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26 Sep 2023

Assistant Manager – Data Analytics at Equity Bank Kenya

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Job Description

Equity Bank Limited (The “Bank”) is incorporated, registered under the Kenyan Companies Act Cap 486 and domiciled in Kenya. The address of the Bank’s registered office is 9th Floor, Equity Centre, P.O. Box 75104 – 00200 Nairobi. The Bank is licensed under the Kenya Banking Act (Chapter 488), and continues to offer retail banking, microfinance and related services. The Bank has subsidiaries in Kenya, Uganda, South Sudan, Rwanda and Tanzania. Its shares are listed on the Nairobi Securities Exchange and Uganda Securities Exchange. Equity Bank was founded as Equity Building Society (EBS) in October 1984 and was originally a provider of mortgage financing for the majority of customers who fell into the low income population.

PURPOSE

We are seeking a highly skilled and experienced Data Analytics Manager to join our Internal Audit Department. This role will be responsible for supporting audit activities through data analysis, developing data-driven audit strategies, and providing valuable insights to enhance risk management and internal controls. The Data Analytics Manager will play a crucial role in utilizing data analytics techniques to identify trends, anomalies, and patterns within large datasets, thereby assisting in effective decision-making and improving overall audit efficiency.

 KEY RESPONSIBILITIES & ACCOUNTABILITIES

  • Utilize advanced data analytics techniques to perform in-depth analysis of structured and unstructured data, identifying trends, outliers, and potential control weaknesses. Collaborate with auditors to understand audit objectives and develop data-driven audit strategies and approaches. Support the planning, execution, and reporting phases of audits, ensuring data integrity and accuracy.
  • Develop an annual continuous audit plan for approval for the Board Audit Committee and execute the approved plan. Use data analytics and our ACL Robotics tool to perform continuous audits, identify control weaknesses, report to management and obtain action plans to address the weaknesses identified.
  • Establish and maintain a comprehensive data analytics framework for the Internal Audit Department. Define and implement standardized data analysis procedures, tools, and templates to streamline the audit process and enhance efficiency. Identify opportunities for automation and continuous monitoring to facilitate proactive risk assessment and control evaluation.
  • Collaborate with auditors to identify key risks, control gaps, and control effectiveness within business processes and systems. Provide expertise in leveraging data analytics to assess the adequacy and efficiency of controls. Develop methodologies and metrics to evaluate control environments, identify control deficiencies, and recommend improvements to mitigate risks.
  • Data Visualization and Reporting: Create visually appealing and insightfuldata visualizations, dashboards, and reports to effectively communicate audit findings, trends, and patterns to stakeholders. Employ data visualization tools and techniques to simplify complex information, enabling management to make informed decisions. Contribute to the development of interactive reporting tools for continuous monitoring of key controls.
  • Establish strong relationships with stakeholders, ensuring effective communication and knowledge sharing. Proactively identify opportunities to leverage data analytics and provide recommendations for process improvements and risk mitigation strategies.
  • Coach, mentor and develop the team of data analysts to ensure they are trained and support in execution of the approved continuous audits plan.
  • Stay abreast of emerging data analytics methodologies, tools, and industry best practices. Participate in training programs, webinars, and conferences to enhance technical skills and stay updated on evolving data analytics trends. Actively contribute to the continuous improvement of the Internal Audit Department’s data analytics capabilities and practices.

REQUIREMENTS 

ACADEMIC & PROFESSIONAL QUALIFICATIONS 

  • Bachelor’s degree in data analytics, computer science, statistics, or a related field.
  • Relevant certifications such as CPA (Certified Internal Auditor), CIA (Certified Internal Auditor), CISA (Certified Information Systems Auditor), or similar are highly desirable.

CRITICAL SKILLS & COMPETENCES

  • At least 5 years data analytics experience gained from reputable institutions, preferably in Banking or a large complex organization.
  • Experience analyzing large quantities of data to derive insights and create new metrics with data extraction and manipulation skills.
  • Proficiency in scripting using tools such as ACL, SQL, Python, Power BI.
  • Proficiency in data analytics and visualization tools
  • Strong understanding of statistical analysis, data modeling, and data visualization principles.
  • Exceptional communication and interpersonal skills, with the ability to build relationships and influence stakeholders at all levels of the organization.
  • Excellent problem-solving and critical thinking skills.
  • Experience in the banking industry and the regulatory framework
  • Excellent analytical skills, with the ability to interpret complex data and identify patterns and trends.
  • Strong project management abilities, including the ability to manage multiple assignments, prioritize tasks and meet deadlines.
  • High attention to detail and a strong commitment to data accuracy and integrity.
  • Continuous learning mindset with the ability to adapt to new technologies and evolving industry trends.
  • Open minded with the ability to learn in a dynamic environment, possesses good commercial awareness and knowledge on international best practice standards in financial reporting (IFRS), IIA Standards and corporate governance


Method of Application

Submit your CV and Application on Company Website : Click Here

Closing Date : 4 October. 2023





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