Vacancies at Equity Bank Kenya

Job Purpose:

The Audit Analytics Assistant Manager is responsible for driving the adoption of data analytics, automation, and continuous auditing methodologies within the Group's audit function. This role plays a critical part in developing and implementing data-driven audit approaches, leveraging advanced analytics techniques, automation tools, and visualization platforms to enhance audit efficiency, effectiveness, and risk coverage.

Job Responsibilities:

Data Analytics and Automation:

• Develop and implement data analytics solutions to support audit processes, including risk assessment, control testing, and data analysis.
• Identify opportunities for automating audit procedures, tasks and design automated workflows and scripts to improve efficiency and consistency.
• Collaborate with auditors and subject matter experts to understand audit requirements and translate them into data analytics and automation solutions.
• Perform data extraction, transformation, and analysis using various data analytics tools and techniques, such as SQL, Python, or R.
• Develop and maintain data analytics models, scripts, and workflows to support continuous auditing and monitoring processes.

Audit Visualization and Reporting:

• Design and develop interactive dashboards, reports, and data visualization tools to communicate audit findings, risk assessments, and performance metrics effectively.
• Collaborate with auditors and stakeholders to understand their reporting and visualization requirements.
• Ensure data visualizations are accurate, insightful, and easy to interpret for various audiences.
• Continuously enhance data visualization and reporting capabilities to improve communication and understanding of audit results.

Continuous Auditing and Monitoring:

• Contribute to the design and implementation of continuous auditing and monitoring programs.
• Develop and maintain automated scripts, queries, and dashboards to enable real-time monitoring of key risk areas and control deficiencies.
• Collaborate with IT teams and business units to establish data sources, data governance frameworks, and automated reporting mechanisms.

Technical Guidance and Training:

• Provide technical guidance and support to auditors in utilizing data analytics tools, automation scripts, and visualization platforms.
• Develop and deliver training programs to enhance the data analytics and automation skills of the audit teams.
• Stay updated with emerging data analytics techniques, automation tools, and visualization best practices, and share knowledge with the team.

Stakeholder Collaboration:

• Work closely with IT teams, business units, and other relevant stakeholders to understand their data needs, processes, and reporting requirements.
• Foster effective communication and collaboration to ensure the successful implementation of data analytics, automation, and visualization initiatives within the audit function

 Qualifications

• Bachelor’s degree in quantitative fields such as computer science, statistics, mathematics, or a related discipline. Advanced degree(s) preferred.
• Professional certifications in data analytics, audit automation, or data visualization are desirable
• Minimum of 5 years of experience in: 
  • data analytics
  • audit automation
  • continuous auditing
  • or related roles.
• Proficiency in data analytics languages (e.g., SQL, Python, R) and visualization tools (e.g., Power BI, Tableau, QlikView).
• Proficient in the use of Audit analytics tools such as Alteryx, IDEA, ACL etc.
• Familiarity with audit methodologies, processes, and industry best practices.
• Excellent analytical and problem-solving skills, with the ability to translate business requirements into data-driven solutions.
• Strong communication skills, both written and verbal, for effective reporting, training, and collaboration with stakeholders.
• Ability to work in a team environment and collaborate with cross-functional teams.
• Willingness to travel domestically and internationally as required.
• Results orientation
• High integrity and strength of character

go to method of application »

Job Purpose:
The backend developer will be responsible for building scalable RESTFul APIs, the server-side application logic, integration with both internal and external systems.

Job Responsibilities/ Accountabilities:
Strategy, Planning & Execution

• Design, build and maintain efficient RESTFul APIs in C#
• Build Reusable Code and Library for Future Use
• Design and Implementation of data storage solutions
• Work with Frontend and Mobile App developers to define RESTFul API specs
• Work well with technical and non-technical people to deliver high value results
• Participating in Sprint Planning and tracking work items

Qualifications

 Essential Knowledge

• 5+ years' experience developing applications in C#
• 3+ years of experience in ASP.NET Core
• Experience with SOAP and REST services
• Good understanding of DevOps and CI/CD practices
• Familiarity with container technologies like Docker and K8s
• Experience with SQL Server, Oracle Database and MongoDB
• Experience with cloud technologies Azure/AWS
• Experience with OAuth and JWT Tokens
• Knowledge of API Management solutions
• Knowledge of MicroService Architecture
• Experience with gRPC
• Experience with Kafka
• Experience with unit and integration testing

 Preferred

• Experience with building integrations to messaging platforms is preferred
• Experience with Google Dialogflow is a plus

Personal Attributes:

• Must be able and willing to collaborate in a team/cooperative environment as well as exercise independent judgment and initiative.
• Strong analytical, decision-making, and problem-solving skills.
• Is extremely logical, detail oriented with a keen attention to detail.
• Demonstrated ability to prioritize workload and meet multiple project deadlines.
• Ability to conduct research into systems issues and products as required.
• Highly self-motivated and self-directed.
• Ability to effectively prioritize and execute tasks in a high-pressure environment.
• Experience working in a team-oriented, collaborative environment.
• Proven ability to quickly learn new applications, processes, and procedures.
• Structured thinker, effective communicator with excellent written and oral communication skills.
• Excellent listening and interpersonal skills.