Remote Data Scientist - FinServ ML & Risk Analytics

Placements24; Randfontein; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Professional development

Remote-friendly culture

Job summary

Placements24 is seeking an innovative Data Scientist to lead advanced analytics for a remote-first financial services client. You will develop predictive models, perform rigorous statistical analysis, and translate insights into strategic business actions.

The role emphasizes deep financial markets knowledge, Python/R expertise, and the ability to drive data-driven decisions in a fast-paced, research-oriented environment.

Qualifications

• Master's or PhD in a quantitative field.
• Minimum 5 years in data science within financial services or banking.
• Proficiency in Python or R with common ML libraries.
• Strong statistical modeling and ML algorithm knowledge.
• SQL proficiency; experience with big data tools and cloud platforms.

Responsibilities

• Design and deploy ML models for fraud detection, credit risk, customer segmentation, and trading.
• Perform advanced statistical analysis on large datasets.
• Clean and prepare data for modeling with high data quality.
• Collaborate with stakeholders to translate requirements into DS solutions.
• Develop and maintain data pipelines and analytics workflows.
• Communicate model performance and business implications.

Skills

Analytical thinking

5+ years Data Scientist experience

Communication skills

Education

Master's or PhD in Computer Science/Statistics/Mathematics/Physics

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

SQL

Spark

Hadoop

AWS/Azure/GCP

Job description

Placements24 is seeking an innovative Data Scientist to lead advanced analytics for a remote-first financial services client. You will develop predictive models, perform rigorous statistical analysis, and translate insights into strategic business actions.

The role emphasizes deep financial markets knowledge, Python/R expertise, and the ability to drive data-driven decisions in a fast-paced, research-oriented environment.