Remote Data Scientist - Financial Risk

Placements24; Bloemfontein; Hybrid; ZAR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Fully remote

Access to advanced data resources

Remote-first culture

Professional growth

Job summary

Placements24 is seeking a remote Data Scientist with a strong background in financial risk modeling. You will design predictive models for credit, market, and operational risk and collaborate with risk teams to define requirements.

The role emphasizes independent work, rigorous validation, and staying current with data science advances in a remote-first environment.

Qualifications

• Master's or PhD in a quantitative field such as Data Science or Statistics.
• 5+ years of experience as a Data Scientist focusing on financial risk modeling.
• Strong programming in Python or R with libraries like scikit-learn, TensorFlow, PyTorch.

Responsibilities

• Design and implement predictive models for credit, market, and operational risk.
• Apply ML and statistical techniques to large datasets and extract insights.
• Collaborate with risk teams and stakeholders to define modeling requirements and interpret results.
• Validate and back-test model performance for accuracy and robustness.
• Stay updated on advances in data science and financial risk management.

Education

Master's or PhD in Data Science/Statistics/Mathematics/CS

Tools

Python

R

Job description

About the Role

Our client, a forward-thinking financial services company, is seeking a highly skilled Remote Data Scientist with expertise in Financial Risk modeling. This position is fully remote and offers the chance to work with cutting-edge data and advanced analytical techniques to develop sophisticated risk assessment models. You will contribute to mitigating financial risks, optimizing risk management strategies, and ensuring regulatory compliance across the organization. This role is perfect for an independent, results-oriented data scientist who thrives in a remote setting and is passionate about leveraging data to solve complex financial challenges.

Key Responsibilities

• Design, develop, and implement predictive models for credit risk, market risk, and operational risk.
• Utilize machine learning algorithms and statistical techniques to analyze large datasets and extract actionable insights.
• Collaborate with risk management teams and business stakeholders to define modeling requirements and interpret results.
• Validate and back-test model performance, ensuring accuracy and robustness.
• Stay abreast of the latest advancements in data science, machine learning, and financial risk management.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
• Proven experience (5+ years) as a Data Scientist, with a focus on financial risk modeling.
• Strong programming skills in Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Expertise in statistical modeling, machine learning techniques, and data mining.
• Excellent understanding of financial markets, risk management principles, and regulatory frameworks.

Benefits

• Highly competitive salary and comprehensive benefits package.
• Full remote work flexibility, allowing you to work from anywhere.
• Access to advanced technology and extensive data resources.
• Opportunities for professional growth and continuous learning in a remote-first culture.
• Impactful work that directly influences the company's risk strategy and financial stability.