Strategic Head, Non-Bank Alm Risk & Modelling

Fnbnamibia; Johannesburg; On-site; ZAR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Medical aid

Provident fund

Professional development

Job summary

Senior Quantitative Analyst in Johannesburg, South Africa, to join a leading financial institution's Financial Risk Modeling team. You will develop and validate advanced models for credit, market, and operational risk, back-test, and ensure Basel IFRS compliance while supporting strategic decisions with rigorous analysis.

The role requires a PhD or Master’s in a quantitative field, 6+ years in banking, strong Python/R/C++/Java and SQL skills, and excellent communication for presenting to senior

Qualifications

• Master's degree or Ph.D. in Quantitative Finance, Mathematics, Statistics, Physics, or related field.
• Minimum of 6 years of experience in quantitative analysis within banking/financial services.
• Proven expertise in developing and validating credit risk, market risk, or operational risk models.
• Strong programming skills in Python, R, C++, or Java.
• Proficiency with data manipulation and database querying (SQL).
• Familiarity with Basel III/IV, IFRS 9 and regulatory frameworks.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Develop, validate, and implement quantitative models for financial risk assessment (credit, market, operational).
• Perform complex statistical analysis and back-testing of models.
• Ensure regulatory compliance (Basel III/IV, IFRS 9).
• Collaborate with business units to translate risk needs into quantitative solutions.
• Prepare detailed documentation of models, methodologies, and assumptions.
• Present analytical findings to senior management and regulators.
• Mentor junior analysts and contribute to team development.
• Monitor model performance and recalibrate as needed.
• Stay updated with industry trends and regulatory changes.

Skills

Python

R

C++

Java

SQL

Quantitative modeling

Regulatory knowledge

Communication

Mentoring

Education

Master's/PhD in Quantitative Finance/Math/Stats

Tools

Python

R

C++

SQL

Job description

Senior Quantitative Analyst - Financial Risk Modeling

Our client, a leading financial institution in Johannesburg, Gauteng , is seeking a highly accomplished Senior Quantitative Analyst to join their sophisticated Financial Risk department. This role is central to developing and implementing advanced mathematical models for credit risk, market risk, and operational risk assessment. You will be instrumental in enhancing the firm's risk management framework, ensuring regulatory compliance and supporting strategic decision‑making through rigorous quantitative analysis. The ideal candidate possesses a profound understanding of financial markets, advanced statistical techniques, and programming expertise. This is a challenging opportunity to make a significant impact within a dynamic and globally recognized financial services organization.

Key Responsibilities

• Develop, validate, and implement quantitative models for financial risk assessment (credit, market, operational).
• Perform complex statistical analysis and back‑testing of models.
• Ensure compliance with regulatory requirements (e.g., Basel III/IV, IFRS 9).
• Collaborate with business units to understand their risk management needs and translate them into quantitative solutions.
• Prepare detailed documentation of models, methodologies, and assumptions.
• Present complex analytical findings to senior management and regulatory bodies.
• Mentor junior analysts and contribute to team development.
• Monitor model performance and implement necessary adjustments or re‑calibrations.
• Stay abreast of industry trends, regulatory changes, and emerging quantitative techniques.
• Contribute to the strategic direction of the risk management function.

Requirements

• Master's degree or Ph.D. in Quantitative Finance, Mathematics, Statistics, Physics, or a related quantitative field.
• Minimum of 6 years of experience in quantitative analysis within the banking or financial services sector.
• Proven expertise in developing and validating credit risk, market risk, or operational risk models.
• Strong programming skills in languages such as Python, R, C++, or Java.
• Proficiency with data manipulation and database querying (SQL).
• Deep understanding of financial instruments, derivatives, and market dynamics.
• Familiarity with regulatory frameworks and their impact on risk modeling.
• Excellent analytical, problem‑solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex concepts clearly.
• Must be eligible to work in South Africa.

Benefits

Our client offers a highly competitive salary package, performance‑based bonuses, and a comprehensive benefits portfolio including medical aid, a provident fund, and extensive professional development opportunities.