Reporting to the Lead Transaction Monitoring & Systems, 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
Financial
Crime Systems Management
- Support the administration, configuration, maintenance, and
optimization of financial crime systems, including AML, Transaction
Monitoring, Sanctions Screening, Customer Risk Rating, Fraud Detection,
and Case Management platforms.
- Ensure systems operate effectively, efficiently, and in line with
regulatory requirements, industry standards, and internal policies.
- Monitor system performance and recommend improvements to enhance
effectiveness and operational resilience.
Data
Quality and Integrity
- Monitor and validate data feeds, interfaces, and system inputs to
ensure completeness, accuracy, timeliness, and integrity of financial
crime data.
- Investigate and resolve data quality issues impacting financial
crime detection and reporting.
- Collaborate with Data, Technology and Cyber teams to strengthen
governance, controls, and data management practices for AML systems.
Detection
Optimization and Alert Management
- Support the tuning, calibration, and optimization of detection
scenarios, rules, thresholds, and risk indicators.
- Perform trend analysis on alerts, cases, and suspicious activity to
identify opportunities for improving detection effectiveness.
- Reduce false positives while maintaining regulatory compliance and
enhancing risk detection capabilities.
Advanced
Analytics, AI, and Automation
- Support the implementation and adoption of advanced analytics,
artificial intelligence (AI), machine learning, and behavioural monitoring
solutions.
- Identify opportunities to automate manual processes and improve
investigation workflows.
- Contribute to initiatives that improve alert prioritization, risk
scoring, and operational efficiency.
- Assist with model validations, effectiveness assessments, and
control testing exercises.
System
development & enhancement
- Participate in system upgrades, implementations, enhancements,
testing, and change management activities.
- Assist in gathering business requirements and translating financial
crime risk management needs into system solutions.
- Ensure enhancements are documented, tested, and implemented in
accordance with governance standards.
Financial
Crime Investigations Support
- Provide analytical and technical support to Financial Crime
Compliance and Operations teams in the investigation of alerts and cases.
- Develop and maintain system-generated reports, dashboards, and
management information to support investigations and decision-making.
- Support the escalation and reporting of significant system-related
issues affecting financial crime controls.
- Support regulatory reviews, audits, inspections, and independent
assurance activities.
Reporting
and Management Information
- Develop and maintain meaningful management reports, dashboards, and
key risk indicators (KRIs).
- Produce analysis and insights on system performance, alert trends,
detection effectiveness, and emerging risks.
- Support senior management decision-making through accurate and
timely reporting.
Stakeholder
Collaboration
- Work closely with all teams Sanctions, KYC, Investigations,
Compliance, Operations, Data, Technology, Risk, and Business teams to
enhance financial crime controls within Agile delivery.
- Provide subject matter expertise on financial crime systems and
technologies.
- Facilitate effective communication between business and technical
stakeholders during projects and system changes.
Innovation
and Continuous Improvement
- Identify opportunities to enhance financial crime detection
capabilities through emerging technologies and industry best practices.
- Support digital transformation initiatives aimed at improving
efficiency, effectiveness, and customer outcomes.
- Continuously review processes and controls to ensure the institution
maintains a scalable, resilient, and future-ready financial crime
framework.
Risk
Management
- Identify, assess, and escalate system-related financial crime risks
and control weaknesses.
- Ensure appropriate controls are implemented to mitigate risks
associated with system failures, data integrity issues, and model
performance.
- Support ongoing monitoring of emerging financial crime typologies,
threats, and regulatory developments.
Health
and Safety
- •Uphold the company code of conduct, policies and procedures,
ensuring integrity and accountability in every aspect of your work.
- •All employees have a responsibility to adhere to safety, health,
and wellbeing policies, guidelines and procedures in all actions and
decisions
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 e.g. {C#, Java, Java Script 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
