202 Quantitative Analyst jobs in South Africa

Reference: NFP -SHb-1

Are you passionate about data analysis and risk management? Do you thrive in a dynamic environment where your analytical skills can make a real impact? Join a leading professional services firm and be part of a team dedicated to driving innovation and excellence in risk management.

We are currently seeking a talented Quantitative Analyst to join our team. In this role, you will play a key role in analyzing credit risk data, developing models, and providing insights to help our clients make informed decisions.

1. Bachelor's degree in Mathematics, Statistics, Finance, Economics, or a related field.
2. Master's degree or PhD preferred.
3. Minimum of 3 years of experience in credit risk analysis or quantitative modeling.
4. Proficiency in statistical software (e.g., R, Python, SAS) and database querying languages (e.g., SQL).
5. Strong analytical and problem-solving skills.
6. Excellent communication and teamwork abilities.

Apply now!

If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.

For more information contact:
Shaunaline Baatjies
Specialist Consultant: Actuarial & Analytics

Here is the change to lead an impairments team and add insight into the credit risk space.

This is a leading consultancy with a global footprint. This company offers multinational professional services and is one of the big 4 consultancies in South Africa. They have a culture which celebrates success and outstanding performances.

You will form part of the team responsible for the impairment and capital models such as PD, LGD and EAD models and using IFRS9 standards. You will be leading a team of specialists and providing insight into the credit strategies of banks and companies. You have the chance to make a difference by providing input to the credit models.

• Degree or Honours in a statistical, mathematical or actuarial field

• 3-8 years credit risk experience.
• Credit risk model development or validating or auditing experience.
• Model development or validating or auditing experience in impairment models including PD, LGD, EAD and IFRS9 model building experience.
• Economic capital model development.
• Experience with SAS.

Apply now!

If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles/positions.

For more information contact:
Alet Slabber
Specialist Consultant: Actuary and credit risk

Within the investment team of a growing financial services organisation. The role requires an individual with strong skills and relevant industry experience in systems and data, and excellent quantitative skills. The individual will be the custodian of the investment team's data, will liaise with the Business Analyst team to improve the front office data management, and will ultimately use the extensive investment databases to help improve the investment processes, identify new investment ideas, and improve portfolio construction and risk management.

• Review and document all data collection, storage, and usage of data within the investment team.
• Liaise with the Business Analyst team on new system implementations, including the Order Management System and Data Centralisation initiatives.
• Manage data within the investment team, improving collection, storage and retrieval. Look for opportunities to upgrade and streamline existing processes or create new enhanced processes.
• Look for opportunities to leverage the investment team’s data to identify new investment ideas, enhance the investment process, and improve portfolio construction and risk management.
• Take ownership of existing portfolio analysis tools (including iMaps and Bloomberg), constantly looking to provide incrementally better portfolio and risk analytics to the portfolio managers.
• Liaise with the Business Analyst team and Sales/Marketing to understand investment team relevant data collected and maintained outside the investment team (analysis of portfolio trades, Statpro reports of attribution/contribution etc) and ensure this data is available in the appropriate format as and when required.

• Relevant degree (IT systems, Data Analysis or Mathematical qualification).
• Interest in leveraging systems, data and quantitative skills to add value to asset management clients through improved risk-adjusted returns.
• Experience within the asset management industry (could be in the investment team or in IT/business development).
• SQL skills that allow for exploration and analysis of data.
• Excellent numeracy skills with the ability to reconcile and track data across systems over time.
• Solid understanding of databases and ability to analyse data.

Overview

Sygnia Asset Management is an innovative FinTech company based in South Africa and listed on the main board of the JSE. We are looking for a Quantitative Analyst to join our dynamic team. The key focus of the position is performance calculations, reporting, presentations with the opportunity to gain exposure to broader quantitative and investment related topics.

• Report to Head of Quants
• Identify and Implement automation ideas to improve efficiency of team
• Monitoring portfolio asset class allocations
• Calculation and verification of performance and management fees
• Portfolio and investment related quants research
• Gathering, verification and preparation of data
• Calculation of TICs/TERs
• Preparation of monthly and quarterly Fund and Client reporting, including, but not limited to, Investment Analysis Reports and Fund Fact Sheets
• Preparation of Presentations
• Completing Surveys
• Updating, maintaining and automating various reporting processes as required
• Performing controls and resolving all discrepancies
• Assisting with clients/internal requests
• Validating portfolio and benchmark returns

• Strong MS Excel skills
• BSc (with commerce subjects)/ BBusSci/ BCom as a minimum qualification. Mathematical Sciences, CFA candidates and programming experience are advantageous
• A minimum of 2 years within a quantitative role,

• Strong analytical and numerical skills
• Attention to detail and deadline driven
• Strong Communication skills
• Sound work ethic
• Takes responsibility and accountability for assigned duties
• Proactive
• Ability to effectively operate in a team setting

• Work on high-impact, high-visibility credit risk projects
• Exposure to cloud computing, machine learning, and AI in real applications
• Hybrid work flexibility in a collaborative, agile team
• Opportunities for rapid career development in a fast-growing environment

• Develop, refine, and validate credit risk models (PD, LGD, EAD, SICR, and ECL) across the credit lifecycle
• Deliver modelling and analytics support to clients in line with IFRS 9 and Basel requirements
• Create back-testing tools, diagnostics, and transformation pipelines
• Communicate technical insights and model outcomes clearly to clients and stakeholders

• Education: Honours Degree or higher in a quantitative field (Mathematics, Statistics, Engineering, Actuarial Science, Applied Mathematics, etc.)
• Experience:
  
  • 13 years of experience in credit risk modelling (with at least 3 years total work experience preferred)
  • Practical experience with regulatory modelling (IFRS 9/Basel)
• Skills:
  
  • Proficiency in SAS and/or SQL (Python is a strong advantage)
  • Comfortable with Excel, PowerPoint, and Word
  • Exposure to cloud computing environments (advantageous)
• Soft Skills:
  
  • Strong analytical and communication skills
  • Team player with a proactive attitude and ability to simplify complex ideas
  • Able to thrive under pressure and meet deadlines

*Requisition Details & Talent Acquisition Consultant *
REQ Thembi Mtshali

Location: Johannesburg

Closing Date: 1 September

Job Family
Investment Banking

Career Stream
Quantitative

Leadership Pipeline
Manage Self: Professional

Job Purpose
To contribute to the development and maintenance of best practice models and assessment strategies in line with regulations (where applicable) in order to facilitate world class risk management.

*Job Responsibilities *

• Build and formally present various risk models, including but not limited to forecasting and stress testing models using various quantitative modelling techniques, including statistical inference and machine learning.
• Ensure continuity and knowledge base through documenting and recording processes and models.
• Monitoring of business risk performance within the set risk appetite through analysis.
• Manage client expectations by liaising with stakeholders through the model build process as well as the systems and strategy development process.
• Increase efficiencies through programming and automating processes.
• Enhance business efficiencies and ensure compliance through formal communications and interacting with external bodies.
• Challenge model builds from around the cluster through peer review participation and ensuring best practice.
• Take corrective action where risk is identified in any processes; models or reporting; through analysis and formal communication.
• Assist the business to address queries by extracting and analysing data. Perform ad-hoc analysis and complete data requests through monitoring of data as per client specification.
• Improve personal capability and stay abreast of developments in field of expertise by identifying training courses and career progression for self through input and feedback from managers.
• Ensure personal growth and enable effectiveness in performance of roles and responsibilities by ensuring all learning activities are completed; experience practiced and certifications obtained and/or maintained within specified time frames.
• Enable skilling and required corrective action to take place by sharing knowledge and industry trends with team and stakeholders during formal and informal interaction
• Contribute to a culture conducive to the achievement of transformation goals by participating in Nedbank Culture building initiatives (e.g. staff surveys etc).

Essential Qualifications
Degree in Statistics, Mathematics or equivalent

Preferred Qualification
Post graduate degree in Statistics/Mathematics, CFA/ FRM/CQF

Minimum Experience Level

• 1-2 years relevant experience in an analytical environment

Types Of Exposures

• Analysing and interpreting quantitative and qualitative data
• Statistical inference and machine learning model development and validation
• Developing ways to minimize risks
• Influencing stakeholders to obtain buy-in for concepts and ideas
• Sharing information in different ways to increase stakeholders understanding
• Working with a group to identify alternative solutions to a problem
• Interacting with diverse people
• Building and maintaining effective relationships with internal and external stakeholders
• Managing multiple projects

*Technical / Professional Knowledge *

• Business Acumen
• Industry trends
• Microsoft Office
• Principles of project management
• Relevant regulatory knowledge
• Relevant software and systems knowledge
• Risk management process and frameworks
• Business writing skills
• Microsoft Excel
• Quantitative Skills

Behavioural Competencies

• Adaptability
• Applied Learning
• Earning Trust
• Communication
• Stress Tolerance
• Driving for results
• Continuous Improvement
• Technical/Professional Knowledge and Skills

*Disclaimer
Preference Recruiting Team at will be given to candidates from the underrepresented groups
Please contact the Nedbank.
Please contact the Nedbank Recruiting Team at *

Sygnia Asset Management is an innovative FinTech company based in South Africa and listed on the main board of the JSE. We are looking for a Quantitative Analyst to join our dynamic team. The key focus of the position is performance calculations, reporting, presentations with the opportunity to gain exposure to broader quantitative and investment related topics.

DUTIES AND RESPONSIBILITIES INCLUDE (BUT NOT LIMITED TO):

• Report to Head of Quants
• Identify and Implement automation ideas to improve efficiency of team
• Monitoring portfolio asset class allocations
• Calculation and verification of performance and management fees
• Portfolio and investment related quants research
• Gathering, verification and preparation of data
• Calculation of TICs/TERs
• Preparation of monthly and quarterly Fund and Client reporting, including, but not limited to, Investment Analysis Reports and Fund Fact Sheets
• Preparation of Presentations
• Completing Surveys
• Updating, maintaining and automating various reporting processes as required
• Performing controls and resolving all discrepancies
• Assisting with clients/internal requests
• Validating portfolio and benchmark returns

ROLE QUALIFICATIONS AND EXPERIENCE:

• Strong MS Excel skills
• BSc (with commerce subjects)/ BBusSci/ BCom as a minimum qualification. Mathematical Sciences, CFA candidates and programming experience are advantageous
• A minimum of 2 years within a quantitative role,

CORE COMPETENCIES REQUIRED:

• Strong analytical and numerical skills
• Attention to detail and deadline driven
• Strong Communication skills
• Sound work ethic
• Takes responsibility and accountability for assigned duties
• Proactive
• Ability to effectively operate in a team setting

Requisition Details & Talent Acquisition Consultant

REQ Thembi Mtshali

Location: Johannesburg

Closing date: 10 October 2025

Job Family

Investment Banking

Career Stream

Quantitative

Leadership Pipeline

Manage Self: Professional

Job Purpose

The validation of the models used for the calculation regulatory and economic capital as well as credit impairments and the rating processes. This is to contribute to the goal of best practice models in line with regulations and accounting standards (where applicable) in order to facilitate world class risk management.

Job Responsibilities

The role provides in-depth exposure to the bank's credit risk measurement models used for the calculation of regulatory and economic capital, as well as credit impairments. Your work will be focused on Retail credit models and you will be required to interact with senior modellers on a regular basis. The role offers high visibility as analyses and reports will be tabled at board level committees, the South African Reserve Bank (SARB) and the bank's internal and external auditors.

The validation function assures the Board, the external auditors of the bank and SARB of the high standard and regulatory compliance of the credit risk models, the rating processes and IFRS 9 impairment models. You will be required to provide constructive challenge to business and recommend improvements to models as a subject matter technical expert.

The ideal candidate will blend excellent communication, report writing, project management and general credit knowledge with solid technical expertise. Developing challenger models, assisting Nedbank to optimise the number of credit models, and developing your business knowledge will take the team to the next level.

Your analyses and reports are presented at Nedbank Group Board committees, the SARB and the bank's internal and external auditors offering high visibility across the organisation. The divisional culture emphasises development, especially of leadership and behavioural skills, as well as embracing psychological safety. The team will focus on automation, machine learning and expansion into new areas such as credit risk loss forecasting, credit stress testing and anti-money laundering during the medium term. This provides opportunities for development and establishing an organisation wide reputation for the ambitious candidate.

Job Responsibilities Continue

Deliverables

• Quantitative and qualitative validation of credit risk models and data, together with the application thereof.
• Provide input/assistance in the build and refinement of credit risk models within the business clusters.
• Independent development of models to assess potential for improvement on existing ones.
• Keeping abreast with emerging regulatory requirements and modelling techniques in order to fulfil the role as a subject matter expert. Conduct research into model development and validation best practice. Independently develop alternate PD, LGD, EAD models to that currently in use
• Liaising with the business, credit, and senior modellers to ensure that the validation process and feedback are optimised. Preparing and presenting reports to senior management.
• Facilitate improvement in credit risk models and processes.
• Knowledge sharing, research and mentoring of junior staff members and graduates, including skill transfer.
• Document work performed and findings of validations. Prepare balanced and objective written communications to various stakeholders, including SARB, the external auditors of the bank and the Board.
  
  Assisting management with various ad‐hoc tasks, reports, specific deep dives, SARB communication and analysis.

Preferred Qualification

• Honours degree in Statistics/Mathematics/Econometrics/Finance/Actuarial Science or related quantitative discipline.

Minimum Experience Level

• 1 + year Experience in Retail risk modelling, validation or credit management environment – with a strong preference for AIRB or IFRS 9 modelling.

Technical / Professional Knowledge

• Business Acumen
• Industry trends
• Microsoft Office
• Principles of project management
• Relevant regulatory knowledge
• Relevant software and systems knowledge
• Risk management process and frameworks
• Business writing skills
• Microsoft Excel
• Quantitative Skills

Behavioural Competencies

• Adaptability
• Applied Learning
• Earning Trust
• Communication
• Stress Tolerance
• Driving for results
• Continuous Improvement
• Technical/Professional Knowledge and Skills

Declaimer

Preference Recruiting Team at will be given to candidates from the underrepresented groups

Please contact the Nedbank.

-

Please contact the Nedbank Recruiting Team