Remote Finance Data Scientist: ML, Risk & Forecasting

Placements24; Sandton; Hybrid; ZAR 600,000 - 1,200,000; Full time

Benefits offered by this job

Fully remote

Performance-based bonuses

Professional development opportunities

Flexible work arrangement

Job summary

Placements24 is seeking a highly skilled Data Scientist specializing in Finance to join their remote analytics team. You will leverage advanced statistical techniques and ML models to extract insights from complex financial data, contributing to fraud detection, risk modeling, and algorithmic trading.

The role requires a strong quantitative background, expert Python or R, and familiarity with financial markets.

Qualifications

• Master's or Ph.D. in a quantitative field (Data Science, Stats, CS, Math).
• Proven experience as a Data Scientist in finance.
• Strong programming skills in Python or R and libraries.
• Deep knowledge of statistical modeling and ML techniques.
• Experience with financial markets and data sources.
• Excellent problem-solving and remote collaboration skills.

Responsibilities

• Develop and implement ML models for financial forecasting and risk.
• Analyze large financial datasets for trends and insights.
• Build predictive models for fraud, churn, and market movements.
• Collaborate with data engineers to ensure data quality.
• Communicate findings with stakeholders using visualizations.
• Stay updated on advances in data science relevant to finance.

Skills

Statistical modeling

Machine learning

Communication

Education

Master's or Ph.D. in Data Science/Statistics/CS/Math

Tools

Python

R

scikit-learn

TensorFlow

Pandas

SQL

Job description

Placements24 is seeking a highly skilled Data Scientist specializing in Finance to join their remote analytics team. You will leverage advanced statistical techniques and ML models to extract insights from complex financial data, contributing to fraud detection, risk modeling, and algorithmic trading.

The role requires a strong quantitative background, expert Python or R, and familiarity with financial markets.