Remote Lead Data Scientist - Financial Risk & ML Strategy

Placements24

Centurion

Hybrid

ZAR 1.200.000 - 2.200.000

Vollzeit

vor 28 Stunden
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Fully remote work
Competitive package
Professional growth opportunities
Collaborative team culture

Zusammenfassung

Placements24 seeks a Lead Data Scientist to guide risk modeling efforts in a fully remote role. You will head a team of data scientists and analysts, developing advanced machine learning models to quantify and mitigate credit, market, and operational risk.

The role requires a strong mix of technical depth, strategic vision, and leadership, with collaboration across risk, compliance, and IT to translate insights into action.

Qualifikationen

  • Master's or PhD in a quantitative field or related discipline.
  • Strong background in financial risk modeling and ML.
  • Proven leadership of data science teams and projects.
  • Expertise with Python or R and ML libraries.

Aufgaben

  • Lead and mentor a team of data scientists focused on financial risk.
  • Design and deploy ML models for risk prediction and mitigation.
  • Extract and analyze large financial datasets from diverse sources.
  • Establish model validation frameworks and monitor production performance.
  • Collaborate with risk, compliance, and IT to embed data solutions.
  • Stay updated on advances in data science and risk management.

Kenntnisse

Machine learning
Statistical modeling
Data analysis
Leadership
Communication

Ausbildung

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

Tools

Python
R
scikit-learn
TensorFlow
PyTorch
SQL
Spark/Hadoop

Jobbeschreibung

Placements24 seeks a Lead Data Scientist to guide risk modeling efforts in a fully remote role. You will head a team of data scientists and analysts, developing advanced machine learning models to quantify and mitigate credit, market, and operational risk.

The role requires a strong mix of technical depth, strategic vision, and leadership, with collaboration across risk, compliance, and IT to translate insights into action.

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