Baobab is the leading digital financial inclusion group focusing on serving individuals, micro and small businesses in Africa and China. Baobab's mission is to unleash the potential of the organization's clients offering them simple and easy to use financial services. Founded in 2005 as Microcred, today Baobab has over 700,000 customers and 3,800 employees operating in Burkina Faso, China, Democratic Republic of Congo, Ivory Coast, Madagascar, Mali, Nigeria, Senegal, Tunisia and Zimbabwe.
About the Job:
Baobab is seeking an experienced data and machine learning scientist to help steer the next generation of algorithms and play a key role in the company's data science initiatives, in particular, but not limited to, applying data-driven machine learning techniques and technologies to large data sets.
The role requires hands-on application of and in-depth knowledge of data science tools, involving combining traditional and non-traditional techniques to solve key business problems and opportunities. This role will also require strong business acumen, the ability to interact with distant subsidiaries and the delivery of end-to-end analytical solutions - from conceptualizing an analytical framework for a specific problem to translating the insights back to actionable business recommendations.
The Chief Data Officer will report to the Group Chief Risk Officer and will lead the data analytics unit of Baobab Holding. He/she will collaborate with all departments’ heads to deliver data analytics needs. In particular, the position is expected to contribute to leveraging data to:
Improve credit risks within the group;
Develop Digital Data based Marketing on specific population segments.
Tasks and Responsibilities:
Build and enhance current data infrastructure based on existing data captured by Baobab;
Identify and capture new data, from Baobab ecosystem and beyond, to support growth and digitalization objectives.
Analyze all data to make sense to it and derive business decision engines;
Design and launch innovative and complex analytic models, utilizing a blend of contemporary and traditional data mining techniques, to apply to both structured and unstructured data sets;
Scopes, designs, and implements machine-learning models to support the business’s initiatives and programs with a view to achieving overall objectives and targets.
Prepare for the future of digital financial services:
Create new data sciences capabilities by envisioning and executing strategies that will deliver compelling business opportunities and influence improvement of the performance;
Identify and respond to analytics / data trends and opportunities. Research and develop next-generation analytical techniques/tools where existing ones are not adequate to address business challenges.
A minimum of ten years’ experience of leadership in data analytics, including, statistical modeling, machine learning, forecasting, Big Data, reporting;
Proven ability to translate operational and strategic challenges into data driven analysis enabling optimized decision making;
Prior experience in financial inclusion services, in the area of credit risk and / or data analytics, in particular building machine learning models in credit risk landscape;
Exposure to Africa and / or China unbanked sectors;
Written and spoken English;
Experience with leading visualization tools (Tableau, BIME, Qlikview), MS Office and Google suite;
Proficient in SQL and R statistical package, Python a plus; Familiarity with NoSQL databases (MongoDB);
Degree, MS, or PhD in a quantitative field like Statistics, Economics, Mathematics, Computing and Engineering.
How to Apply:
Interested candidates should submit their CV and a cover letter to [email protected]with "VSEN-DATA-MGR" in the subject line.