Senior Data Scientist - Financial Modeling

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

Benefits offered by this job

Performance-based bonuses

Remote work setup

Health, dental, and vision insurance

Professional growth opportunities

Job summary

Placements24 is seeking a Senior Data Scientist specializing in Financial Modeling to join a fully remote team. You will leverage advanced statistical techniques and ML to build robust financial models driving key business decisions, risk assessment, and analytics.

You will collaborate with quantitative analysts, traders, and engineers to productionize models and communicate complex findings to stakeholders. A PhD or Master’s in a quantitative field is preferred, with 5+ years of experience.

Qualifications

• PhD or MSc in a quantitative field (Statistics, CS, Math, Physics, Finance).
• 5+ years as a Data Scientist with emphasis on financial modeling.
• Proficient in Python or R and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with large-scale data manipulation and SQL/NoSQL databases.
• Strong grasp of financial markets, risk management, and independent remote work.

Responsibilities

• Design, develop, and implement advanced statistical and ML models for financial applications.
• Build predictive models for market trends, credit risk, and fraud detection.
• Clean, transform, and analyze large datasets to extract actionable insights.
• Collaborate with analysts, traders, and engineers to productionize models.

Skills

Statistical modeling

Machine learning

Financial modeling

Python

R

SQL/NoSQL

Remote work

Communication

Education

PhD or MSc in quantitative field

Tools

TensorFlow

PyTorch

scikit-learn

SQL

NoSQL

Python

R

Job description

About the Role

Our client is seeking a highly skilled Senior Data Scientist specializing in Financial Modeling to join their innovative and fully remote team. In this role, you will leverage advanced statistical techniques and machine learning algorithms to develop sophisticated financial models that drive critical business decisions. You will work on diverse projects, including risk assessment, fraud detection, algorithmic trading strategies, and predictive analytics. This is a unique opportunity for a data expert who thrives on complex challenges and wants to work from anywhere, impacting the financial landscape.

Key Responsibilities

• Design, develop, and implement advanced statistical and machine learning models for financial applications.
• Build predictive models for market trends, customer behavior, credit risk, and fraud detection.
• Clean, transform, and analyze large datasets to extract actionable insights.
• Collaborate with quantitative analysts, traders, and engineers to integrate models into production systems.
• Communicate complex findings and model methodologies clearly to both technical and non-technical stakeholders.
• Stay abreast of the latest advancements in data science, machine learning, and financial modeling techniques.

Requirements

• Ph.D. or Master's degree in a quantitative field such as Statistics, Computer Science, Mathematics, Physics, or Finance.
• 5+ years of professional experience as a Data Scientist, with a strong focus on financial modeling.
• Expertise in programming languages like Python or R, and libraries such as TensorFlow, PyTorch, scikit-learn.
• Proven experience with large-scale data manipulation and database technologies (SQL, NoSQL).
• Deep understanding of financial markets, quantitative finance, and risk management principles.
• Demonstrated ability to work independently and manage projects effectively in a remote setting.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive remote work setup and support.
• Generous health, dental, and vision insurance coverage.
• Significant opportunities for professional growth and continuous learning.
• Flexible working hours and a culture that values autonomy and innovation.