Credit Risk Analyst

Talent Candey; Wes-Kaap; On-site; ZAR 600,000 - 1,100,000; Full time

Job summary

Talent Candey is seeking a skilled Credit Risk Analyst for a Banking client in Somerset West, CT. The role focuses on building and validating foundational credit risk models across the lifecycle, including IFRS 9 provisioning and risk‑based pricing, in a fast-paced environment.

Candidates should have 5+ years in credit risk or data science, strong SAS/SQL/Python or R skills, and experience with data visualization tools such as Power BI, Looker, or Tableau.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Actuarial Science, Economics, Engineering, or related quantitative field.
• Postgraduate degree is advantageous.
• 5+ years in Credit Risk, Quantitative Analyst, or Data Science in banking/financial services, in a team-leader capacity.
• Strong programming skills in SAS, SQL, Python or R for analysis and modelling (SAS preferred).
• Strong SQL for data manipulation and querying.
• Experience building/predictive models: credit decisioning, affordability, behavioural scorecards.
• Experience with data viz tools such as Power BI, Looker, or Tableau.
• Behavioural competencies: proactive, analytical, communicative, owner mindset.

Responsibilities

• Develop, validate, and monitor credit‑granting and account management models (scorecards, affordability, etc.).
• Implement quantitative models for affordability assessments complying with NCA.
• Develop, validate, and maintain IFRS 9 models for ECL (PD, LGD, EAD).
• Establish SICR criteria and integrate forward‑looking information into provisioning.
• Develop and monitor risk‑based pricing models for new credit products.
• Produce analytics and monitoring packs for senior management and regulators; support governance and validation.

Skills

SAS

SQL

Python

R

Credit risk modelling

Data visualization

Education

Bachelor’s degree in a quantitative field

Postgraduate degree advantageous

Tools

Power BI

Looker

Tableau

Job description

Credit Risk Analyst - Banking Industry - Somerset West, CT

Our Banking Client is currently looking for a Credit Risk Analyst based in Somerset West, CT

Job Objective

The company is seeking a quantitative Credit Risk Analyst to establish and grow its credit risk modelling, provisioning, and pricing capability. This role will be key in building, validating, and monitoring the foundational models across the credit lifecycle. This includes the credit risk & affordability assessment models, IFRS 9 provisioning framework, and risk-based pricing models. The role ensures all models are robust, predictive, and compliant with standards from the Prudential Authority (PA) and external auditors. As a Greenfield initiative, it requires someone who thrives in building complex models, working with rich data from the wider organisation, and driving risk-led decision-making in a fast-paced and ambiguous environment.

REQUIREMENTS

• Bachelor's degree in Statistics, Mathematics, Actuarial Science, Economics, Engineering, or a related quantitative field.
• A postgraduate degree is advantageous
• 5+ years' experience in a Credit Risk, Quantitative Analyst, or Data Science role, preferably within the financial services or banking sector, in a Team leader capacity.
• Strong programming skills in SAS, SQL, Python or R for statistical analysis and modelling (SAS experience is preferred).
• Strong SQL knowledge for data manipulation and querying.
• Demonstrable experience in building and validating predictive models in one or more of the following areas:
• Credit decisioning models: (e.g., Application scorecards, affordability models, behavioural scorecards).
• Risk-based pricing models
• Experience with data visualisation tools like Power BI, Looker, or Tableau.
• Behavioural competencies: Proactive and adaptable, with excellent analytical and problem‑solving skills, strong communication abilities to present complex data simply, and a high sense of ownership, initiative, and innovation in fast-paced, start‑up environments.

KEY RESPONSIBILITIES

This role works across the full spectrum of credit risk quantification.

Credit decisioning & affordability models

• Develop, validate, and monitor credit‑granting and account management models and strategies (including but not limited to application scorecards, behavioural scorecards, and cut‑off strategies).
• Develop and implement quantitative models to support affordability assessments, ensuring compliance with the National Credit Act (NCA).

IFRS 9 provisioning models

• Develop, validate, and maintain core IFRS 9 models for Expected Credit Loss (ECL) calculation, including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD).
• Establish and monitor Significant Increase in Credit Risk (SICR) criteria for the staging of assets (Stage 1, 2, and 3).
• Integrate forward‑looking information (FLI) and macroeconomic scenarios into the ECL provisioning framework.

Credit pricing & profitability

• Develop, implement, and monitor risk‑based pricing models for new credit products to ensure risk‑adjusted profitability.
• Conduct credit profitability analysis on the portfolio to identify trends, risks, and opportunities.

Forecasting, reporting & analytics

• Support the budgeting and forecasting process for credit‑related items, including bad debt provisions and risk‑based revenue.
• Produce analytics and monitoring packs for senior management and regulatory stakeholders.
• Contribute to best practices for model governance, documentation, and validation that meet the standards of the South African Reserve Bank (SARB) and external auditors.