Open Vacancies at Equity Bank Kenya

• Reporting to Head Data Science, the Data Scientist will apply data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyze phenomena. Model complex business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualization techniques, working closely with internal and external stakeholders, data, technology and support teams to turn data into critical information used to make sound business decisions. Execute intelligent automation and predictive modeling. 

Responsibilities of the Data Scientist 

• Support in the gathering of data for use in Data Science models, ensuring that chosen datasets best reflect the organization's goals.  
• Perform data pre-processing including data manipulation, transformation, normalization, standardization, visualization, and derivation of new variables/features. 
• Document business requirements 
• Develop model documentation for the purpose of model validation 
• Develop dashboards and presentations for business insights using tools like Power BI and Microsoft power point 
• Utilize advanced data analytics and mining techniques to analyze data, assess data validity and usability; reviews data results to ensure accuracy; and communicate results and insights to stakeholders. 
• Use data profiling and visualization techniques using tools to understand and explain data characteristics that will inform modelling approaches. 
• Communicate data information to business with various skill levels and in various roles, presenting trends, correlations and patterns found in complicated datasets in a manner that clearly and concisely conveys meaningful insights and defend recommendations. 
• Develops and maintains optimal evaluation techniques to ensure that modelled outcomes are rigorous and creates model performance tracking. 
• Competent in Machine Learning programming in Python, with supplementary still in Java, etc. Familiar with the Hadoop distributed computational platform, including broader ecosystem of tools such as HDFS / Spark / Kafka 

Qualifications

Qualifications and Experience  

• Degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field.  
• Working experience in the finance industry via direct employment or consultancy is preferred 
• 1-3 years’ experience in working with structured and unstructured data (e.g. Streams, images) Understanding of data flows, data architecture, ETL and processing of structured and unstructured data.
• Using data mining to discover new patterns from large datasets. Implement standard and proprietary algorithms for handling and processing data. Experience with common data science toolkits. Experience with data visualization tools, such as Power BI, Tableau, etc. 
• Proficiency in application and web development. Structured and Unstructured Query languages e.g. SQL, Power BI; QlikView; Tableau, R, Python, JSON, Java, HTML 
• Experience with the use of GIT 

go to method of application »

This role will be responsible for leading and executing audits across various departments and functions within the Bank, focusing on leveraging data analytics and IT systems to enhance internal controls and risk management.

Key Accountabilities

• Risk-Based Planning: Lead the development of a dynamic, risk-based annual audit plan specifically focused on emerging thematic risks aligned with the Bank’s strategic objectives.
• Identify specialized competencies required to deliver complex thematic reviews in a rapidly changing environment.
• Take end-to-end accountability for the thematic audit portfolio, engaging executive stakeholders before, during, and after assignments to ensure alignment.
• Appreciate and understand the role of IT systems, technologies, and automation in the control environment. Leverage technology to enhance the effectiveness and efficiency of audit procedures, including the use of continuous monitoring and auditing techniques. Collaborate with IT stakeholders to assess system controls, security protocols, and data integrity.
• Identify and evaluate risks associated with key business processes, systems, and controls. Assess the adequacy of control environments, including design and operating effectiveness of controls. Provide recommendations for control enhancements and risk mitigation strategies, with a focus on leveraging technology and IT solutions to strengthen controls.
• Prepare concise and well-structured audit reports that highlight findings, risks, and recommendations in a clear and actionable manner. Present audit results to senior management and stakeholders. Communicate effectively with auditees, providing guidance on control improvements and addressing any concerns or questions.
• Conduct follow up of audit issues with management and report the status of remediation monthly.
• Stay abreast of emerging audit practices, industry trends, and regulatory changes. Identify opportunities to enhance audit methodologies, data analytics techniques, and the utilization of IT in the control environment. Share best practices and provide guidance to junior auditors in leveraging technology for audit purposes.

Qualifications

Qualifications and Experience

• Bachelor’s degree in accounting, Finance, or Business. A Master’s degree is highly preferred for this senior level.
• Certification: Full CPA (K) or CIA equivalent professional certification.
• Technical Tools: Proficiency in Alteryx, Teammate, and Power BI for advanced data analytics.
• At least 12 years of internal or external audit experience gained from reputable institutions, preferably in Banking or big 4 Audit Firm.