Senior Quantitative Analyst - Risk Modeling

Placements24; LegKraal Gate; Hybrid; ZAR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Competitive salary

Performance bonuses

Medical benefits

Dental benefits

Retirement plans

Remote work

Job summary

Placements24 seeks a Senior Quantitative Analyst to join a global risk modelling team in a fully remote role in South Africa. You will develop, validate, and implement advanced models for market and credit risk, and regulatory compliance, using strong math, statistics and programming skills.

The ideal candidate holds a PhD or Master\'s in a quantitative field, with 7+ years of experience and the ability to communicate complex results to stakeholders across the business.

Qualifications

• PhD or Master\'s in a highly quantitative field.
• 7+ years of experience in quantitative analysis or risk management in financial services.
• Expertise in statistical modeling, time series, machine learning, and stochastic calculus.

Responsibilities

• Develop, implement, and maintain quantitative models for risk management (e.g., VaR, CVA, stress testing).
• Perform rigorous model validation to ensure accuracy, robustness, and regulatory compliance.
• Analyze large datasets using advanced statistical techniques and programming languages.
• Collaborate with front‑office, risk management, and technology teams to integrate models into production systems.
• Interpret model outputs and communicate complex findings to business stakeholders.
• Stay abreast of research and regulatory requirements (Basel III/IV, IFRS 9).
• Mentor junior quantitative analysts and contribute to team knowledge sharing.

Skills

Statistical modeling

Time series analysis

Machine learning

Stochastic calculus

Financial markets knowledge

Independent work

Communication

Education

PhD or Master\'s in a quantitative field

Tools

Python

R

C++

Java

AWS

Azure

Job description

About the Role Our client, a global leader in financial services, is seeking an exceptional Senior Quantitative Analyst to join their cutting‑edge Risk Modeling team. This is a fully remote position, offering unparalleled flexibility for top talent across the country. The role is critical for developing, validating, and implementing sophisticated quantitative models for market risk, credit risk, and regulatory compliance. The ideal candidate will possess advanced mathematical and statistical expertise, strong programming skills, and a deep understanding of financial markets and instruments. Join a dynamic, collaborative environment focused on innovation and intellectual rigor within the challenging field of banking and finance .

Key Responsibilities

• Develop, implement, and maintain quantitative models for risk management (e.g., VaR, CVA, stress testing).
• Perform rigorous model validation to ensure accuracy, robustness, and compliance with regulatory standards.
• Analyze large datasets using advanced statistical techniques and programming languages.
• Collaborate with front‑office, risk management, and technology teams to integrate models into production systems.
• Interpret model outputs and communicate complex findings to business stakeholders.
• Stay abreast of academic research, industry best practices, and evolving regulatory requirements (e.g., Basel III/IV, IFRS 9).
• Contribute to the enhancement of modeling frameworks and data infrastructure.
• Mentor junior quantitative analysts and contribute to team knowledge sharing.
• Conduct ad‑hoc analysis and research to support strategic initiatives.

Requirements

• PhD or Master's degree in a highly quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Minimum of 7 years of experience in quantitative analysis, model development, or risk management within the financial services industry.
• Expertise in statistical modeling, time series analysis, machine learning, and stochastic calculus.
• Proficiency in programming languages such as Python, R, C++, or Java.
• Strong understanding of financial markets, derivatives, and risk management principles.
• Excellent analytical, problem‑solving, and critical thinking skills.
• Superior written and verbal communication skills, with the ability to explain complex technical concepts clearly.
• Proven ability to work independently and manage multiple complex projects in a remote setting.
• Experience with cloud computing platforms (e.g., AWS, Azure) is a plus.

Benefits

• Our client offers a highly competitive salary, significant performance bonuses, comprehensive benefits package including medical, dental, and retirement plans, extensive opportunities for professional development and research, and the flexibility of a fully remote work environment.