the strong leadership of a highly technical Senior Data Engineer to join its team. You will be responsible infrastructure and systems that enable efficient data processing, storage, and retrieval. You will also help ensure the availability and reliability of data for analysis and decision-making. The successful similar discipline with 4-5years' work experience in Data Engineering, Database Administration, or a related or Informatica. DUTIES: Data Architecture and Modeling - Design and develop data architectures that support
business is repeat business. ENVIRONMENT: JOIN the Data Team of a fast-growing FinTech company with a footprint continent seeking a highly skilled Junior – Mid Data Scientist to help execute the credit scoring roadmap must also have a solid understanding of data warehouses and data structures. DUTIES: Client Limit Management translate business problems into analysis. Proficient in Data Analysis tools (Google Big Query, SQL, Python, R) abilities. Have a basic understanding of data warehouses and data structures. Optional: Passion for Africa
operating environments e.g., Windows Server Admin, Linux Admin. Design algorithms. Design of Spec &
ENVIRONMENT: ANALYSE complex data sets and create insightful visualizations to help make data-driven decisions as expertise is sought to fill the role of a Senior BI Data Analyst for a fast-growing FinTech company with years suitable work experience with proficiency in Data Analysis tools GCP (Google Cloud Platform), Google SAS, SQL, Python, R and data visualization tools Google Looker. DUTIES: Data Collection and Cleaning Collect, extract, and compile data from various sources, ensuring data accuracy and completeness. Clean
You will require a Master's Degree in Statistics/Data Science or related discipline with 5 years' work with proficiency in Python or R. DUTIES: Analyse data sets to identify factors correlated with Credit better Credit Risk outcomes by integrating models and data-driven approaches into operational processes. Determine sufficiently cover changing Credit Risk. Analyse complex data sets using SQL and other tools to extract insights Risk and Data Analysts. REQUIREMENTS: Qualifications – Master's Degree in Statistics, Data Science, Actuarial
You will require a Master's Degree in Statistics/Data Science or related discipline with 5 years' work with proficiency in Python or R. DUTIES: Analyse data sets to identify factors correlated with Credit better Credit Risk outcomes by integrating models and data-driven approaches into operational processes. Determine sufficiently cover changing Credit Risk. Analyse complex data sets using SQL and other tools to extract insights Risk and Data Analysts. REQUIREMENTS: Qualifications – Master's Degree in Statistics, Data Science, Actuarial
to daily banking while preparing and submitting data for payments transmission and processing direct Daily balancing of transactions. Prepare and submit data for payments transmission to bank and reconciling
database schemas to reduce redundancy and improve data retrieval times. Implement indexing and other optimization the Integrity and Security of Data - Develop and enforce policies for data handling and storage to ensure
(essential): Golang & Typescript. Design and build data stores with complex relationships (relational or security. CS fundamentals in object-oriented design, data structures, algorithm design and complexity analysis
Work with PostgresDB to manage data storage solutions, ensuring data integrity and optimal performance