Credit Risk Manager

Communicate Recruitment; Durban; On-site; ZAR 40 000 - 80 000; Full time

Job summary

An established industry player is seeking a skilled professional to lead the development of innovative credit risk models. This role focuses on enhancing IFRS 9 impairment frameworks and conducting comprehensive risk assessments. You will collaborate with cross-functional teams to implement data-driven strategies that optimize pricing and ensure regulatory compliance. If you have a strong background in quantitative finance and a knack for transforming complex data into actionable insights, this position offers an exciting opportunity to make a significant impact in the financial sector.

Qualifications

• Proven experience in credit risk or quantitative finance, ideally in financial services.
• Expertise in IFRS 9 impairment modeling and ECL methodologies.

Responsibilities

• Drive development of next-gen credit risk models and oversee risk assessment.
• Collaborate with teams to implement solutions enhancing business performance.

Skills

Credit Risk Assessment

Quantitative Finance

IFRS 9 Impairment Modeling

ECL Methodologies

Credit Pricing

Data Analysis

Python

R

SAS

SQL

Education

Degree in Actuarial Sciences

Degree in Quantitative Analytics

Degree in Statistics

Degree in Mathematics

Tools

Python

R

SAS

SQL

Job description

Drive the development and enhancement of next-gen credit risk models, with a focus on IFRS 9 impairment frameworks.

Own the full cycle of risk assessment: from portfolio analysis and stress testing to scenario modeling, ensuring comprehensive oversight.

Support pricing strategies by aligning them with market trends, risk appetite, and customer value to optimize decision-making.

Collaborate with data science, finance, and strategy teams to implement innovative solutions that enhance business performance.

Ensure compliance with regulatory requirements and internal governance standards to maintain operational integrity.

Skills & Experience :

What You Need to Succeed :

Proven experience in credit risk or quantitative finance, ideally within financial services or the fintech sector.

Expertise in IFRS 9 impairment modeling and ECL methodologies, with an in-depth understanding of the subject matter.

Strong background in credit pricing, utilizing risk-based pricing models to drive performance across various products.

Proficiency in analytical tools such as Python, R, SAS, or SQL, which are essential for data analysis and modeling.

Ability to communicate complex data insights effectively to both technical and non-technical stakeholders.

Qualification :

A degree in Actuarial Sciences, Quantitative Analytics, or a related field such as Statistics or Mathematics.