Remote Lead Data Scientist - Algorithmic Trading & ML

Placements24; Vereeniging; Hybrid; ZAR 1,500,000 - 2,300,000; Full time

Benefits offered by this job

High salary potential

Bonuses and profit sharing

Health, dental, and vision insurance

Equity opportunity

Remote-first culture

Conference support

Job summary

Placements24 invites a Lead Data Scientist to join a cutting-edge quantitative trading team. This remote role focuses on designing, developing, and deploying advanced ML models and trading algorithms across asset classes.

You will mentor junior scientists, collaborate with PMs and engineers, and build back-testing frameworks to evaluate performance, while staying at the forefront of quantitative finance. Candidates should hold a PhD or MSc, 5+ years in data science with finance experience, and

Qualifications

• PhD or Master’s in Computer Science, Statistics, Mathematics, Physics, or related quantitative field.
• 5+ years of hands-on data science experience with a focus on algorithmic trading or quantitative finance.
• Proven track record of developing and deploying ML models in trading contexts.
• Strong Python and data science libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).

Responsibilities

• Lead the design and implementation of ML models and statistical algorithms for algorithmic trading.
• Analyze large financial datasets to identify predictive signals and opportunities.
• Develop and maintain back-testing frameworks to evaluate strategies.
• Collaborate with software engineers to deploy trading algorithms to production.
• Mentor junior data scientists and researchers.
• Stay at the forefront of ML, AI, and quantitative finance.

Skills

Python

Time series analysis

Machine learning

Critical thinking

Remote collaboration

Education

PhD or Master’s in a quantitative field

Tools

NumPy

Pandas

Scikit-learn

TensorFlow

PyTorch

Spark/Hadoop

Job description

Placements24 invites a Lead Data Scientist to join a cutting-edge quantitative trading team. This remote role focuses on designing, developing, and deploying advanced ML models and trading algorithms across asset classes.

You will mentor junior scientists, collaborate with PMs and engineers, and build back-testing frameworks to evaluate performance, while staying at the forefront of quantitative finance. Candidates should hold a PhD or MSc, 5+ years in data science with finance experience, and