Published
Profession
Industry
Seniority
Senior-level Accounting, finance, banking, insurance jobs in Nairobi, Kenya
1
jobs
Equity Bank Kenya
Senior Manager – Audit Automation, Analytics & Models
Nairobi, Kenya
KCB Group
CLOSEDSenior Manager, Capital Management - Group Treasury
Nairobi, Kenya
KCB Group
CLOSEDHead Of Sustainable Finance
Nairobi, Kenya
NCBA
CLOSEDHead, IT Retail Banking
Nairobi, Kenya
NCBA
CLOSEDHead, Platform Partnerships
Nairobi, Kenya
NCBA
CLOSEDHead Of LOOP Grow Business
Nairobi, Kenya
NCBA
CLOSEDSenior Manager, Card Operations
Nairobi, Kenya
Get personalised job alerts directly to your inbox!
KCB Group
CLOSEDSenior Manager - Funding & Integration Management
Nairobi, Kenya
Closing: Jun 19, 2024
1 day remainingPublished: Jun 6, 2024 (13 days ago)
Job Requirements
Education:
Work experience:
Language skills:
Job Summary
Contract Type:
Sign up to view job details.
Qualifications
- Bachelor’s Degree in a quantitative field such as computer science, statistics, mathematics, or a related discipline. Advanced degree(s) preferred.
- Professional certifications such as CISA, Certified Data Analyst (CDA), Certified Analytics Professional (CAP), or equivalent.
- 8+ years of experience in data analytics, audit automation, scripting, data transformation, Continuous Auditing and Controls Monitoring or related roles.
Responsibilities
Qualifications
- Bachelor’s Degree in a quantitative field such as computer science, statistics, mathematics, or a related discipline. Advanced degree(s) preferred.
- Professional certifications such as CISA, Certified Data Analyst (CDA), Certified Analytics Professional (CAP), or equivalent.
- 8+ years of experience in data analytics, audit automation, scripting, data transformation, Continuous Auditing and Controls Monitoring or related roles.
1. Data Analytics, Automation, and Visualization Strategy:
- Develop and implement a comprehensive data analytics, automation, and visualization strategy for the audit function, aligning with the Group's overall audit objectives and risk management framework.
- Identify opportunities for leveraging data analytics, automation, continuous auditing methodologies, and data visualization to improve audit processes, risk assessment, monitoring capabilities, and communication of audit findings.
- Drive the adoption of advanced data analytics tools, techniques, and visualization platforms, including machine learning, artificial intelligence, predictive modeling, and interactive dashboards.
- Foster a data-driven culture within the audit teams, promoting the use of data-driven insights, decision-making, and effective communication through visualizations.
2. Continuous Auditing, Monitoring, and Reporting:
- Design and implement continuous auditing and monitoring programs to enable real-time risk assessment and timely identification of control deficiencies.
- Collaborate with IT teams and business units to establish data sources, data governance frameworks, and automated reporting mechanisms.
- Develop and maintain interactive dashboards, reports, and data visualization tools to provide real-time visibility into key risk areas, audit findings, and performance metrics.
3. Model Risk Audit Oversight:
- Lead and oversee the model risk audit team, ensuring the effective assessment and governance of models used for risk management, pricing, capital calculation, and decision- making processes.
- Develop and implement a comprehensive model risk audit program, covering model development, validation, implementation, and monitoring processes.
- Ensure compliance with relevant model risk management regulations, guidelines, and industry best practices.
4. Team Management and Development:
- Manage and mentor a team of data analytics professionals, model risk auditors, data visualization experts, and subject matter experts, providing guidance, training, and professional development opportunities.
- Foster a collaborative and innovative environment, encouraging knowledge-sharing and continuous improvement within the teams.
- Identify and address skill gaps and develop training programs to enhance team capabilities in data analytics, automation, visualization, and model risk auditing.
5. Stakeholder Management and Collaboration:
- Collaborate with IT teams, business units, risk management functions, and other relevant stakeholders to understand their data needs, model requirements, risk profiles, and reporting/visualization requirements.
- Collaborate with IT teams to ensure data required to support audit automation, continuous audits and other data related initiatives is availed.
- Establish effective communication channels and promote transparency in the application of data analytics, automation, visualization, and model risk audit initiatives.
Applications submitted via Fuzu have 32% higher chance of getting shortlisted.