Financial Crime Systems Analyst

Job Title

Financial Crime Systems Engineer

Company/Organisation Name

Safaricom

Location

Not specified

Job Description and Responsibilities

The role supports the development, optimization, and continuous enhancement of Safaricom’s financial crime systems, including Anti-Money Laundering (AML), Transaction Monitoring, Sanctions Screening, Customer Risk Rating, Fraud Detection, and Case Management platforms. The role is responsible for ensuring these systems operate effectively, leverage high-quality data, and deliver timely, risk-based insights to support the detection, prevention, and reporting of financial crime in line with regulatory requirements and Safaricom policies.

The role works closely with Technology, Data Science and product teams with the analyst supporting system configuration, data integrity monitoring, alert analysis, and performance optimization. The role contributes to the implementation and adoption of intelligent financial crime solutions, leveraging automation, advanced analytics, artificial intelligence (AI), machine learning, and behavioural monitoring techniques to strengthen detection capabilities, improve alert quality, reduce false positives, and enhance operational efficiency across financial crime processes.

The Financial Crime Systems Engineer also plays a key role in supporting digital transformation and innovation initiatives by identifying opportunities to automate manual activities, streamline investigations, enhance management reporting, and improve decision-making through data-driven insights. The role supports regulatory reviews, audits, model validations, and system enhancement projects while ensuring Safaricom maintains a resilient, scalable, and future-ready financial crime control environment capable of responding to evolving financial crime threats, emerging technologies, and changing regulatory expectations.

Responsibilities

• Support the administration, configuration, maintenance, and optimization of financial crime systems.
• Monitor data quality and integrity, and collaborate with relevant teams to strengthen governance and controls.
• Optimize detection scenarios, perform trend analysis, and reduce false positives while maintaining regulatory compliance.
• Support the implementation and adoption of advanced analytics, AI, machine learning, and automation solutions.
• Participate in system upgrades, implementations, enhancements, testing, and change management activities.
• Provide analytical and technical support to Financial Crime Compliance and Operations teams during investigations.
• Develop and maintain reports, dashboards, and management information to support investigations and decision-making.
• Collaborate with stakeholders to enhance financial crime controls within Agile delivery.
• Identify opportunities for innovation and continuous improvement in financial crime detection capabilities.
• Ensure appropriate risk management practices are in place to mitigate system-related financial crime risks.

Requirements/Qualifications

• Relevant degree in Business, Engineering or IT Undergraduate Degree or relevant field along with professional qualifications.
• Competencies in software development/system configuration, data extraction technologies, and platforms such as C#, Java, JavaScript, React.
• Understanding of Agile Methodology, Machine learning, Bot development, Penetration Testing, QA, Project Management, Micro services, SANs security compliance, and Technical documentation.
• At least 2 years as a software engineer/developer or data science experience.
• Proficiency in data analysis and trend profiling using Power BI, Qlik sense.

How to Apply / Application Instructions

If you feel that you are up to the challenge and possess the necessary qualification and experience, kindly proceed to create/update your candidate profile on the recruitment portal, fill in your necessary work experiences and then Click on the apply button. Remember to attach your resume.