Remote Quantitative Analyst - Risk Management

Placements24; Cape Town; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Health benefits

Performance-based bonus

Professional development

Remote work infrastructure

Job summary

Placements24 is recruiting a highly skilled Quantitative Analyst for a remote-first Risk Management team. You will design and validate models for market, credit, and operational risk, and integrate analytics into business processes from anywhere in South Africa.

You will back-test, stress-test, and report risk exposures while staying current with quantitative finance developments. This role offers strong growth potential in the global financial arena.

Qualifications

• Master's degree or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Minimum of 4 years of experience as a Quantitative Analyst or in a similar quantitative role within the financial services industry.
• Strong programming skills in Python, R, C++, or Java, with libraries relevant to quantitative finance.
• Solid understanding of financial derivatives, fixed income, equities, and portfolio theory.
• Expertise in statistical modeling, time series analysis, machine learning, and econometrics.

Responsibilities

• Design, develop, and validate complex quantitative models for market risk, credit risk, and operational risk.
• Implement and maintain risk measurement systems and analytics tools.
• Conduct back-testing and stress-testing of models to ensure their accuracy and robustness.
• Analyze large datasets to identify risk patterns and emerging trends.
• Collaborate with trading desks, portfolio managers, and IT departments to integrate risk models into business processes.
• Prepare detailed reports and presentations on risk exposures and mitigation strategies for senior management and regulatory bodies.
• Stay abreast of the latest developments in quantitative finance, risk management, and regulatory requirements.
• Contribute to the firm’s risk appetite framework and policy development.
• Develop dashboards and visualization tools for risk monitoring and reporting.

Skills

Python

R

C++

Java

Time series analysis

Machine learning

Econometrics

Statistical modeling

Education

Master's degree in a quantitative field

PhD in a quantitative field

Job description

About the Role

Our client is a pioneering global financial services firm actively seeking a highly skilled Quantitative Analyst to join their remote-first Risk Management team, based conceptually near Cape Town, Western Cape . This is a fully remote position, offering the flexibility to work from anywhere within South Africa. You will be instrumental in developing and implementing sophisticated quantitative models to assess and manage financial risks across various portfolios. This role demands a rigorous analytical approach, strong programming skills, and a deep understanding of financial markets and risk methodologies. You will contribute to ensuring the firm’s stability and compliance through expert risk analysis and strategic advisory. This is a unique opportunity to join a forward-thinking organization that embraces remote work and offers significant career growth potential in the international financial arena.

Key Responsibilities

• Design, develop, and validate complex quantitative models for market risk, credit risk, and operational risk.
• Implement and maintain risk measurement systems and analytics tools.
• Conduct back-testing and stress-testing of models to ensure their accuracy and robustness.
• Analyze large datasets to identify risk patterns and emerging trends.
• Collaborate with trading desks, portfolio managers, and IT departments to integrate risk models into business processes.
• Prepare detailed reports and presentations on risk exposures and mitigation strategies for senior management and regulatory bodies.
• Stay abreast of the latest developments in quantitative finance, risk management, and regulatory requirements.
• Contribute to the firm’s risk appetite framework and policy development.
• Develop dashboards and visualization tools for risk monitoring and reporting.

Requirements

• Master's degree or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Minimum of 4 years of experience as a Quantitative Analyst or in a similar quantitative role within the financial services industry.
• Strong programming skills in languages such as Python, R, C++, or Java, with libraries relevant to quantitative finance.
• Solid understanding of financial derivatives, fixed income, equities, and portfolio theory.
• Expertise in statistical modeling, time series analysis, machine learning, and econometrics.
• Experience with risk management frameworks (e.g., Basel Accords) and regulatory reporting.
• Excellent analytical and problem-solving abilities with a keen eye for detail.
• Strong written and verbal communication skills, capable of explaining complex technical concepts to non-technical audiences.
• Proven ability to work independently and manage multiple projects simultaneously in a remote setting.

Benefits

• As a fully remote employee, you will receive a highly competitive salary, comprehensive health benefits package, and a generous performance-based bonus. Our client supports professional development through continuous learning initiatives and conference attendance. You will have access to state-of-the-art remote work infrastructure and collaborative online tools, fostering seamless teamwork. This role offers unparalleled flexibility and the chance to contribute to a globally recognized financial institution from the comfort of your own home. Embrace a career that values innovation and autonomy in the dynamic field of financial risk management, serving clients worldwide from Cape Town .