Risk & Reporting Analyst

Nedbank; Sandton; On-site; ZAR 700,000 - 950,000; Full time

Job summary

Nedbank in Sandton seeks an expert in data analytics to generate insights for operational risk decision making across the Group. You will lead data discovery, consolidate sources and build risk models to support strategic objectives.

The role requires 3–6 years’ experience in business analysis and risk management, with strong knowledge of SAS and data governance. This on-site role offers opportunities to drive risk improvements within Group Finance.

Qualifications

• Matric/Grade 12 or equivalent is required.
• Advanced Diploma or National First Degree preferred.
• BCom in Computer Science / Data Science / Risk Management or related field preferred.

Responsibilities

• Lead data discovery and consolidate data from different sources.
• Ensure compliance with IT and data risk management procedures when handling data.
• Apply analytics to market trends, economic indicators, and regulatory changes to identify operational risks.
• Evaluate risks from data trends and propose mitigation strategies.
• Model and simulate risk scenarios to assess impact on risk profile.
• Build and maintain risk models to support decision making.
• Align deliverables with business strategy and values.
• Drive improvements in risk management processes, systems and methodologies.
• Create multifaceted reports per internal policies and external requirements, including operational sub-risk insights.
• Provide actionable insights to enhance risk management strategies.
• Present reports at governance committees and regulatory meetings.
• Submit operational risk reports to regulators in compliance with laws.

Skills

Business analysis

Risk management

Data analytics

Data processing

Governance & Risk

Research methodology

Data management

Decision making

Monitoring information

Quality orientation

Innovation

Education

Matric / Grade 12 / National Senior Certificate

Advanced Diplomas / National 1st Degrees

BCom Computer Science / Data Science / Risk Management

Tools

SAS

Job description

Requisition Details and Talent Acquisition Contact

Cluster: Group Finance - GROUP PROCUREMENT COE

Job Family

Risk, Audit and Compliance

Operational Risk

Manage Self: Expert (MSE)

Job Purpose

To use advanced data analytics techniques to generate reports that provide value-adding insights for business, strategic and operational risk decision making across the Group to achieve its strategic objectives and gain a competitive advantage.

Job Responsibilities

• Lead the data discovery processes; and collaborate with key stakeholders to consolidate data from different sources.
• Ensure compliance with information technology and data risk management procedures when managing, analysing, and transferring data.
• Use relevant analytics software and techniques to analyse data related to market trends, economic indicators, and regulatory changes to identify potential operational risks.
• Evaluate potential operational risks from data trend analysis and propose mitigation strategies.
• Analyse and model potential operational risk scenarios to assess their impact on the Group's risk profile.
• Build and maintain risk models to support decision making and risk quantification.
• Review enterprise and cluster plans and ensure the delivered process, services and solutions are aligned to support the achievement of the business strategy, objectives and values.
• Drive initiatives to enhance risk management processes, systems, and methodologies based on data driven trends and industry best practices.
• Create multifaceted reports in accordance with internal Group policies/ frameworks; and external reporting requirements, including insights which span operational sub-risk types.
• Provide actionable insights and recommendations based on risk analysis to enhance operational risk management strategies.
• Present reports developed at ad hoc governance committees and regulatory meetings.
• Ensure submission of operational risk-related reports to regulatory bodies, in compliance with applicable laws and regulations

Stakeholder Engagement:

• Build and maintain collaborative relationships with key stakeholders.
• Foster communication and collaboration with the internal team to ensure a comprehensive understanding of risk concerns and priorities.
• Incorporate feedback from stakeholders into reports to enhance the accuracy and relevance of risk analysis.

Essential Qualifications - NQF Level

• Matric / Grade 12 / National Senior Certificate
• Advanced Diplomas/National 1st Degrees

Preferred Qualification

• BCom Computer Science/ Data Science/ Risk Management or related qualifications

Minimum Experience Level

• 3 - 6 years
• Business analysis and risk management

Technical / Professional Knowledge

• Data processing and management systems like SAS
• Governance, Risk and Controls
• Research methodology
• Data analytics and management
• Financial and risk regulations including BASEL standards
• Decision Making
• Managing Work
• Monitoring Information
• Quality Orientation
• Innovation: A visionary who shapes the future and who pioneers new solutions.