Data Scientist - Financial Services

Placements24; Pretoria; Hybrid; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Competitive salary with performance-bk

Fully remote work

Health, dental, and vision insurance

Paid time off & sick leave

Online learning resources

Innovative remote culture

Job summary

Placements24 is seeking a highly skilled Data Scientist for a fully remote role focused on the financial services sector. You will build predictive models, perform advanced analytics, and drive data-driven decision-making across cross-functional teams in a remote setting.

The ideal candidate will have a strong portfolio of ML/DS projects, expertise in Python or R with ML libraries, and hands-on experience with cloud platforms (AWS/Azure/GCP).

Qualifications

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Proven experience as a Data Scientist with a strong project portfolio, preferably in financial services.
• Proficiency in Python or R and libraries like scikit-learn, TensorFlow, PyTorch.
• Solid understanding of statistical modeling, ML techniques, and experimental design.
• Experience with big data technologies and cloud platforms (AWS/Azure/GCP) is a plus.

Responsibilities

• Design, develop, and implement ML models for financial forecasting, risk assessment, and fraud detection.
• Extract, clean, and transform large datasets from various sources for analysis.
• Conduct exploratory data analysis to identify patterns and insights.
• Collaborate with product managers, engineers, and stakeholders to define DS requirements.
• Communicate analytical findings clearly to technical and non-technical audiences.
• Stay current with advances in data science and financial technologies.

Skills

Python

R

scikit-learn

TensorFlow

PyTorch

Statistical modeling

ML techniques

Experimental design

Education

Master's or PhD in CS/Stats/Math/Economics

Tools

AWS

Azure

GCP

Job description

About the Role

Our client is looking for a highly skilled Data Scientist with a passion for the financial services industry to join their fully remote team. This role is pivotal in leveraging advanced analytics and machine learning techniques to uncover insights, build predictive models, and drive innovation within the finance sector. You will work on challenging problems, collaborating with cross-functional teams to translate complex data into strategic business advantages. The successful candidate will thrive in a remote setting, demonstrating autonomy, strong problem-solving abilities, and a commitment to data-driven decision-making across the organization.

Key Responsibilities

• Design, develop, and implement machine learning models and algorithms for financial forecasting, risk assessment, and fraud detection.
• Extract, clean, and transform large datasets from various sources to prepare them for analysis.
• Conduct exploratory data analysis to identify patterns, trends, and insights relevant to business objectives.
• Collaborate with product managers, engineers, and business stakeholders to define data science requirements and solutions.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences.
• Stay current with the latest advancements in data science, machine learning, and financial technologies.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Proven experience as a Data Scientist, with a strong portfolio of projects, preferably in financial services.
• Proficiency in programming languages such as Python or R, and expertise in relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Solid understanding of statistical modeling, machine learning techniques, and experimental design.
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Excellent problem-solving skills and the ability to work effectively and collaboratively in a remote environment.

Benefits

• Highly competitive salary and potential for performance bonuses.
• Full remote work flexibility, allowing for work from anywhere.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and sick leave policies.
• Access to online learning platforms and professional development resources.
• A forward-thinking and innovative remote work culture.