Remote Senior Data Scientist: Quant Finance & Trading

Placements24; Gqeberha; Hybrid; ZAR 2,316,000 - 3,639,000; Full time

Benefits offered by this job

Stock options

Fully remote

Flexible hours

Continued learning

Job summary

Placements24 is seeking a Senior Data Scientist for a remote fintech team specializing in financial markets. You will craft predictive models, analyze large market datasets, and contribute to algorithmic trading and risk management initiatives.

Ideal candidates hold a PhD or Master's in a quantitative field with 5+ years in finance-related data science, strong Python or R skills, and experience with Spark/Hadoop for big data. This role offers stock options and flexible hours.

Qualifications

• PhD or Master's degree in Data Science, Statistics, CS, Mathematics, or related quantitative field.
• 5+ years hands-on Data Scientist experience with a focus on financial markets or quantitative finance.
• Strong programming in Python or R with ML libraries (Scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (Spark, Hadoop) and databases.
• Deep understanding of financial instruments and market dynamics.

Responsibilities

• Design, develop, and implement advanced statistical and ML models for financial forecasting and risk assessment.
• Analyze large, complex financial datasets to identify patterns, trends, and actionable insights.
• Build and validate predictive models for trading strategies, portfolio optimization, and fraud detection.
• Collaborate with engineering to deploy models into production and monitor performance.
• Communicate complex findings to technical and non-technical stakeholders.
• Stay current with research in data science, ML, and quantitative finance.

Skills

Python

R

Quantitative analysis

Statistical modeling

Data visualization

Education

PhD or Master's in a quantitative field

Tools

Scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

Job description

Placements24 is seeking a Senior Data Scientist for a remote fintech team specializing in financial markets. You will craft predictive models, analyze large market datasets, and contribute to algorithmic trading and risk management initiatives.

Ideal candidates hold a PhD or Master's in a quantitative field with 5+ years in finance-related data science, strong Python or R skills, and experience with Spark/Hadoop for big data. This role offers stock options and flexible hours.