Data Scientist - Risk Management

Placements24; Durban; On-site; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Health insurance

Relocation assistance

Professional growth opportunities

Collaborative work environment

Job summary

Placements24 in Durban is seeking a highly skilled Data Scientist specializing in risk management to join their on-site team. You will help develop analytical models to identify and mitigate financial risks in the banking sector using advanced statistics and machine learning.

You will collaborate with risk officers and compliance, validate models, back-test performance, and stay current with Basel guidelines.

Qualifications

• Master's or Ph.D. in a quantitative field (Statistics/ Mathematics/ CS/ Finance).
• 4+ years in data science with focus on risk modeling in financial industry.
• Proficiency in Python or R, and SQL experience.
• Strong knowledge of statistical modeling, ML algorithms, and data mining techniques.
• Experience with Basel or regulatory risk management frameworks.

Responsibilities

• Design, develop, and deploy predictive models for credit, market, and operational risk.
• Apply machine learning and statistical analysis to identify emerging risk patterns.
• Collaborate with business stakeholders to define risk metrics and reporting requirements.
• Validate and back-test risk models to ensure accuracy and effectiveness.
• Communicate complex analytical findings to technical and non-technical audiences in Durban.
• Monitor regulatory changes and industry best practices in risk management and data science.

Skills

Data science

Risk modeling

Machine learning

Statistical modeling

Data mining

Education

Master's or PhD in a quantitative field

Tools

Python

R

SQL

Job description

About the Role

Our client is seeking a highly skilled Data Scientist specializing in Risk Management to join their innovative team in Durban . This role is critical for developing and implementing sophisticated analytical models to identify, assess, and mitigate financial risks. You will leverage advanced statistical techniques and machine learning algorithms to enhance risk detection capabilities and drive strategic decision-making within the banking sector. This is an on-site position, requiring close collaboration with risk officers, compliance teams, and business units to ensure robust risk frameworks are in place.

Key Responsibilities

• Design, develop, and deploy predictive models for credit risk, market risk, and operational risk.
• Utilize machine learning techniques and statistical analysis to identify emerging risk patterns.
• Collaborate with business stakeholders to define risk metrics and reporting requirements.
• Validate and back-test risk models to ensure accuracy and effectiveness.
• Communicate complex analytical findings to both technical and non-technical audiences in Durban .
• Stay abreast of regulatory changes and industry best practices in risk management and data science.

Requirements

• Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or Finance.
• Proven experience (4+ years) in data science, with a focus on risk modeling in the financial industry.
• Proficiency in programming languages like Python or R, and experience with SQL.
• Strong knowledge of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with risk management frameworks and regulatory requirements (e.g., Basel).
• Excellent problem-solving abilities and a meticulous attention to detail.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance coverage.
• Opportunities for professional growth and advanced training in data science and risk.
• Relocation assistance may be available for qualified candidates.
• Dynamic and collaborative work environment focused on innovation.