Senior Data Scientist - Financial Modeling Leader (Remote)

Placements24; Cape Town; Hybrid; ZAR 900.000 - 1.500.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Medical, dental, vision insurance

Home office setup allowance

Remote work flexibility

Retirement plan

Paid time off

Professional training & certifications

Career growth opportunities

Zusammenfassung

Placements24 is seeking a Lead Data Scientist to spearhead advanced financial modeling initiatives. This fully remote role involves leading a team of data scientists to drive innovation in predictive modeling, risk assessment, and algorithmic strategies across financial datasets.

The candidate will leverage Python, R, and modern ML libraries, with deep understanding of financial markets and big data tech. Remote collaboration and executive-level delivery are essential.

Qualifikationen

• PhD or Master’s in a quantitative field is required.
• 8+ years of progressive data science experience with financial modeling focus.
• Experience leading and mentoring data science teams.

Aufgaben

• Lead design, development, and deployment of ML models for financial forecasting, fraud detection, and analytics.
• Mentor and manage a team of data scientists, fostering innovation.
• Collaborate with risk, product, and trading teams to identify business challenges.
• Develop and maintain robust data pipelines and infrastructure for large-scale training.
• Evaluate and implement new data science tools and technologies.
• Ensure scalability, reliability, and performance of models.
• Present findings and recommendations to senior management.

Kenntnisse

Python

R

TensorFlow

PyTorch

Scikit-learn

Pandas

Leadership

Mentoring

Communication

Ausbildung

PhD in CS/Statistics/Math

Master's in related field

Tools

Spark

Hadoop

AWS

Azure

GCP

Jobbeschreibung

Placements24 is seeking a Lead Data Scientist to spearhead advanced financial modeling initiatives. This fully remote role involves leading a team of data scientists to drive innovation in predictive modeling, risk assessment, and algorithmic strategies across financial datasets.

The candidate will leverage Python, R, and modern ML libraries, with deep understanding of financial markets and big data tech. Remote collaboration and executive-level delivery are essential.