Senior Quantitative Analyst

Communicate Recruitment; Johannesburg; On-site; ZAR 900,000 - 1,400,000; Full time

Job summary

Communicate Recruitment in Johannesburg is seeking an experienced Credit Risk Manager to join a specialist Financial Risk Management team. You will work on complex credit risk models, IFRS 9 and regulatory capital frameworks across the banking and financial services sector.

This role combines technical modelling expertise with project leadership and mentoring, delivering high-impact credit risk engagements for a diverse client base.

Qualifications

• 6+ years of experience in a quantitative Credit Risk role within financial services.
• Experience in Credit Risk Modelling including IFRS 9 and regulatory capital models.
• Strong understanding of contemporary statistical modelling techniques.
• Hands-on coding experience with Python, SAS and/or R.
• Experience managing projects or workstreams from planning through delivery.
• Experience mentoring or coaching junior analysts or modellers.
• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.

Responsibilities

• Develop, validate and review credit risk models for provisioning and regulatory capital purposes.
• Lead and contribute to projects across the planning, execution and close-out lifecycle.
• Design, review and automate financial risk models using modern programming languages.
• Apply advanced statistical and quantitative modelling techniques to solve complex credit risk challenges.
• Collaborate with stakeholders to translate quantitative findings into practical business insights.
• Ensure high-quality project delivery while managing timelines and competing priorities.
• Mentor and coach junior team members, fostering a collaborative and high-performing team culture.
• Contribute to the continuous improvement of modelling methodologies, coding practices and project delivery standards.

Skills

Credit risk modelling

Python

SAS

R

Project management

Mentoring

Communication

Quantitative analysis

Education

Honours or Master's Degree in Quantitative Finance/Math/Statistics

FRM qualification

Tools

Python

SAS

R

Job description

Johannesburg

Are you an experienced Credit Risk professional with a passion for quantitative modelling, IFRS 9, regulatory capital and advanced analytics?

An exciting opportunity is available for a Credit Risk Manager to join a specialist Financial Risk Management team, working on complex credit risk models, regulatory capital frameworks and cutting-edge quantitative solutions across the banking and financial services sector.

The Opportunity

This role is ideal for someone who enjoys combining technical modelling expertise with project leadership and mentoring, while working on high-impact credit risk engagements across a diverse client base.

Key Responsibilities

• Develop, validate and review credit risk models for provisioning and regulatory capital purposes.
• Lead and contribute to projects across the planning, execution and close-out lifecycle.
• Design, review and automate financial risk models using modern programming languages.
• Apply advanced statistical and quantitative modelling techniques to solve complex credit risk challenges.
• Collaborate with stakeholders to translate quantitative findings into practical business insights.
• Ensure high-quality project delivery while managing timelines and competing priorities.
• Mentor and coach junior team members, fostering a collaborative and high-performing team culture.
• Contribute to the continuous improvement of modelling methodologies, coding practices and project delivery standards.

What We're Looking For

• 6+ years' experience in a quantitative Credit Risk role within financial services.
• Strong experience in Credit Risk Modelling, including IFRS 9 and regulatory capital models.
• Solid understanding of contemporary statistical modelling techniques and methodologies.
• Hands-on coding experience with Python, SAS and/or R.
• Strong quantitative and analytical problem-solving ability.
• Experience managing projects or workstreams from planning through delivery.
• Previous experience mentoring or coaching junior analysts or modellers.
• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
• Ability to thrive in a fast-paced environment with multiple priorities and deadlines.

Qualifications

Candidates should ideally have:

• Honours or Master's Degree in Quantitative Finance, Mathematics, Statistics or a related quantitative discipline.
• FRM qualification would be advantageous.

Why Apply?

This is an excellent opportunity to work on complex credit risk, IFRS 9 and regulatory capital projects, gain exposure to advanced modelling techniques, and further develop your leadership and technical expertise within a specialist financial risk environment.