Data Scientist - Finance

About the Role

Our client is seeking a highly skilled and innovative Data Scientist specializing in finance for a fully remote position. This role is critical for leveraging advanced analytics, machine learning, and statistical modeling to derive actionable insights from complex financial data. You will work on challenging projects related to risk modeling, fraud detection, customer analytics, and algorithmic trading, contributing directly to strategic business decisions.

This is an exceptional opportunity for a data-savvy professional to shape data-driven strategies within a leading financial organization, working from anywhere.

• Develop and implement advanced statistical and machine learning models for financial forecasting, risk assessment, and anomaly detection.
• Clean, process, and analyze large, complex datasets from various financial sources.
• Collaborate with business stakeholders to define analytical requirements and translate them into data science solutions.
• Design and conduct experiments to test hypotheses and evaluate model performance.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences through visualizations and reports.
• Stay abreast of the latest advancements in data science, machine learning, and financial technology.

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 4 years of professional experience in data science, with a focus on financial applications.
• Strong proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, Num Py, Scikit-learn, Tensor Flow).
• Experience with SQL and No
  
  SQL databases, as well as big data technologies (e.g., Spark, Hadoop).
• Solid understanding of financial markets, products, and risk management principles.
• Excellent analytical, problem-solving, and communication skills.

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Generous paid time off and a flexible work schedule.
• Significant opportunities for professional development and continuous learning.
• Fully remote role, allowing for unparalleled work-life integration from any location, supporting our presence previously in Polokwane.