Financial Quantitative Analysts

Investment Portfolio Control Consultant

Investment Strategist

Portfolio Manager

Quantitative Analyst

Quantitative Equity Analyst

Quantitative Research Analyst

Quantitative Strategy Analyst

Research Analyst

What is a Financial Quantitative Analyst?

A Financial Quantitative Analyst, often referred to as a "quant," is a professional who uses advanced mathematical and statistical techniques to analyze financial data and develop models to inform investment decisions. These analysts leverage quantitative methods to address complex financial issues, providing insights that can enhance asset management, risk assessment, and trading strategies. They typically work in investment banks, hedge funds, asset management firms, and other financial institutions, applying their expertise in areas such as pricing derivatives, evaluating financial risks, and optimizing portfolios. The role of a quant requires a strong foundation in mathematics, finance, programming, and data analysis, enabling them to design algorithms and simulations that can predict market behavior and optimize trading outcomes.

Job Outlook

Projected salary and job growth

$43510.0 - $139960.0

This career will grow rapidly in the next few years.

Finding local jobs...

Assessment

Related assessments and tests

No assessment available.

Related Occupations

Tasks

Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.
Interpret results of financial analysis procedures.
Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
Define or recommend model specifications or data collection methods.

Technology Skills

Object or component oriented development software
Presentation software
- Microsoft PowerPoint 365
Analytical or scientific software
Development environment software
Data base user interface and query software

Tools Used

Photocopiers
- Photocopying equipment
Scanners
- Computer data input scanners
Mainframe computers
Notebook computers
- Laptop computers
Desktop computers

Knowledge

Mathematics
Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications.
Economics and Accounting
Knowledge of economic and accounting principles and practices, the financial markets, banking, and the analysis and reporting of financial data.
Computers and Electronics
Knowledge of circuit boards, processors, chips, electronic equipment, and computer hardware and software, including applications and programming.
English Language
Knowledge of the structure and content of the English language including the meaning and spelling of words, rules of composition, and grammar.

0 Active Jobs in South Africa

Avg Salary: R49,462pm

How to know if you are ready to be a Financial Quantitative Analyst in South Africa

The financial landscape in South Africa is undergoing a rapid digital transformation, placing Quantitative Analysts (or "Quants") at the very heart of the banking and investment sectors. With 1 active jobs currently available and an average salary of R49,462pm, the demand for high-level mathematical talent is undeniable. Looking at the 2024 trend, where average monthly earnings have climbed from R43,527 in January to a projected R54,408 by December, there has never been a more lucrative or stable time to enter this field.

Is Financial Quantitative Analysis Right for Me? (Psychometric Checklist)

Success in this field requires a unique blend of mathematical rigour and financial intuition. Ask yourself if you possess the following traits:

Mathematical Obsession: Do you find beauty in complex equations and statistical distributions?
Algorithmic Thinking: Can you logically break down a complex financial problem into a step-by-step programmable solution?
Resilience under Pressure: Can you remain calm and analytical when market volatility is high and models are being tested?
Attention to Detail: Do you have the patience to debug code and ensure that every decimal point in a risk model is accurate?
Ethical Integrity: Are you committed to maintaining the highest standards of financial accuracy and transparency?
Curiosity: Do you have an innate drive to understand the "why" behind market movements and economic shifts?

A Day in the Life of a South African Quant

In the South African context, your day typically begins early, aligned with the opening of the Johannesburg Stock Exchange (JSE). Whether you are working for one of the "Big Four" banks in Sandton or a boutique asset manager in Cape Town, your morning might involve monitoring the performance of automated trading algorithms or updating risk models based on overnight global market shifts.

The afternoon is often dedicated to "deep work"—coding in Python, R, or C++ to develop new pricing models for complex derivatives. You will collaborate closely with portfolio managers and risk officers, translating abstract mathematical concepts into actionable business strategies. It is a high-stakes environment where your intellectual output directly influences the movement of billions of Rands, requiring constant focus and a high degree of professional organisation.

Education & Upskilling: The Path to Mastery

To enter this elite tier of the financial sector, a solid academic foundation is non-negotiable. Most South African Quants hold at least an Honours or Master’s degree in a quantitative field such as Actuarial Science, Financial Mathematics, Statistics, or Physics from a reputable university. Degrees from institutions with strong STEM programmes are highly regarded by local recruiters.

However, formal education is merely the starting point. To remain competitive, you should consider:

Professional Certifications: Pursuing the CFA (Chartered Financial Analyst), FRM (Financial Risk Manager), or the globally recognised CQF (Certificate in Quantitative Finance).
Technical Specialisation: Mastering Machine Learning and Artificial Intelligence (AI) through short courses and bootcamps to stay ahead of the automation curve.
Regulatory Knowledge: Staying updated on South African financial regulations, such as Basel III and Solvency II, which dictate how models must be structured.

In this career, continuous learning is the only way to remain relevant. The models that work today may be obsolete tomorrow, meaning your ability to unlearn and relearn is your greatest asset.

Next Steps: Are You Ready?

The transition into Quantitative Analysis is intellectually demanding but offers some of the highest rewards in the South African corporate world. If you have the mathematical prowess and the drive to solve the economy's most complex puzzles, you are already halfway there. Don’t leave your career progression to chance—take the proactive step to validate your skills and see where you stand in today's competitive market. Test your readiness now by completing our professional Quant assessment.

Skills

Mathematics
Using mathematics to solve problems.
Critical Thinking
Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
Reading Comprehension
Understanding written sentences and paragraphs in work-related documents.
Complex Problem Solving
Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
Active Learning
Understanding the implications of new information for both current and future problem-solving and decision-making.

Abilities

Mathematical Reasoning
The ability to choose the right mathematical methods or formulas to solve a problem.
Written Comprehension
The ability to read and understand information and ideas presented in writing.
Deductive Reasoning
The ability to apply general rules to specific problems to produce answers that make sense.
Number Facility
The ability to add, subtract, multiply, or divide quickly and correctly.
Oral Comprehension
The ability to listen to and understand information and ideas presented through spoken words and sentences.

Education

How much education does a new hire need to perform a job in this occupation?

Master's degree

60 %
Bachelor's degree

35 %
Doctoral degree

5 %

Work Activities

Working with Computers
Using computers and computer systems (including hardware and software) to program, write software, set up functions, enter data, or process information.
Analyzing Data or Information
Identifying the underlying principles, reasons, or facts of information by breaking down information or data into separate parts.
Processing Information
Compiling, coding, categorizing, calculating, tabulating, auditing, or verifying information or data.
Getting Information
Observing, receiving, and otherwise obtaining information from all relevant sources.
Making Decisions and Solving Problems
Analyzing information and evaluating results to choose the best solution and solve problems.

Detailed Work Activities

Apply mathematical models of financial or business conditions.
Develop business or financial information systems.
Analyze business or financial data.
Advise others on analytical techniques.
Prepare financial documents, reports, or budgets.

Work Interests

Investigative
Work involves studying and researching non-living objects, living organisms, disease or other forms of impairment, or human behavior. Investigative occupations are often associated with physical, life, medical, or social sciences, and can be found in the fields of humanities, mathematics/statistics, information technology, or health care service.
Conventional
Work involves following procedures and regulations to organize information or data, typically in a business setting. Conventional occupations are often associated with office work, accounting, mathematics/statistics, information technology, finance, or human resources.