Your mathematics is a career asset.
The question is which one.

Quantitative Analyst

Building pricing models for derivatives, stress-testing portfolios, and writing Python/R scripts that trade millions of rands per second.

Actuary

Designing medical aid pricing that is profitable for a 5-year horizon, modelling pandemic risk, and communicating statistical findings to executives who don't know what a standard deviation is.

Data Scientist

Training machine learning models to detect fraudulent transactions, presenting insights from 50 million customer records, and arguing with engineers about whether 94% accuracy is good enough.

Machine Learning Engineer

Optimising neural network architectures for real-time speech recognition, debugging gradient descent failures at 2am, and making things that were impossible five years ago run on a mobile phone.

Financial Engineer

Structuring hedge products for institutional investors, running Monte Carlo simulations on commodity futures, and explaining Black-Scholes to people who definitely should know it by now.

Software Engineer

Architecting the API layer for a fintech product used by 4 million people, reviewing pull requests, and occasionally being right about why the build broke.

Risk Analyst

Building credit scoring models, reporting on market risk exposure, and spending more time in spreadsheets than should be legally allowed.

Statistician

Analysing the national census, producing poverty statistics that appear in parliamentary debates, and explaining p-values to journalists who will misquote you.

Computational Scientist

Running climate simulations on the CHPC supercomputer, publishing papers nobody will read until 20 years later when the findings matter enormously.

Aerospace Modelling Specialist

Simulating the aerodynamics of an unmanned aerial vehicle, checking whether the wings will survive a 6g manoeuvre, and occasionally being the only person in the room who can answer the question.

Cryptography Specialist

Designing the elliptic curve parameters that protect South Africa's tax authority from nation-state attacks, and occasionally wondering if anyone else on the team actually knows modular arithmetic.

Quantitative Trader

Back-testing a mean-reversion strategy on JSE equities, arguing with the risk team about Sharpe ratios, and occasionally making more money in an afternoon than most people make in a year.