Quantitative Graduate

Network Recruitment; Johannesburg; On-site; ZAR 360,000 - 480,000; Full time

Job summary

Network Recruitment is seeking an entry-level Data Analytics Analyst with a strong foundation in actuarial science or quantitative fields.

You will analyse large datasets, build models, and support forecasting and performance initiatives. The role emphasizes translating complex data into actionable insights and presenting findings to stakeholders, with a focus on continuous process improvement.

Qualifications

• Degree in Actuarial Science, Mathematics, Statistics, Quantitative Risk Management, Mathematical Sciences, or a related quantitative field.
• Minimum 8 actuarial exemptions required.
• Cum Laude qualification advantageous.

Responsibilities

• Analyse large datasets to identify trends, risks, and business opportunities.
• Develop and maintain quantitative models and analytical tools.
• Support forecasting, pricing, risk, and business performance initiatives.
• Prepare reports and insights to assist with strategic decision-making.
• Collaborate with stakeholders to solve complex business problems using data-driven approaches.
• Assist with process improvement and optimisation projects.

Skills

Quantitative analysis

Statistical knowledge

Excel expertise

SQL exposure

Python exposure

R exposure

Power BI exposure

Communication skills

Presentation skills

Data interpretation

Education

Actuarial Science / Quantitative degree

Tools

Power BI

SQL

Python

R

SAS

Job description

Key Responsibilities

• Analyse large datasets to identify trends, risks, and business opportunities.
• Develop and maintain quantitative models and analytical tools.
• Support forecasting, pricing, risk, and business performance initiatives.
• Prepare reports and insights to assist with strategic decision-making.
• Collaborate with stakeholders to solve complex business problems using data-driven approaches.
• Assist with process improvement and optimisation projects.

Experience and Skills Required

• Qualifications: Degree in Actuarial Science, Mathematics, Statistics, Quantitative Risk Management, Mathematical Sciences, or a related quantitative field. Minimum 8 actuarial exemptions required. Cum Laude qualification advantageous.
• Experience: Entry-level opportunity. Internship, vacation work, or analytical project experience advantageous.
• Skills: Strong quantitative and analytical abilities. Excellent mathematical and statistical knowledge. Advanced Microsoft Excel skills. Exposure to SQL, Python, R, SAS, Power BI, or similar analytical tools advantageous. Strong problem-solving and critical-thinking skills. Excellent communication and presentation abilities. Ability to work with large volumes of data and translate findings into actionable insights.