Quantitative Risk Analyst

Placements24; Cape Town; On-site; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Medical aid

Retirement fund

Generous annual leave

Professional development

Job summary

Placements24 is actively seeking a Quantitative Risk Analyst in Cape Town to develop and validate sophisticated models for credit, market and operational risk. You will analyze large datasets, perform stress tests, and contribute to risk framework enhancements.

The role requires a Master’s or PhD in a quantitative field, 4+ years in quantitative risk, and strong Python/R/C++ skills. Eligible to work in Cape Town, ZA. Competitive salary and growth prospects.

Qualifications

• Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering.
• Minimum of 4 years of relevant experience in quantitative risk management, preferably within Banking & Finance.
• Strong programming skills in Python, R, or C++.
• Proficiency in statistical modeling techniques, time series analysis, and econometrics.
• Deep understanding of financial markets, instruments, and risk management principles.
• Experience with risk modeling software and databases.
• Excellent analytical and problem-solving abilities.
• Strong written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences.
• Must be eligible to work in Cape Town, ZA.

Responsibilities

• Develop, validate, and implement quantitative models for credit risk, market risk, and operational risk.
• Analyze large datasets to identify potential risks and develop strategies for mitigation.
• Perform stress testing and scenario analysis to assess the impact of adverse market conditions.
• Contribute to the development and enhancement of risk management frameworks and policies.
• Collaborate with business units to understand their risk exposures and provide quantitative support.
• Prepare comprehensive reports and presentations on risk exposures and model performance for senior management and regulatory bodies.
• Stay abreast of industry best practices, regulatory changes, and emerging trends in quantitative risk management.
• Conduct back-testing and sensitivity analysis of risk models.

Skills

Python

R

C++

Statistics

Time series

Econometrics

Education

MSc/MA/PhD in quantitative field

Tools

Risk modeling software

Job description

About the Role

Our client, a prominent financial services firm, is actively seeking a skilled Quantitative Risk Analyst to join their esteemed team in **Cape Town, Western Cape**. This critical role involves developing and implementing sophisticated quantitative models to assess and manage various financial risks. You will play a pivotal part in ensuring the stability and integrity of our client's financial operations through rigorous analysis and risk mitigation strategies. The ideal candidate possesses a strong background in statistics, mathematics, and finance, with a keen eye for detail and a passion for uncovering complex financial patterns. This position is based in the vibrant city of Cape Town and offers an exceptional career trajectory within the Banking & Finance sector.

Key Responsibilities

• Develop, validate, and implement quantitative models for credit risk, market risk, and operational risk.
• Analyze large datasets to identify potential risks and develop strategies for mitigation.
• Perform stress testing and scenario analysis to assess the impact of adverse market conditions.
• Contribute to the development and enhancement of risk management frameworks and policies.
• Collaborate with business units to understand their risk exposures and provide quantitative support.
• Prepare comprehensive reports and presentations on risk exposures and model performance for senior management and regulatory bodies.
• Stay abreast of industry best practices, regulatory changes, and emerging trends in quantitative risk management.
• Conduct back-testing and sensitivity analysis of risk models.

Requirements

• Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering.
• Minimum of 4 years of relevant experience in quantitative risk management, preferably within the Banking & Finance industry.
• Strong programming skills in languages such as Python, R, or C++.
• Proficiency in statistical modeling techniques, time series analysis, and econometrics.
• Deep understanding of financial markets, instruments, and risk management principles.
• Experience with risk modeling software and databases.
• Excellent analytical and problem-solving abilities.
• Strong written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences.
• Must be eligible to work in **Cape Town, Western Cape, ZA**.

Benefits

• Attractive salary and performance-based bonus structure.
• Comprehensive medical aid and retirement fund contributions.
• Generous annual leave and public holidays.
• Opportunities for professional development, including conferences and training.
• Exposure to cutting-edge quantitative techniques and technologies.
• A stimulating and collaborative work environment in Cape Town.
• Support for further academic or professional qualifications.