Quantitative Risk Analyst

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 Quantitative Risk Analyst, 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:

• Building end-to-end solutions that automate the validation and benchmarking of insurance models and monitor risk exposure, such as:

• Development and maintenance of statistical and machine learning models to assess credit, market, operational, and emerging risks

• Building predictive models for early warning indicators of risk events

• Designing LLM-based agents to parse regulatory changes and using graph theory for fraud network detection

• Finding insights from 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 & Experience required:
Bachelor's degree in one of the following (or equivalent experience):

• Data Science
• Statistics
• Actuarial Science
• Engineering
• Physics
• Mathematics / Applied Mathematics
• Advantages – Risk Management
• 4+ years of experience in actuarial science, data science, quantitative risk preferably in within financial services
• Strong proficiency in Python for statistical modelling
• Comfortable working in a version-controlled environment with review processes
• Experience working with SQL and large datasets
• Bonus: Progress toward Actuarial qualification (or equivalent statistical masters)
• 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:

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 Management, Datasets, Executing Plans, IT Architecture, IT Network Security, Language Models, Policies & Procedures, Predictive Modeling, Statistical Models

Competencies
Business Insight

Collaborates

Cultivates Innovation

Drives Results

Ensures Accountability

Manages Ambiguity

Manages Complexity

Optimizes Work Processes

Education
Bachelor of Commerce (BCom): Computer Science And Engineering (Required), NQF Level 7 - Degree, Advance Diploma or Postgraduate Certificate or equivalent

Closing Date
13 January 2026 , 23:59

The 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.
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