Openings at Safaricom Kenya

Brief Description

Reporting to the Head of Big Data & Analytics, the position holder will lead the data science team to create value from Safaricom’s vast amount and variety of data using advance analytical and statistical methods and models to answer complex business questions. This will serve to aid in decision making, unlock new revenue opportunities and areas to create efficiency through deep insights. The role requires deployment of Artificial Intelligence driven by Safaricom’s data to create Machine learning models and solutions to deliver specific business relevant use cases.  Safaricom is investing heavily in big data and this will be a truly exciting role in view of the organizations unique data set and position in this region.

Key Responsibilities

• Data mining using state-of-the-art methods
• Selecting features, building and optimizing classifiers using machine learning techniques
• Processing, cleansing, and verifying the integrity of data used for analysis
• Collaborate with business units and engineering teams to understand and prioritize company needs and devise possible solutions based on business use cases
• Create various machine learning-based tools or processes within the company, such as recommendation engines or automated lead scoring systems to drive revenue or create cost efficiencies
• Create visualizations using state of the art visualization tools
• Lead and manage data science team

QUALIFICATIONS

• BSC. or MS. in Computer Science, Statistics, Mathematics or equivalent practical experience
• 5 – 8 years data science working experience and with a leadership role.
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests
• Experience with common data science toolkits, such as R, Weka, NumPy, MatLab
• Experience with data visualization tools, such as D3.js, GGplot
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
• Good applied statistics skills, such as distributions, statistical testing, regression
• Good scripting and programming skills
• Good understanding of big data technologies like Hadoop
• Strong communications and interpersonal skills and quick grasps to understand business problems

go to method of application »

Brief Description

Reporting to the Head of Department-Credit & Collections, the role holder will be responsible for driving departmental analytics & initiatives to sustain continuous improvement and support of Business units. The job holder will partner with key internal resources to provide data supported insights on new initiatives to expand current capabilities and/or improve existing risk management processes. He/she will work closely with business analytics, scoring and product management teams to grow the credit portfolio. This position will also be responsible for the management of Credit risk in customers with a view to minimize bad debts and enhancing revenue for post-pay customers.

Responsibilities

• Derive advanced quantitative analysis to make informed risk decisions
• Design and development of effective credit risk management models for the mobile lending product
• Definition of a collection strategy for each portfolio to optimize portfolio profitability
• Continuous research and testing to assure effectiveness of the credit risk models, policies and tools in use by the business
• Portfolio monitoring to identify trends and mitigation strategies to achieve target credit risk metrics
• Ensure business and product heads understand and accept their credit risk management responsibilities 
• Use analytical models to evaluating clients’ credit data and financial statements in order to determine the degree of risk involved in extending credit to them
• Analyzing client records and using the data to recommend payment plans
• From time to time report on Credit risk view for public COs
• Assess & report credit risk under multiple climate scenarios 
• Generate periodical Business credit reports & market intelligence
• Responsible for management & timely collection of digital product debt portfolio
• Define an effective collection strategy for each digital product to optimize cash collection.
• Minimize NPL and ensure it is maintained at organization’s acceptable level.
• Deliver automation on credit control key processes to enhance efficiency
• Spearhead section initiatives towards achieving department key objectives
• Preparation and monitoring of section budget
• Manage the objective setting & PDR Review Processes
• Manage and grow talent within the section
• Preparation of Management reports and audit schedules

Qualifications

• A Bachelor of Commerce honors Degree from a recognized University.
•  A CFA (K), CPA (K), ACCA,  ACA will be an added advantage.
• Relevant professional qualification in Credit Management preferably Diploma in Credit Management.
• Must have 8 years’ experience in Credit and/or Risk Management in a busy environment of which 2 years should be in a Management level with proven track record. Sound understanding of the sales environment and strong attention to detail as well as organization skills.