Group Risk & Analytics Lead

Network Finance; Gauteng; On-site; ZAR 900,000 - 1,300,000; Full time

Job summary

Network Finance seeks an experienced risk analytics professional to lead liquidity stress testing and enterprise risk workstreams. The role blends technical modelling with strategic influence, delivering actionable insights to senior leadership.

You will enhance ALM capabilities, validate IFRS 9 ECL methodologies, and mentor a small Risk & Analytics team while partnering with stakeholders across the business. A postgraduate finance-related degree and strong SQL/Python skills are required.

Qualifications

• Postgraduate qualification in a quantitative or finance-related discipline.
• FRM, CFA, actuarial studies or econometrics are advantageous.
• Strong experience in financial risk, liquidity risk, treasury, or balance sheet risk.

Responsibilities

• Lead the development, maintenance, and enhancement of liquidity stress testing models and related reporting.
• Analyze financial and liquidity risks, monitor risk indicators, and provide actionable recommendations to senior leadership.
• Support asset and liability management, funding strategies, and balance sheet risk analysis.
• Review enterprise risk reporting and evaluate risk trends.
• Challenge IFRS 9 expected credit loss models and validate key assumptions.
• Perform detailed credit risk analysis to support underwriting and profitability initiatives.
• Query large datasets using SQL to validate BI reporting.
• Develop analytical models using Excel, VBA, SQL, Python, and AI-assisted tools.
• Deliver financial analysis and valuation modeling for strategic initiatives.

Skills

SQL

Python

Excel

VBA

Statistical analysis

Financial modeling

Communication skills

Risk management

Education

Postgraduate qualification in quantitative/finance

FRM/CFA advantageous

Tools

SQL

Python

Excel

VBA

Job description

If you thrive on solving complex financial challenges, influencing strategic decisions, and combining technical expertise with commercial thinking, this opportunity offers exceptional exposure across enterprise risk, analytics, treasury, and corporate finance.
Key Responsibilities

• Lead the development, maintenance, and enhancement of liquidity stress testing models and related reporting.
• Analyze financial and liquidity risks, monitor key risk indicators, and provide actionable recommendations to senior leadership.
• Support asset and liability management, funding strategies, and balance sheet risk analysis.
• Review enterprise risk reporting and evaluate operational and financial risk trends across the business.
• Challenge and review IFRS 9 expected credit loss models, investigating significant movements and validating key assumptions.
• Perform detailed credit risk analysis to support underwriting, portfolio performance, and profitability initiatives.
• Query large datasets using SQL to validate business intelligence reporting and management information.
• Develop and maintain analytical models using tools such as Excel, VBA, SQL, Python, and AI-assisted technologies.
• Deliver financial analysis, valuation modeling, and transaction support for strategic business initiatives.
• Prepare executive-level reports that communicate complex analytical findings in a clear and practical manner.
• Collaborate with and mentor a small Risk and Analytics team while supporting continuous technical development.
• Partner with senior stakeholders across the business to provide analytical support for strategic decision-making.

Job Experience and Skills Required

• Postgraduate qualification in a quantitative or finance-related discipline.
• Qualifications such as FRM, CFA, actuarial studies, Financial Risk Management, Statistics, or Econometrics will be highly advantageous.
• Strong experience in financial risk, liquidity risk, treasury, asset and liability management, or balance sheet risk within a financial services environment.
• Exposure to credit risk and IFRS 9 expected credit loss methodologies.
• Advanced quantitative, statistical, and analytical capabilities.
• Strong SQL skills with the ability to independently query and analyze large datasets.
• Experience building analytical and financial models using Excel, VBA, SQL, Python, or similar technologies.
• Strong commercial acumen with exposure to valuation analysis, transaction support, or corporate finance.
• Excellent communication skills with the ability to present technical findings to non-technical stakeholders.
• Highly organized, self-motivated, and able to manage multiple priorities within a fast-paced environment.