Cape Town: Data Scientist (Credit Risk Modeller) (CPT) posted by DataFin Recruitment

About the Role

A fast-growing FinTech company in Cape Town is seeking a Data Scientist – Credit Risk Modeller with experience in Google Cloud Platform (GCP) and products like LookerStudio, Colab, and BigQuery. The ideal candidate will analyse complex data sets, create insightful visualizations, and work closely with stakeholders to develop solutions that support data-driven decision-making.

Key Responsibilities

• Collect, extract, and compile data from various sources, ensuring accuracy and completeness.
• Clean, transform, and structure raw datasets for advanced analytics and predictive modeling.
• Identify and resolve data quality issues, inconsistencies, and anomalies.
• Utilize technologies such as SQL, Python, and BigQuery, while staying up-to-date with the latest trends and developments in data analytics.

• Perform exploratory data analysis to identify trends, patterns, and relationships within the data.
• Apply statistical techniques, data visualization and predictive modeling to generate actionable insights.
• Translate business problems into rigorous analytical frameworks and model designs.
• Build and maintain multiple predictive models end-to-end, from feature engineering to deployment-ready solutions.
• Implement robust validation frameworks and monitor models for performance, stability, and drift.
• Collaborate with stakeholders to understand business requirements and translate them into analytical approaches.

• Create visualizations, dashboards, and reports using Google Looker to effectively communicate data insights to stakeholders.
• Develop and maintain standardized reporting templates and data visualization tools.
• Present findings in a clear and concise manner, tailoring the information to the needs of the audience.

• Collaborate with cross-functional teams to support data-driven decision-making processes.
• Provide analytical support for business initiatives, including market analysis, customer segmentation, and performance tracking.
• Identify opportunities for process improvement, operational efficiency, and revenue optimization through data analysis.

• Ensure compliance with data governance policies, data protection regulations, and security protocols.
• Adhere to data privacy and confidentiality standards when handling sensitive information.
• Contribute to the development and maintenance of data dictionaries and documentation.

• Stay updated on industry trends, best practices, and emerging technologies in data analysis.
• Expand knowledge of statistical techniques, data modelling, and data visualization tools.
• Participate in training programs, workshops, and professional development opportunities.

Requirements

### Qualifications

Masters or Bachelor’s Degree in a relevant field (Mathematics, Statistics, Computer Science, Data Analytics/Science).

Experience/Skills

• Proven experience as a Data Scientist or in a similar analytical role, with demonstrated expertise in the credit industry.
• Proficiency in data analysis tools such as GCP (Google Cloud Platform), Google BigQuery, SQL, Python, and data visualization tools like Google LookerStudio.
• Ability to handle and analyse large datasets efficiently.
• Experience with statistical analysis techniques and data modeling.
• Proficiency in Microsoft Excel and other data manipulation tools.
• Familiarity with data governance principles and best practices.
• Knowledge of data privacy regulations and compliance standards is a plus.

Attributes

• Strong analytical and problem-solving skills with keen attention to detail.
• Excellent communication and presentation skills.