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Senior Data Scientist - Financial Modeling

Remote / Online - Candidates ideally in
Stellenbosch, 7600, South Africa
Listing for: Placements24
Remote/Work from Home position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer
Job Description & How to Apply Below
About the Role

Our client is seeking a highly skilled Senior Data Scientist with a specialization in Financial Modeling to join their fully remote team. This position is integral to developing advanced predictive models and analytical solutions that drive strategic decision-making within the banking and finance sector . You will leverage large datasets to uncover insights, build sophisticated algorithms, and translate complex findings into actionable recommendations for business stakeholders.

This role offers a unique opportunity to work on cutting-edge data science challenges from anywhere, contributing directly to the company's innovation and competitive edge.

Key Responsibilities
  • Design, develop, and implement advanced statistical and machine learning models for financial forecasting, risk assessment, and customer behavior analysis.
  • Clean, process, and analyze large, complex datasets from various sources.
  • Collaborate with product managers, engineers, and business analysts to define data-driven product strategies and features.
  • Communicate complex analytical results and insights clearly to both technical and non-technical audiences through visualizations and presentations.
  • Stay current with the latest advancements in data science, machine learning, and financial modeling techniques.
  • Mentor junior data scientists and contribute to the team's overall technical growth and best practices in financial modeling .
Requirements
  • Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
  • 5+ years of professional experience as a Data Scientist, with a strong focus on building and deploying financial models.
  • Expertise in programming languages such as Python or R, and proficiency with data manipulation and analysis libraries (e.g., Pandas, Num Py, Scikit-learn).
  • Solid understanding of statistical modeling, machine learning algorithms, and deep learning frameworks.
  • Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
  • Excellent problem-solving skills and the ability to work autonomously in a remote-first environment.
Benefits
  • Highly competitive salary with equity options and performance bonuses.
  • Fully remote work arrangement, offering unparalleled flexibility and work-life balance.
  • Comprehensive global health, dental, and vision insurance.
  • Generous allowance for home office setup and professional development.
  • A forward-thinking, collaborative culture that values innovation and data-driven insights in the financial industry .
Position Requirements
10+ Years work experience
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