Data Scientist - Finance

Placements24; Sandton; Hybrid; ZAR 600,000 - 1,200,000; Full time

Benefits offered by this job

Fully remote

Performance-based bonuses

Professional development opportunities

Flexible work arrangement

Job summary

Placements24 is seeking a highly skilled Data Scientist specializing in Finance to join their remote analytics team. You will leverage advanced statistical techniques and ML models to extract insights from complex financial data, contributing to fraud detection, risk modeling, and algorithmic trading.

The role requires a strong quantitative background, expert Python or R, and familiarity with financial markets.

Qualifications

• Master's or Ph.D. in a quantitative field (Data Science, Stats, CS, Math).
• Proven experience as a Data Scientist in finance.
• Strong programming skills in Python or R and libraries.
• Deep knowledge of statistical modeling and ML techniques.
• Experience with financial markets and data sources.
• Excellent problem-solving and remote collaboration skills.

Responsibilities

• Develop and implement ML models for financial forecasting and risk.
• Analyze large financial datasets for trends and insights.
• Build predictive models for fraud, churn, and market movements.
• Collaborate with data engineers to ensure data quality.
• Communicate findings with stakeholders using visualizations.
• Stay updated on advances in data science relevant to finance.

Skills

Statistical modeling

Machine learning

Communication

Education

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

Tools

Python

R

scikit-learn

TensorFlow

Pandas

SQL

Job description

About the Role

Our client is seeking a highly skilled and innovative Data Scientist specializing in Finance to join their fully remote analytics team. This role is pivotal in leveraging advanced statistical techniques and machine learning models to extract valuable insights from complex financial datasets. You will work on challenging projects related to fraud detection, risk modeling, algorithmic trading, customer segmentation, and predictive analytics. The ideal candidate possesses a strong quantitative background, excellent programming skills, and a deep understanding of financial markets. This position offers a unique opportunity to drive data-informed decision-making in a dynamic, remote-first financial environment.

Key Responsibilities

• Develop and implement machine learning models and statistical algorithms for financial forecasting and risk assessment.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Build predictive models for areas such as fraud detection, customer churn, and market movements.
• Collaborate with data engineers to ensure data quality and accessibility for modeling.
• Communicate findings and recommendations to stakeholders through compelling visualizations and reports.
• Stay abreast of the latest advancements in data science and artificial intelligence relevant to finance.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Proven experience as a Data Scientist with a focus on financial applications.
• Expertise in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, Pandas).
• Strong knowledge of statistical modeling, machine learning techniques , and database querying (SQL).
• Familiarity with financial markets, instruments, and common financial data sources.
• Excellent problem-solving abilities and strong communication skills for remote collaboration.

Benefits

• Highly competitive salary and performance-based bonuses.
• Fully remote work arrangement offering exceptional flexibility.
• Access to cutting-edge tools and technologies for data analysis.
• Opportunities for continuous learning and professional development.
• Engaging and intellectually stimulating work environment with a focus on innovation.