Hybrid Data Scientist: Risk Analytics & ML Modeling

Placements24; Pretoria; Hybrid; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Hybrid work model

Learning opportunities

Job summary

Placements24 in Pretoria is seeking a skilled Data Scientist specializing in Risk Analytics to join our innovative team. You will apply advanced statistical modeling and machine learning to identify, measure, and mitigate financial risks, working with large datasets and delivering data-driven insights to risk management.

This hybrid role offers collaboration in the office with flexibility for remote work and opportunities to work with cutting-edge analytics infrastructure.

Qualifications

• Master's or PhD in a quantitative field such as Data Science or Statistics.
• 3–5 years of data science experience in financial risk modeling.
• Proficiency in Python or R with ML libraries.

Responsibilities

• Develop ML models for credit risk, market risk, and operational risk.
• Analyze large datasets to identify risk patterns and anomalies.
• Build predictive models to forecast losses and portfolio risk.
• Translate business needs into data science solutions.
• Design and run A/B tests and validate model performance.

Skills

Python

R

Machine Learning

Statistical Modeling

SQL

Big Data (Spark/Hadoop)

Education

Master's degree or PhD in a quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

Job description

Placements24 in Pretoria is seeking a skilled Data Scientist specializing in Risk Analytics to join our innovative team. You will apply advanced statistical modeling and machine learning to identify, measure, and mitigate financial risks, working with large datasets and delivering data-driven insights to risk management.

This hybrid role offers collaboration in the office with flexibility for remote work and opportunities to work with cutting-edge analytics infrastructure.