Financial Crime Systems Analyst
AI summary
Safaricom Kenya is hiring a Financial Crime Systems Analyst in Nairobi to support and optimize AML, transaction monitoring, sanctions screening, fraud detection, and case management systems. The role focuses on system configuration, data quality, alert tuning, and adoption of AI and automation to strengthen financial crime detection and compliance.
- Supports Safaricom's AML, transaction monitoring, sanctions, and fraud detection systems
- Involves system configuration, data integrity monitoring, and performance optimization
- Uses AI, machine learning, and automation to improve detection and reduce false positives
- Collaborates with Technology, Data Science, and product teams
- Supports regulatory reviews, audits, and system enhancement projects
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- UnclearRelated work experienceThe text mentions experience, but the exact level should be confirmed at source.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in security, internship, entregadorThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in NairobiThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Financial Crime Systems Analyst evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Safaricom Kenya and the role in Nairobi.
- Add concrete examples related to security, internship, entregador, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from JobWeb Kenya; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- JobWeb Kenya
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Financial Crime Systems Analyst role in security, internship?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Nairobi under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Safaricom Kenya before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
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: 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.