resolve these gaps.
  
  

Accountability: People Management (15%)

• Contribute to the development of a high-performance culture within the team, while maintaining integrity.
  
  

• Lead by example, driving excellence.
  
  

• Participate in planning, resource allocation, training, and team-building functions.
  
  

Role/Person Specification

Education and Experience Required

• Minimum B-degree in Quantitative Modelling and/or Computer Science (NQF level no.
  
  7) preferred

• Minimum 3-4 years’ experience preferred

• Practical data / programming courses.
  
  

Knowledge & Skills:

• Knowledge of Data warehousing, Data bases and data structures

• Knowledge of Retail lending, including principles of risk management.
  
  

• Quantitative and analytical thinking

• Knowledge of modelling and statistics

• Advanced data analysis and problem-solving skills.
  
  

• Knowledge of data manipulation.
  
  

Competencies:

• Deciding and initiating action.
  
  

• Learning and researching.
  
  

• Entrepreneurial and commercial thinking.
  
  

• Relating and networking.
  
  

• Adapting and responding to change.
  
  

• Persuading and influencing.
  
  

• Creating and innovating.
  
  

Education

Bachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies (Required)

Absa Bank Limited is an equal opportunity, affirmative action employer.

In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.

Absa Bank Limited reserves the right not to make an appointment to the post as advertised

Required Skill Profession

Database, Analytics & Bi