Data Scientist - Credit Risk Modeller
Financial Services, Fintech
Minimum Requirements
- Reporting and Visualization
- Data-driven Decision Making
- Data Governance and Security
- Continuous Learning and Development
- in GCP (Google Cloud Platform) and its products like LookerStudio, Colab and BigQuery.
- In this role, you will analyze complex data sets, create insightful visualizations, and work closely with stakeholders to develop solutions that support data-driven decision-making.
- You will be responsible for extracting insights, identifying trends, building predictive models and presenting findings to enhance operational efficiency and optimize business processes.
- The ideal candidate is analytically skilled, self-driven, adaptable to an unstructured management environment, and passionate about African business, with a sense of adventure and humor
- 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
- Bachelor's or Master's degree in a relevant field ( Mathematics, Statistics, Computer Science, Data Analytics/Science)
- 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
- Strong analytical and problem-solving
- with keen attention to detail
- Ability to handle and analyze large datasets efficiently
- with statistical analysis techniques and data modeling
- Excellent communication and presentation
- 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
- Proven experience as a Data Scientist or in a similar analytical role, with demonstrated expertise in the credit industry
- Strong analytical and problem-solving skills with keen attention to detail
- Excellent communication and presentation skills
Responsibilities
- Data Collection and Cleaning
- Data Analysis and Interpretation
- Reporting and Visualization
- Data-driven Decision Making
- Data Governance and Security
- Continuous Learning and Development
- 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
- 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
