Modelling Data and Implementation Analyst

Absa Group; Johannesburg; On-site; ZAR 500 000 - 700 000; Full time

Job summary

A leading financial services group in South Africa seeks a specialist to provide quantitative analytics support. The role involves model implementation, data analysis, and stakeholder engagement, ensuring compliance with risk policies. Ideal candidates will have a relevant degree and experience in model development within a banking environment.

Qualifications

• Minimum 3 years’ experience in model development or data analysis.
• Practical experience in Base SAS and SAS SQL.

Responsibilities

• Analyze model requirements and prepare data for implementation.
• Develop and test implementation code using SAS and Python.
• Collaborate with stakeholders for model integration.

Skills

Analytical

Problem Solving

Communication

Education

Bachelor’s degree in Statistics

Bachelor’s degree in Mathematics

Bachelor’s degree in Computer Science

Bachelor’s degree in Actuarial Science

Tools

SAS

SQL

Python

Power BI

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

To provide specialist advice and support in the development and implementation of quantitative analytics, planning and associated service delivery processes, methods and techniques; enabling the provision of sound product development expertise.

The primary focus of this role is to support the implementation and integration of credit risk models by analyzing model requirements, preparing data, developing implementation code, and enabling successful model embedment within business processes. The incumbent will ensure that all implementation tasks adhere to internal risk policies, model governance frameworks, and regulatory requirements.

Job Description

Model Data Analysis & Preparation

• Analyze model build documentation and other artifacts to understand and define data requirements.

• Conduct data testing and quality assessments to ensure inputs are fit for modelling purposes.

• Investigate and apply suitable data preparation methods aligned with model implementation standards.

Model Implementation & Testing

• Develop and test implementation code using SAS (Base, SQL, Macros), Python, or SQL.

• Create and maintain implementation documentation including sign-off and post-implementation review packs.

• Provide technical support to stakeholders during model rollout and respond to queries on model logic and execution.

• Facilitate model embedment into operational environments, ensuring models are used accurately and effectively.

Regulatory Reporting & Compliance

• Maintain and update regulatory reporting processes and contribute to regulatory impact assessments.

• Investigate and respond to regulatory-related queries and audit findings.

• Ensure compliance with Model Risk Policy, RDARR standards, Data Privacy, and other governance frameworks.

• Keep abreast of updates to policy and standards and proactively resolve any non-compliance.

Stakeholder Engagement

• Collaborate with key stakeholders, including model owners, developers, validators, users, regulatory teams, and IT.

• Communicate progress, risks, and issues effectively across stakeholders through reports, presentations, and meetings.

• Proactively engage in cross-functional discussions to ensure smooth model integration and process alignment.

Project Participation & Continuous Improvement

• Contribute to the ongoing project of automation and standardization of model implementation processes.

• Participate in continuous improvement initiatives and propose enhancements to data pipelines, documentation, and testing routines.

• Support knowledge sharing and provide model usage training to end users.

Qualifications:

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Actuarial Science, or a related quantitative field.

Experience:

• Minimum 3 years’ experience in model development, data analysis, or model implementation within a banking or financial services environment.

• Practical experience in Base SAS, SAS Enterprise Guide, SAS Macros, and SAS SQL.

• Exposure to regulatory capital or IFRS 9 impairment models is advantageous.

• Experience with regulatory reporting and stakeholder engagement preferred.

Skills & Competencies:

• Strong analytical and problem-solving abilities with attention to detail.

• Proficient in data manipulation and automation using SAS, SQL, or Python.

• Effective verbal and written communication skills, able to convey complex technical concepts to non-technical audiences.

• Ability to prioritize and manage multiple tasks in a dynamic, deadline-driven environment.

• Collaborative and proactive with a focus on continuous learning and excellence.

• Knowledge of Power BI and SAS Visual Analytics is advantageous.

Governance & Compliance:

• Ensure all activities align with Absa’s Enterprise Risk Management Framework and relevant internal policies.

• Actively identify, report, and manage risk events relevant to the role.

Education

Bachelor`s Degrees and Advanced Diplomas: Physical, Mathematical, Computer and Life Sciences (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