Vacancies at KCB Bank Kenya

KEY RESPONSIBILITIES:

• Together with the Data Scientist and Technology teams, they will partner with business leaders to ensure an in-depth understanding of requirements, and the data required to create advanced analytics solutions.
• Enable automation of advanced analytics solutions using data science algorithms and data structures associated with advanced analytics. 
• Create and maintain data pipelines which will involve data sourcing, extraction, transformation, profiling, storage, updating, indexing and maintenance of the advanced analytics data platforms.  
• Develop and automate metrics, dashboards and reports that consistently monitor and show data governance initiative trends (e.g. data quality reports) through the implementation of guidelines, standards and best practices for data management.
• Process raw, structured and unstructured data at scale (including writing scripts, web scraping, calling APIs, writing SQL queries etc.) into a form suitable for analysis then consolidate into a data platform for consumption by advanced analytics initiatives. 
• Drive innovation through continuous re-engineering of data and advanced analytics jobs, extensive performance tuning and optimizing the application of data across all advanced analytics layers (acquisition, staging, profiling, cleansing, analysis, modelling, output).
• Work with Business teams to understand business requirements and implement data solutions together with business owners through the development of key business questions and datasets that will be used to answer those questions.
• Support implementation of data management and migration projects by working with key stakeholders (Technology and Business) and provide expert input, guidance and feedback in such projects.
• Work closely with product owners and business analysts to develop insights and data solutions. 
• Develop and maintain technical documentation/manuals on configurations, setups and deployment of various advanced analytics solutions.

MINIMUM POSITION REQUIREMENTS:

• A Bachelor’s Degree in Computer Science/Data Science/Information Technology/Engineering/Mathematics from a recognized university or equivalent combination of education and experience 
• A minimum of 4 years’ relevant work experience in data engineering, including experience in the following areas:
  • Great understanding of software development practices, 
  • python programming language (specifically data engineering and data science) and database scripting/programming using Oracle PL/SQL.
  • Use of various data modeling techniques, data warehousing concepts and data management principles.
  • Building dashboards and reports using Data Visualization e.g. Oracle OBIEE, Tableau, Power BI (Power BI is an added advantage) and ETL tools e.g. Oracle ODI/Microsoft SSIS/Alteryx.
  • Use of streaming technologies such as kafka will be an added advantage.
  • collecting, organizing, analyzing and storing large datasets from various sources (Relational Databases, Semi-structured data in text files, logs and Unstructured data in pdf files, websites etc.) with attention to detail and accuracy.
• Broad understanding of the latest Data Science, Analytics and Technology trends and their impact on business strategies and operations 
• Ability to work and meet multiple deadlines, influence others, work well individually and in a team environment.

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Key Responsibilities:

• Design, development and maintenance of credit scoring models for use in core banking products as well as digital lending. 
• Full ownership of the model development process from conceptualization through data exploration, model selection, validation, implementation, and business user training and support.
• Work closely with stakeholders to ensure adequate understanding of risk models and their application. Play a key role in the development of products that rely on credit scoring by providing analytics support in the design of product business rules and strategies.
• Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions using Advanced Analytics for the management of credit risk.
• Development and validation of risk models for use in Loan Pricing, Provisioning, Stress Testing, ICAAP and other applications.
• Understand, measure and manage model risk.
• Assess the effectiveness and accuracy of new data sources, data governance activities (e.g. data quality and cleansing strategies) data gathering techniques and develop processes and tools to monitor, analyze and tune model performance and data accuracy.
• Work with both structured and unstructured data including transforming of large, complex datasets into pragmatic and actionable insights.
• Develop and maintain user and technical documentation/manuals on business requirements, data sources, ETL related activities, data quality assessment, data cleansing activities, data mining analyses, models developed, reports generated and statistical solutions developed and deployed.
• Stay abreast of industry and regulatory trends that may impact new and existing strategy development.

The Person

For the above position, the successful applicant should have the following: 

• A bachelor’s degree in mathematics, Business, Statistics, Economics, Actuarial Science, Computer Science or equivalent combination of education and experience.
• Master’s degree in Statistics / Actuarial Science/Data Science/MBA
• Proficiency in Tools, Languages and Techniques like SQL, R, Python, Supervised and Unsupervised Machine Learning Techniques, this a must requirement.
• Experience in SAS, Stata, SPSS, Matlab, Big data technologies (Map/Reduce, Hadoop, Hive, Spark), Deep Learning Techniques will be a bonus qualification

Key Experience Requirements:

• 5+ Years Minimum Experience- (Required)
• Data Science & Statistical Analysis – 5+ years (Essential)
• Machine Learning Algorithms & Techniques – 4+ years (Essential)
• Credit Risk Management – 3+ years (Desirable)
• Banking/Financial Services – 3+ years (Desirable)
• Stakeholder Management – 3+ years (Essential)
• Management Reporting – 2+ years (Desirable)