Data Scientist - Financial Modeling

Placements24; LegKraal Gate; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary & bonus

Health & retirement benefits

Professional development opportunities

Hybrid work model

Cutting-edge fintech projects

Job summary

Placements24 is seeking a skilled Data Scientist with a specialization in financial modeling for its Mahikeng analytics team. You will leverage large datasets to build predictive models, optimize financial strategies, and drive data-informed decisions within banking and finance.

You will collaborate with cross-functional teams in a hybrid work environment, applying advanced analytical techniques to real-world financial challenges in South Africa.

Qualifications

• Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field.
• Proven experience in developing and deploying predictive models, particularly in financial contexts.
• Proficient in Python or R and libraries like scikit-learn, TensorFlow, or PyTorch.
• Strong knowledge of statistical modeling, ML algorithms, and data mining techniques.

Responsibilities

• Develop, validate, and deploy advanced statistical and ML models for financial forecasting and risk assessment.
• Analyze complex datasets to identify trends and insights related to financial performance.
• Design and implement A/B tests to evaluate model performance and business impact.
• Collaborate with stakeholders to translate analytical requirements into data science projects.
• Build and maintain data pipelines, ensuring data quality and accessibility for modeling.

Skills

Statistical modeling

Machine learning

Data analysis

Communication

Education

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

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

SQL

Spark

Hadoop

Job description

About the Role

Our client is seeking a highly skilled and innovative Data Scientist with a specialization in financial modeling to join their advanced analytics team in Mahikeng . This role will involve leveraging large datasets to develop sophisticated predictive models, optimize financial strategies, and drive data-informed decision-making within the banking and finance industry . You will work with cutting-edge technologies and collaborate with cross-functional teams to tackle complex business challenges. This is a unique opportunity for a data expert to apply advanced analytical techniques to real-world financial problems in a hybrid work setup that fosters both independent research and collaborative innovation.

Key Responsibilities

• Develop, validate, and deploy advanced statistical and machine learning models for financial forecasting and risk assessment.
• Analyze complex datasets to identify trends, patterns, and insights relevant to financial performance.
• Design and implement A/B tests and experiments to evaluate model performance and business impact.
• Collaborate with business stakeholders to define analytical requirements and translate them into actionable data science projects.
• Build and maintain data pipelines, ensuring data quality and accessibility for modeling purposes.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Proven experience in developing and deploying predictive models, particularly in financial contexts.
• Proficiency in programming languages such as Python or R, and expertise in libraries like scikit-learn, TensorFlow, or PyTorch.
• Strong knowledge of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with SQL and big data technologies (e.g., Spark, Hadoop) is advantageous.
• Excellent problem-solving skills and the ability to work effectively in a collaborative, hybrid team environment in Mahikeng .

Benefits

• Highly competitive salary and significant bonus potential based on performance and innovation.
• Comprehensive health, retirement, and wellness benefits package.
• Access to advanced technological resources and professional development opportunities.
• Hybrid work model offering flexibility and work-life balance.
• Opportunity to work on impactful projects within the evolving landscape of financial technology .