Data Scientist - Financial Modeling

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

Benefits offered by this job

Fully remote work arrangement

Job summary

Placements24 is seeking an accomplished Data Scientist specializing in Financial Modeling to join our fully remote team. You will build predictive models for strategic financial decisions, working with large datasets and communicating insights to both technical and non-technical stakeholders.

The ideal candidate has a strong quantitative background, expertise in Python or R, and experience with ML libraries.

Qualifications

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
• 6+ years of data science experience with a focus on financial modeling and predictive analytics.
• Proficiency in Python or R and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Strong SQL skills and experience with large datasets and cloud platforms.

Responsibilities

• Develop, validate, and deploy advanced financial models using ML and statistics.
• Analyze large datasets to identify trends and anomalies in financial performance.
• Collaborate with finance to translate business needs into data science solutions.
• Design and run A/B tests and experiments to evaluate model performance.
• Communicate findings clearly to stakeholders through visualizations and reports.
• Stay up-to-date with advances in data science and financial analytics.

Skills

Data science expertise

Python or R

SQL

Cloud platforms

Communication skills

Education

Master's or Ph.D. in Data Science/Statistics/CS/Economics

Tools

scikit-learn

TensorFlow

PyTorch

Job description

About the Role

Our client is seeking an accomplished Data Scientist specializing in Financial Modeling to join their fully remote team. This role is vital for leveraging advanced data analytics and machine learning techniques to build sophisticated predictive models that drive strategic financial decisions. You will work with complex datasets, extract meaningful insights, and communicate findings to both technical and non-technical stakeholders. The ideal candidate will have a strong quantitative background, expertise in programming languages commonly used in data science, and a passion for solving complex financial problems through data-driven approaches, all within a flexible remote environment.

Key Responsibilities

• Develop, validate, and deploy advanced financial models using machine learning and statistical techniques.
• Analyze large datasets to identify trends, patterns, and anomalies relevant to financial performance.
• Collaborate with finance teams to understand business needs and translate them into data science solutions.
• Design and conduct A/B tests and other experiments to evaluate model performance.
• Communicate complex findings and recommendations clearly to stakeholders through visualizations and reports.
• Stay current with the latest advancements in data science, machine learning, and financial analytics.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
• Proven experience (6+ years) in data science, with a focus on financial modeling and predictive analytics.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL and working with large datasets.
• Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies.
• Excellent analytical, problem-solving, and communication skills.

Benefits

• Highly competitive salary and performance-based incentives.
• Fully remote work arrangement providing excellent work-life balance.
• Access to state-of-the-art data analysis tools and infrastructure.
• Opportunities for professional growth and attending industry conferences.
• Collaborative environment focused on innovation and cutting-edge financial technology.