Head of Risk & Analytics — Liquidity & Finance

Network Finance; Wes-Kaap; On-site; ZAR 900,000 - 1,500,000; Full time

Job summary

Network Finance in South Africa seeks a senior risk and analytics professional to lead liquidity stress testing, enterprise risk, and balance sheet analysis, combining modelling with commercial insight to influence strategic decisions.

You will mentor a small Risk and Analytics team, partner with senior stakeholders, and deliver actionable insights using SQL, Excel, Python, and VBA, with IFRS9 ECL methodologies and treasury expertise highly valued.

Qualifications

• Postgraduate qualification in a quantitative or finance-related discipline.
• FRM, CFA, Actuarial studies, Financial Risk Management, Statistics or Econometrics qualifications are advantageous.
• Strong experience in financial risk, liquidity risk, treasury, asset and liability management, or balance sheet risk within financial services.

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 IFRS 9 expected credit loss models and validate key assumptions.

Skills

SQL

Liquidity risk

Python

Excel

VBA

IFRS 9

Risk analytics

Communication

Education

Postgraduate qualification in quantitative/finance

FRM / CFA / Actuarial studies (advantage)

Tools

Excel

VBA

Python

Job description

Network Finance in South Africa seeks a senior risk and analytics professional to lead liquidity stress testing, enterprise risk, and balance sheet analysis, combining modelling with commercial insight to influence strategic decisions.

You will mentor a small Risk and Analytics team, partner with senior stakeholders, and deliver actionable insights using SQL, Excel, Python, and VBA, with IFRS9 ECL methodologies and treasury expertise highly valued.