Quantitative Analyst NFR Analytics

REQ 146230 Thembi Mtshali

Location: Johannesburg

Closing Date: 10 June 2026

To design develop and deploy advanced analytical and quantitative solutions that strengthen Non-Financial Risk (NFR) management across the organisation. This includes enabling proactive risk identification measurement monitoring and decision-making across areas such as financial crime analytics (Fraud and Anti Money Laundering) conduct risk and model risk.

The role combines data science quantitative analytics and risk expertise to deliver scalable regulatory-aligned solutions that enhance risk visibility and resilience.

NFR Analytics and Risk Modelling
Develop and maintain robust analytical models and frameworks to quantify and monitor non-financial risks including fraud and financial crime indicators compliance and conduct risks and cyber and data risk metrics.

• Apply advanced statistical and machine learning techniques to identify patterns anomalies and emerging risks and supporting the development of early warning indicators key risk indicators (KRIs) and risk scoring models.
• Perform scenario analysis stress testing and trend analysis to proactively anticipate and manage potential risk exposures.

Data Engineering and Risk Data Management

• Source integrate and prepare both internal and external datasets including incident data control assessments audit findings and transactional signals to support risk analytics initiatives.
• Ensure high standards of data quality completeness and traceability enabling reliable and auditable risk insights.
• Build and structure datasets that are fit for advanced analytics and predictive modelling while collaborating closely with technology teams to support the development and optimisation of scalable risk data pipelines.

Risk Monitoring and Insight Generation

• Continuously monitor key risk indicators to identify emerging trends anomalies and potential areas of concern.
• Translate analytical outputs into clear actionable insights that support risk compliance and broader business stakeholders in informed decision-making.
• Develop and maintain dashboards and visualisations to enable real-time visibility of risk exposure and responding to ad hoc risk analysis requests and supporting investigations as required.

Governance Compliance and Risk Framework Alignment

• Ensure that all analytics activities are fully aligned with internal non-financial risk (NFR) frameworks policies and governance standards.
• Support regulatory compliance by embedding relevant requirementssuch as anti-money laundering (AML) and conduct monitoringinto analytical processes where applicable.
• Comprehensive documentation of models methodologies assumptions and data lineage to meet audit and regulatory expectations while assisting in the timely remediation of findings arising from audit model validation or regulatory reviews.

Business Engagement and Risk Advisory

• Actively engage with risk compliance audit and business teams to understand key risk challenges and translate them into effective data-driven analytical solutions.
• Bridge the gap between technical analysis and risk management decision-making ensuring that insights are both meaningful and actionable.
• Contribute to shaping risk strategy through informed analytical input while supporting risk committees forums and reporting processes.
• Identify opportunities to enhance non-financial risk (NFR) analytics improve control effectiveness and evolve risk frameworks by driving the adoption of advanced analytical techniques such as AI and machine learning for improved risk detection and monitoring
• Stay abreast of emerging NFR trends such as cyber threats and regulatory developments and promoting automation and efficiency in risk reporting and analytical processes.

Innovation and Continuous Improvement

• Identify and drive opportunities to enhance non-financial risk (NFR) analytics improve control effectiveness and strengthen risk frameworks.
• Contribute to the adoption of advanced analytical approaches including artificial intelligence and machine learning to improve risk detection and monitoring capabilities.
• Stay up to date with emerging NFR trends such as evolving cyber threats regulatory developments and advances in conduct risk analytics.
• Promote automation and improve efficiency across risk reporting and analytical processes.

Collaboration and Capability Building

• Effective partnership across cross-functional teams to deliver integrated and impactful risk analytics solutions.
• Active participation in peer reviews and knowledge-sharing initiatives to strengthen the broader analytics community and promote best practices.
• Contribute to building and enhancing the organisations non-financial risk (NFR) analytics capability while supporting the development of talent by mentoring and guiding junior analysts where required.

Bachelors degree in a quantitative or analytical field:

Mathematics Statistics Data Science Computer Science Engineering Actuarial Science or similar

Postgraduate degree or certifications in:

Risk Management (e.g. FRM)

Data Science / Machine Learning

Compliance or Financial Crime Analytics

1 3 years experience in analytics risk or data environments

Exposure to risk management auditing compliance or operational processes is advantageous

Experience with data analysis modelling or research (including academic work)

• Proficiency in:
  • Python SQL (preferred) or R
• Familiarity with:
  • Data visualisation tools (e.g. Power BI Tableau)
  • SAS / VBA / other analytics tools advantageous
• Advanced Excel skills

Strong foundation in:

• • Statistics and probability
  • Machine learning (basic to intermediate)
  • Anomaly detection classification and predictive modelling
• Ability to translate analytical techniques into scalable solutions

• • Data structures and databases
  • Data extraction transformation and validation
  • Risk data aggregation and reporting principles

• Exposure to:
  • Model lifecycle management
  • Validation and monitoring practices
  • Documentation and audit requirements