SAS Risk / Quant Analyst (Contractor)

SUMMARY:
Specialist credit risk analytics role requiring deep SAS expertise

POSITION INFO:

• • SAS Risk / Quant Analyst (Contractor)
    Specialist credit risk analytics role requiring deep SAS expertise
    Johannesburg | Contract | R80 000 – R100 000

    About Our Client
    Our client operates within a structured financial and consulting environment, supporting organisations with advanced analytics and risk-focused decisioning. The business is known for delivering specialist expertise rather than generalist solutions, particularly within credit risk and financial analytics. This role offers the opportunity to work on complex, high-impact risk initiatives in a professional consulting setting.

    The Role: SAS Risk / Quant Analyst (Contractor)
    This role focuses on delivering specialised credit risk analytics rather than broad data science outputs. The successful contractor will apply advanced SAS programming skills and deep credit risk knowledge to support risk modelling, portfolio analysis, and strategic risk decision-making. The position sits at the intersection of technical analytics and business-aligned risk strategy.

    Key Responsibilities

    • Develop and maintain credit risk models using SAS to support risk and business decision-making

    • Perform advanced data extraction, manipulation, and statistical analysis using SAS

    • Analyse large credit datasets to identify trends in portfolio performance and risk exposure

    • Monitor credit risk metrics and contribute to risk strategy refinement

    • Translate complex analytical findings into clear, actionable credit risk insights

    • Collaborate with stakeholders to ensure risk outputs align with organisational and regulatory requirements

    About You

    • Advanced, hands-on SAS programming experience for credit risk analytics

    • Proven experience in credit risk modelling, portfolio monitoring, or regulatory risk reporting

    • Strong understanding of credit life cycles and risk mitigation strategies

    • Highly analytical mindset with the ability to move beyond generic data science approaches

    • Experience working in structured financial, consulting, or banking environments

    • Ability to communicate technical risk insights clearly to non-technical stakeholders