Senior Data Analytics Scientist & Ml Leader

Afrizan People Intelligence Group; Pretoria; Hybrid; ZAR 800,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary bonuses

Health benefits

Professional growth

Cutting-edge tech

Hybrid work

Job summary

Afrizan People Intelligence Group in Pretoria is seeking a Data Scientist specializing in Risk Analytics to join our innovative team. You will leverage advanced statistical modeling and ML to identify and mitigate financial risks, work with large datasets, and develop predictive models.

This hybrid role offers collaboration in the office with flexible remote work, ample opportunities for data-driven insights, and a strong focus on risk management strategies and impactful analytics.

Qualifications

• Master's or PhD in a quantitative field.
• 3–5 years of experience in data science with a focus on financial risk modeling.
• Proficiency in Python or R and libraries like scikit-learn, TensorFlow or PyTorch.

Responsibilities

• Develop and implement ML models for credit, market and operational risk assessment.
• Analyze large datasets to identify patterns and anomalies related to financial risk.
• Build predictive models to forecast potential losses and portfolio risk exposure.
• Collaborate with risk management to translate business needs into data science solutions.
• Design and execute A/B tests and other experiments to validate model performance.
• Communicate findings and model insights to technical and non‑technical audiences.

Skills

Python

R

scikit-learn

TensorFlow

PyTorch

SQL

Big data

Machine learning

Statistical modeling

Data analysis

Education

Master's or PhD in Data Science/Statistics/CS/Mathematics

Tools

Spark

Hadoop

Job description

Our client is looking for a skilled Data Scientist specializing in Risk Analytics to join their innovative team in Pretoria . This role focuses on leveraging advanced statistical modeling and machine learning techniques to identify, measure, and mitigate financial risks. You will work with large datasets, develop predictive models, and provide data-driven insights to support risk management strategies. This hybrid position allows for collaboration with colleagues in the office while providing flexibility for remote work, ideal for professionals who excel in both structured analysis and independent research.

About the Role

Our client is looking for a skilled Data Scientist specializing in Risk Analytics to join their innovative team in Pretoria . This role focuses on leveraging advanced statistical modeling and machine learning techniques to identify, measure, and mitigate financial risks. You will work with large datasets, develop predictive models, and provide data-driven insights to support risk management strategies. This hybrid position allows for collaboration with colleagues in the office while providing flexibility for remote work, ideal for professionals who excel in both structured analysis and independent research.

Key Responsibilities

• Develop and implement machine learning models for credit risk, market risk, and operational risk assessment.
• Analyze large and complex datasets to identify patterns, trends, and anomalies related to financial risk.
• Build predictive models to forecast potential financial losses and assess portfolio risk exposure.
• Collaborate with risk management teams to translate business needs into data science solutions.
• Design and execute A/B tests and other experiments to validate model performance.
• Communicate findings and model insights effectively to both technical and non-technical audiences.

Requirements

• Master\'s or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• 3-5 years of experience in data science, with a focus on financial risk modeling.
• Proficiency in programming languages such as Python or R, and libraries like scikit-learn, TensorFlow, or PyTorch.
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with SQL and big data technologies (e.g., Spark, Hadoop).
• Familiarity with regulatory requirements in the financial services industry is a plus.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health and wellness benefits package.
• Opportunities for continued learning, conference attendance, and professional growth.
• Access to cutting-edge technology and large-scale data infrastructure.
• A supportive hybrid work model fostering both collaboration and individual focus.