SUMMARY:
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POSITION INFO:
ENVIRONMENT:
A fast-growing FinTech company seeks the expertise of a Data Scientist - Credit Risk Modeller - with experience in GCP (Google Cloud Platform) and products like LookerStudio, Colab and BigQuery. In this role, you will analyse 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. You will require a Master’s/Bachelor’s Degree in in Mathematics/Statistics/Computer Science or relevant field with proven experience as a Data Scientist or in a similar analytical role & proficiency with tools such as GCP (Google Cloud Platform), Google BigQuery, SQL, Python, and data visualization tools like Google LookerStudio. The ideal candidate is analytical, self-driven, adaptable to an unstructured management environment, and passionate about African business, with a sense of adventure and humor.
DUTIES:
Data Collection and Cleaning –
- 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.
Data Analysis and Interpretation -
- 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.
Reporting and Visualization –
- 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.
Data-driven Decision Making –
- 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.
Data Governance and Security –
- 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.
Continuous Learning and Development –
- 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 –
- Master’s 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.
