Credit Risk Solutions Manager

Edge Executive Search Group; Johannesburg; On-site; ZAR 600,000 - 900,000; Full time

Job summary

A leading company is seeking a Credit Risk Solutions Manager to develop and audit advanced statistical models for credit risk measurement and regulatory compliance. This role involves collaborating with Associate Directors and mentoring junior analysts while applying expertise in Python, R, and SAS. The ideal candidate will possess a quantitative degree and significant experience in credit risk modelling, ensuring high-quality deliverables and strong client relationships.

Benefits

Supportive team culture

Opportunities for mentorship and professional development

Exposure to complex credit risk environments

Qualifications

• Minimum of 3 years of hands-on credit risk modelling experience.
• Proven ability to code in Python, R, or SAS.
• Experience mentoring junior staff.

Responsibilities

• Develop and validate credit risk models for provisioning and regulatory capital.
• Code and automate financial risk models using Python, R, or SAS.
• Support project lifecycles from budgeting to execution.

Skills

Statistical methods

Programming in Python

Programming in R

Programming in SAS

Statistical techniques

Education

Honours or Master’s degree in a quantitative field

Job description

As a Credit Risk Solutions Manager , you’ll play a critical part in the development, review, and audit of advanced statistical models that underpin credit risk measurement, IFRS 9 provisioning, and regulatory capital assessments. You will support high-profile clients ranging from emerging credit providers to globally systemically important banks.

You’ll also collaborate closely with Associate Directors to plan, manage, and quality?control modelling engagements—while mentoring junior team members and applying your expertise in Python, R, or SAS to build innovative, automated solutions.

What You’ll Lead

• Develop and validate credit risk models for provisioning and regulatory capital.
• Code and automate financial risk models using modern languages (Python, R, SAS).
• Support project lifecycles—from budgeting to execution and close-out.
• Interpret and apply statistical techniques to meet evolving regulatory requirements.
• Present technical findings in a clear, client-ready format.
• Contribute to a high-performance culture by mentoring junior analysts.
• Help foster a coaching environment that promotes collaboration and open feedback.

What You Bring

• Honours or Master’s degree in a quantitative field (e.g. Quantitative Finance, Statistics, Mathematics, or equivalent).
• Minimum of 3 years of hands-on credit risk modelling experience.
• Strong knowledge of statistical methods and contemporary modelling techniques.
• Proven ability to code in Python, R, or SAS.
• Track record in managing projects or workstreams in a consulting or banking environment.
• Excellent organisational, communication, and stakeholder engagement skills.
• Experience mentoring junior staff and working in fast-paced, multi-stakeholder settings.

What Success Looks Like

• High-quality models built and validated on time and in line with client needs.
• Junior team members grow under your guidance and technical coaching.
• Strong client relationships and repeat business through trusted delivery.
• Projects completed within scope, budget, and quality parameters.
• Code that’s efficient, documented, and scalable.

What Awaits You

• A dynamic role at the frontier of financial modelling and advisory.
• Exposure to complex credit risk environments and global modelling practices.
• A supportive team culture focused on mentorship and continuous improvement.
• Opportunities to work across financial institutions of every scale—from startups to systemic banks.