Data Scientist - Financial Services

Placements24; Soweto; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Fully remote work

Competitive salary + bonuses

Health, dental, vision insurance

Access to cutting-edge tools

Job summary

Placements24 is seeking an accomplished Data Scientist to join a fully remote team focused on financial services. You will develop ML models for predictive analytics, fraud detection, and risk assessment, and translate complex data into clear business insights for stakeholders.

You will leverage Python/R, scikit-learn, TensorFlow and PyTorch, work with big data tools like Spark/Hadoop, and stay ahead with evolving techniques in ML and AI.

Qualifications

• Master's or Ph.D. in a quantitative field (e.g., CS, Statistics, Math).
• 5+ years of professional Data Scientist experience in financial services.
• Proficient in Python or R and libraries like scikit-learn, TensorFlow, PyTorch.

Responsibilities

• Develop and implement ML models for predictive analytics, classification, and regression tasks.
• Analyze large, complex datasets to uncover trends and actionable insights.
• Design and run A/B tests and experiments to validate hypotheses and model performance.
• Build data pipelines and collaborate with engineers to deploy models into production.
• Communicate complex findings to stakeholders via visualizations and reports.
• Stay current with data science advances and contribute to best practices.

Skills

Python

R

SQL

Education

Master's or Ph.D. in a quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

Job description

Our client is seeking an accomplished Data Scientist with a strong background in financial services to join their innovative, fully remote team. This role focuses on leveraging advanced machine learning techniques and statistical analysis to extract actionable insights from complex datasets, driving strategic business decisions and developing predictive models. You will play a critical role in areas such as fraud detection, customer segmentation, risk assessment, and algorithmic trading. This is an exceptional opportunity for a talented data scientist to work on challenging problems in a flexible, remote setting, contributing to the firm's competitive edge.

Key Responsibilities

• Develop and implement machine learning models for predictive analytics, classification, and regression tasks.
• Analyze large, complex datasets to uncover trends, patterns, and actionable business insights.
• Design and execute A/B tests and other experiments to validate hypotheses and model performance.
• Build data pipelines and collaborate with engineers to deploy models into production environments.
• Communicate complex analytical findings and recommendations to stakeholders through compelling visualizations and reports.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Contribute to the development of best practices and methodologies within the data science team.

Requirements

• Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or related discipline.
• 5+ years of professional experience as a Data Scientist, with significant experience in the financial sector.
• Proficiency in programming languages commonly used in data science, such as Python or R, and related libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
• Excellent problem-solving skills and the ability to translate business problems into data-driven solutions.
• Strong communication and collaboration skills, essential for a remote team environment.

Benefits

• Highly competitive salary and performance-based bonuses.
• Fully remote working arrangement, offering maximum flexibility and autonomy.
• Comprehensive health, dental, and vision insurance.
• Access to cutting-edge tools, technologies, and a stimulating learning environment.
• Opportunity to work on impactful projects that shape the future of financial services from anywhere in the world, even while based near Soweto.