Financial Crime Systems Analyst

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.
  

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