Job Description

Job Overview

Business Segment:

Personal & Private Banking

Location:

ZA, GP, Johannesburg, 30 Baker Street

Job Type:

Full-time

Job Ref ID:

80446739A-0001

Date Posted:

11/6/2025







As a Risk Analytics Engineer, you are the critical bridge between advanced analytics and our production environment. You will be embedded within a cross-functional squad, responsible for the operationalization of risk models and strategies. Your primary mission is to ensure that the analytical solutions built by our data scientists and risk analysts--from credit scorecards to real-time fraud models--are deployed, monitored, and managed in a robust, automated, and scalable fashion. You will build and own the MLOps pipelines and solutions that bring our risk intelligence to life.



Qualifications

Qualification:

Completed Matric

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related quantitative field.



Experience Required



5-7 years experience in building databases, warehouses, reporting and data integration solutions.

Experience building and optimising big data data-pipelines, architectures and data sets. Experience in creating and integrating APIs.

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

8-10 years deep understanding of data pipelining and performance optimisation, data principles, how data fits in an organisation, including customers, products and transactional information. Knowledge of integration patterns, styles, protocols and systems theory

8-10 years experience in database programming languages including SQL, PL/SQL, SPARK and or appropriate data tooling. Experience with data pipeline and workflow management tools

Additional Information

Behavioural Competencies:

Adopting Practical Approaches

Articulating Information

Checking Things

Examining Information

Interpreting Data

Managing Tasks

Producing Output

Technical Competencies:

Big Data Frameworks and Tools

Data Engineering

Data Integrity

Data Quality

IT Knowledge

Stakeholder Management (IT)

Please note:

All our recruitment processes comply with the applicable local laws and regulations. We will never ask for money or any from of payment as part of our recruitment process. If you experience this, please contact our Fraud line on +27 800222050 or TransactionFraudOpsSA@standardbank.co.za