Quantitative Analytics & Model Management Analyst -RMG

Junior Quantitative Officer

The Junior Quantitative Officer supports the development, testing, monitoring, and maintenance of quantitative models and analytical tools used in financial risk management. The role performs data analysis and model performance monitoring while assisting in the preparation of technical documentation and reports.

Responsibilities

• Assist in the development, testing, validation, and monitoring of quantitative models used for financial risk management.
• Perform quantitative and statistical analyses on financial and risk-related data.
• Prepare, clean, validate, and analyze data required for model development and testing.
• Monitor model performance and assist in identifying areas that may require further review or enhancement.
• Assist in preparing technical documentation, reports, and presentations related to quantitative models.
• Perform research on quantitative methodologies and risk management practices.
• Support the team in addressing model-related requirements and other quantitative analysis activities.
• Ensure the accuracy, completeness, and proper documentation of analyses performed.

Requirements

• Bachelor’s

degree

• in Mathematics, Applied Mathematics, Statistics, Data Science, Computer Science, Economics, Finance, Engineering, or another quantitative discipline.
• Knowledge of statistical analysis, quantitative modeling, data analytics, or financial risk management.

Familiarity with programming or statistical tools such as

• Python, R, SQL, or similar analytical applications is an advantage.
• Strong numerical, analytical, and problem-solving skills.
• Good attention to detail, particularly when working with large datasets and quantitative results.
• Good written and verbal communication skills, with the ability to document and present analytical findings clearly.
• Relevant experience in quantitative analysis, risk management, banking, or financial services is an advantage;
• fresh graduates with a strong quantitative background may also be considered
• Data analysis and interpretation
• Problem-solving
• Technical documentation
• Research skills