Let's Write Africa's Story Together!
Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.
Job Description
Are you passionate about using data to fundamentally rethink how insurance works? Are you energized by the idea of designing the future model of insurance—one that’s fast, fair, predictive, and personal? At Old Mutual Insure, we’re building exactly that.
As a Data Engineer, you will be joining a small high-performance team modernising the 2nd-line risk function. We believe in a code-first approach to risk: no manual reporting and no tick box compliance. We are replacing manual oversight with automated pipelines, real-time monitoring, and code-first governance.
Responsibilities will include the following:
Engineering end-to-end solutions that automate the validation and benchmarking of insurance models and monitor risk exposure, such as:
Supporting the development and maintenance of statistical and machine learning models to assess credit, market, operational, and emerging risks
Enabling predictive models for early warning indicators of risk events
Deploy LLM-based agents to parse regulatory changes and graph theory for fraud network detection
Building robust ETL processes to ingest structured and unstructured data
Ensuring data quality, integrity, and compliance with regulatory standards
Collaborating with 1st Line and other stakeholders to develop best practice frameworks and policies
Challenging data lineage and recommend improvements for reliability
You care about clean code, type hinting, unit testing, and CI/CD, and structured codebases. Notebooks are only for experimentation
A systems thinker. Instead of patching problems, you investigate the source and repair the system
Eager to grow, learn, and experiment with new technologies and methodologies
Comfortable with uncertainty and unstructured complex problems
Understands how data drives commercial outcomes
Understanding of risk management processes
Keeps up with new tools, AI trends, and best practices
Works fluidly across business and technical teams
Delivers with discipline, quality, and impact
Brings fresh ideas to complex challenges
Makes sense of messy, ambiguous data environments
Follows through and learns from feedback
Simplifies, automates, and scales where possible
Handles competing deadlines and tasks with resilience, structure, and delivery focus.
Knowledge, Skills and Experience required:
Bachelor’s degree in one of the following (or equivalent experience):
Data Science / Data Engineering
Statistics
Computer Science
Actuarial Science
Engineering
Applied Mathematics
Advantages – Risk Management
4+ years of experience in data science, data engineering, risk analytics, software engineering, or actuarial environments, preferably in financial services
Experience with cloud platforms (e.g. AWS, Azure, Databricks)
Comfortable working in a version-controlled environment with review processes
Bonus: Proficiency in production-grade Python and modern Python stack technologies
Bonus: Experience with containerisation and deploying machine learning models
Bonus: Experience with Generative AI, specifically using large language models (LLMs) for unstructured data parsing and automated event detection
The Recruitment Process:
TA Interview: This will be a discussion with our Senior Talent Acquisition Specialist to give you an understanding of our business, our culture & values and more context on the role. It will also allow us the opportunity to get to know you more and ensure OMI can meet your career aspirations.
Panel Interview: This will be with 2 members of the Senior Leadership of the Hiring Team and 1 member of the HC Leadership Team.
Technical & Psychometric Assessments: These will depend on the role and will sometimes happen concurrently with Vetting through an external service provider & Internal Verification.
Final Feedback.
All About OMI:
https://www.oldmutual.co.za/about/old-mutual-insure/
Please note that, unfortunately, we cannot accept any applications after the closing date
Skills
Action Planning, Business Requirements Analysis, Computer Literacy, Data Compilation, Data Controls, Data Engineering, Data Management, Data Science, Executing Plans, IT Architecture, IT Network Security, Machine Learning (ML), Policies & Procedures, Risk AnalyticsCompetencies
Business InsightCollaboratesCultivates InnovationDrives ResultsEnsures AccountabilityManages AmbiguityManages ComplexityOptimizes Work ProcessesEducation
Bachelor Commerce: Computer Science And Engineering (Required), NQF Level 7 - Degree, Advance Diploma or Postgraduate Certificate or equivalentClosing Date
13 January 2026 , 23:59The appointment will be made from the designated group in line with the Employment Equity Plan of Old Mutual South Africa and the specific business unit in question.
The Old Mutual Story!