Quantitative Analyst

Recruiter:

Network Recruitment

Job Ref:

NFP015788/HN

Date posted:

Friday, May 30, 2025

Location:

Johannesburg, South Africa

SUMMARY:
Quantitative Analyst

Industry: Financial Services / Analytics
Are you passionate about solving complex problems with data? Do you thrive in fast-paced environments where your analytical insights can drive meaningful business decisions? We are looking for a Quantitative Analyst to join a dynamic team that supports innovation, performance, and strategic decision-making through advanced data analytics and modelling.

POSITION INFO:

Key Responsibilities

Develop, implement, and maintain predictive and statistical models to support business objectives
Leverage large datasets to uncover insights and optimise decision-making in areas such as risk, pricing, and customer engagement
Collaborate with cross-functional teams to define data requirements and transform business problems into data-driven solutions
Analyse data trends and assess model performance using techniques such as regression analysis, machine learning, and time series forecasting
Support the development of scorecards, forecasting models, and optimisation algorithms
Present complex findings in a clear and actionable manner to both technical and non-technical stakeholders

Requirements

Bachelor’s degree or higher in Mathematics, Statistics, Actuarial Science, Data Science, or related field
2–4 years of experience in a quantitative analytics or data modelling role
Strong programming skills in Python, R, SQL, or similar languages
Experience with data visualisation tools such as Power BI or Tableau
Solid understanding of statistical methods, probability theory, and machine learning algorithms
Strong business acumen and ability to translate technical findings into practical insights

Desirable

Exposure to credit risk, collections, or financial modelling
Experience working with cloud-based data platforms (e.g., Azure, AWS)
Familiarity with optimisation techniques and simulation modelling

What’s in It for You?

Be part of a high-performing analytics team driving real change
Exposure to complex data environments and impactful projects
Opportunities for professional growth and continuous learning
A supportive and innovative culture that values data-driven thinking

If you are interested in this opportunity, please apply directly to .
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