Remote Data Scientist - Finance

Placements24; LegKraal Gate; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Retirement plan

Learning opportunities

Fully remote

Job summary

Placements24 is seeking an innovative Remote Data Scientist specializing in Finance to support operations nationwide from an admin hub near Mahikeng. Leverage advanced analytics, ML, and statistical modeling to solve financial challenges and drive product innovation.

Work with large datasets to uncover insights and build predictive models for risk, fraud, and customer behavior. The role requires a PhD or Master's in a quantitative field, 5+ years of experience in finance-related data science,

Qualifications

• Master's or PhD in a quantitative field.
• At least 5 years as a Data Scientist, with finance focus.
• Strong Python or R programming skills.
• Proficient in SQL and big data tools (Spark/Hadoop).
• Solid knowledge of statistical modeling and ML algorithms.
• Experience in Banking & Finance sector.
• Excellent problem-solving and remote collaboration abilities.

Responsibilities

• Design and deploy ML models for credit scoring, fraud detection, and analytics.
• Analyze large datasets to identify trends and insights for financial markets.
• Build and maintain data pipelines ensuring data quality and accessibility.
• Collaborate with product, engineering, and business stakeholders to define DS projects.
• Communicate complex results clearly through visuals and reports.
• Stay updated with advances in DS, ML, and AI.

Skills

Data science

Python

SQL

Remote collaboration

Education

Master's degree in a quantitative field

PhD in a quantitative field

Tools

Pandas/NumPy/Scikit-learn

TensorFlow

Spark

Hadoop

Job description

About the Role

Our client is seeking an innovative Remote Data Scientist with a specialization in Finance to join their forward-thinking team, supporting operations nationwide from their administrative hub near Mahikeng . This fully remote role is at the forefront of leveraging advanced analytics, machine learning, and statistical modeling to solve complex financial challenges, enhance decision-making, and drive product innovation. You will work with large datasets to uncover insights, build predictive models for risk assessment, fraud detection, and customer behavior. The ideal candidate possesses a strong blend of technical expertise, analytical rigor, and a solid understanding of the financial services industry, enabling them to translate data into actionable business strategies.

Key Responsibilities

• Design, develop, and deploy machine learning models for applications such as credit scoring, fraud detection, and algorithmic trading.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights relevant to financial markets.
• Build and maintain data pipelines, ensuring data quality, integrity, and accessibility for analysis.
• Collaborate with product managers, engineers, and business stakeholders to define data science project requirements and deliver solutions.
• Communicate complex findings and model results clearly to both technical and non-technical audiences through visualizations and reports.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Contribute to the development of data-driven strategies and product enhancements.

Requirements

• Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
• 5+ years of professional experience as a Data Scientist, with a significant focus on financial applications.
• Strong programming skills in Python or R, including experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
• Proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop).
• Solid understanding of statistical modeling, machine learning algorithms, and experimental design.
• Experience in the Banking & Finance sector, including knowledge of financial products and markets.
• Excellent problem-solving skills and the ability to work effectively in a remote, collaborative environment.

Benefits

• Highly competitive salary with significant bonus potential.
• Comprehensive health, dental, and vision insurance.
• Generous retirement savings plan.
• Opportunities for continuous learning, attending conferences, and professional certifications.
• Fully remote work arrangement with excellent work-life balance.
• Access to state-of-the-art technology and data infrastructure.