Remote Lead Data Scientist - Algorithmic Trading & ML

Placements24; Pretoria; Hybrid; ZAR 3,046,000 - 5,415,000; Full time

Benefits offered by this job

Remote-friendly environment

Competitive salary

Performance bonuses

Stock options

Health, dental, vision insurance

Learning allowances

Job summary

Placements24 is seeking a Lead Data Scientist to spearhead algorithmic trading initiatives in a fully remote, high-impact role. You will design, develop, and deploy advanced ML models and data-driven strategies, leading a team of data scientists and collaborating with quants and software engineers to build scalable trading systems.

The role requires deep financial market knowledge, strong statistical modeling, and experience with big data and cloud platforms.

Qualifications

• Ph.D./Master’s in a quantitative field.
• 7+ years in data science with algo-trading focus.
• Experience leading DS teams and projects.
• Proficiency in ML techniques (DL, RL, time series).

Responsibilities

• Lead ML model development for algorithmic trading strategies.
• Design experiments to validate new trading algorithms.
• Analyze large datasets for predictive signals and patterns.
• Build robust data pipelines for real-time trading.
• Mentor a team of data scientists and collaborate with quants/engineers.
• Integrate models into production trading systems.
• Stay updated with ML and quantitative finance advances.
• Monitor model performance and optimize for profitability.
• Communicate findings to stakeholders clearly.

Skills

Leadership

Machine learning

Time series analysis

Python (TensorFlow, PyTorch, scikit-le

C++

Big data

Cloud platforms (AWS, Azure)

Communication

Remote team management

Education

Ph.D. or Master’s in CS/Statistics/Math or related field

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

AWS

Azure

Job description

Placements24 is seeking a Lead Data Scientist to spearhead algorithmic trading initiatives in a fully remote, high-impact role. You will design, develop, and deploy advanced ML models and data-driven strategies, leading a team of data scientists and collaborating with quants and software engineers to build scalable trading systems.

The role requires deep financial market knowledge, strong statistical modeling, and experience with big data and cloud platforms.