Hybrid Senior Data Scientist: Finance ML & Trading Insights

Placements24; Vereeniging; Hybrid; ZAR 1.200.000 - 1.800.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Bonuses

Health insurance

Retirement plan

Learning opportunities

Hybrid work

Zusammenfassung

Placements24 is seeking a Senior Data Scientist to join its quantitative analytics team in Vereeniging. The role blends remote work with essential in-office collaboration and focuses on applying ML and statistical methods to financial markets.

You will develop models for trading, risk, and customer insights, interfacing with traders and engineers to drive product enhancements and decision making.

Qualifikationen

• Master's or PhD in a quantitative field as listed.
• Minimum of 5 years as a Data Scientist with finance focus.
• Proficiency in Python or R and ML libraries.
• Strong statistical modeling and experimental design knowledge.
• Experience with big data technologies and SQL.

Aufgaben

• Develop ML models for trading, risk, fraud, and customer segmentation.
• Analyze large financial datasets to identify trends and opportunities.
• Design A/B tests to evaluate model performance and impact.
• Collaborate with traders and quants to translate needs into data solutions.
• Prepare data, visualizations, and reports for technical and non‑technical audiences.
• Stay current with advances in data science and financial engineering.
• Contribute to data infrastructure and MLOps capabilities.
• Mentor junior data scientists and share knowledge.

Kenntnisse

Python

R

Machine Learning

Statistics

Big Data

SQL

Communication

Ausbildung

Master's or PhD in CS/Statistics/Math/Physics/Financial Engineering

Tools

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Spark

Hadoop

SQL databases

Jobbeschreibung

Placements24 is seeking a Senior Data Scientist to join its quantitative analytics team in Vereeniging. The role blends remote work with essential in-office collaboration and focuses on applying ML and statistical methods to financial markets.

You will develop models for trading, risk, and customer insights, interfacing with traders and engineers to drive product enhancements and decision making.