Senior Data Scientist - Finance

Placements24; Bloemfontein; Hybrid; ZAR 1,000,000 - 1,600,000; Full time

Job summary

Placements24 is seeking a Senior Data Scientist for a fully remote role operating from Bloemfontein and serving a global client base. You will build predictive models, optimize financial strategies, and drive innovation with large datasets in fintech contexts.

You will collaborate with product and engineering teams, deploy ML solutions for fraud detection, credit scoring, and more, and mentor junior data scientists while maintaining data pipelines and quality.

Qualifications

• PhD or Master''s in a quantitative field.
• 5+ years in data science with a focus on financial applications.
• Proficiency in Python or R and ML libraries.

Responsibilities

• Design, develop, and deploy ML models for fraud detection, credit scoring, and algorithmic trading.
• Perform advanced statistical analysis and data mining on large, complex datasets.
• Collaborate with product managers and engineers to translate business requirements into data science solutions.
• Develop and maintain data pipelines and ensure data quality and integrity.
• Communicate complex findings to technical and non-technical stakeholders.
• Mentor junior data scientists and contribute to the team''s technical growth.

Skills

Remote collaboration

Problem-solving

Communication

Education

PhD or Master's in a quantitative field

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

About the Role

Our client, a forward-thinking financial technology company operating remotely, is seeking a highly skilled Senior Data Scientist . This position will focus on leveraging advanced analytics, machine learning, and statistical modeling to extract actionable insights from complex financial datasets. You will play a pivotal role in developing predictive models, optimizing financial strategies, and driving innovation within the fintech space, all while enjoying the flexibility of a fully remote work arrangement. Your expertise will be crucial in shaping data-driven decisions from Bloemfontein to a global client base.

Key Responsibilities

• Design, develop, and deploy machine learning models for applications such as fraud detection, credit scoring, and algorithmic trading.
• Perform advanced statistical analysis and data mining on large, complex datasets.
• Collaborate with product managers and engineers to translate business requirements into data science solutions.
• Develop and maintain data pipelines and ensure data quality and integrity.
• Communicate complex findings and insights to both technical and non-technical stakeholders.
• Mentor junior data scientists and contribute to the team's technical growth.

Requirements

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• 5+ years of professional experience in data science, with a focus on financial applications.
• Proficiency in programming languages like Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent problem-solving skills and ability to work effectively in a remote , collaborative environment.

Benefits

• Highly competitive salary and bonus structure.
• Stock options or equity grants.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible working hours.
• Opportunity to work on cutting-edge AI and machine learning projects in the finance sector, with full remote flexibility.