Albany Beck is a consultancy specialising in delivering high-quality change, technology, data and regulatory solutions across financial services. We partner with leading banks, asset managers, insurers and other financial institutions to provide experienced consultants who can support complex business and transformation programmes.
Client Deployment Role Description
We are looking for an AML Business Data & Financial Crime Systems Analyst to join Albany Beck and support one of our financial services clients in Ireland.
This role sits within the Financial Crime/AML function and focuses on the systems, data and processes that the AML team relies on day to day.
You will work closely with AML Operations, Compliance, Technology and Data teams to ensure Financial Crime systems and processes are working effectively. This will include supporting system changes and enhancements, testing, resolving system and data issues, understanding data flows, improving AML processes and working with Technology teams and external vendors when changes are required.
This would suit someone with a strong understanding of AML/Financial Crime who has gained exposure to the systems and technology supporting areas such as Transaction Monitoring, Screening and Customer Risk Assessment.
You do not need to be a developer or highly technical IT specialist. We are looking for someone who understands Financial Crime and is comfortable working between AML teams and Technology to support and improve the systems and processes they use.
Key Responsibilities
- Support the day-to-day operation and continuous improvement of Financial Crime/AML systems and processes.
- Support system changes, enhancements, testing and UAT, ensuring changes meet AML business requirements.
- Investigate and help resolve system, process and data issues affecting Financial Crime activities.
- Work with Technology teams and external vendors to troubleshoot issues and implement changes.
- Support the configuration and testing of Financial Crime systems and workflows.
- Understand and help document data flows between Financial Crime systems and upstream/downstream applications.
- Identify and investigate data-quality issues affecting AML processes and reporting.
- Support enhancements to Transaction Monitoring, Screening and Customer Risk Assessment processes.
- Contribute to the testing and optimisation of Transaction Monitoring rules, scenarios and thresholds where required.
- Support system upgrades, releases, migrations and other Financial Crime technology changes.
- Maintain clear documentation covering AML systems, processes, controls and changes.
- Produce and validate Financial Crime MI, reporting and analytical datasets.
- Identify opportunities to simplify, automate and improve manual AML processes.
- Work collaboratively across AML Operations, Compliance, Technology, Data and third-party vendors.
Key Skills & Experience
- Previous experience working within AML, Financial Crime or Financial Crime Technology.
- Good understanding of core AML processes such as Transaction Monitoring, Screening, KYC/CDD and Customer Risk Assessment.
- Experience working with Financial Crime, AML, Transaction Monitoring or Screening systems.
- Some experience of supporting system changes, enhancements, UAT/testing, configuration, implementation or issue resolution.
- Comfortable investigating problems and working with Technology teams to identify and implement solutions.
- An understanding of data quality, data flows and reporting within an AML or Financial Crime environment.
- Strong analytical and problem-solving skills.
- Experience contributing to process improvement, automation or operational efficiency.
- Strong communication skills with the ability to work across both business and technical teams.
- Experience with Oracle FCCM or Oracle Compliance Studio.
- Experience with other Financial Crime platforms such as NICE Actimize, NetReveal or similar technologies.
- Experience with screening or Financial Crime data providers such as LexisNexis.
- SQL experience.
- Power BI, Power Platform or other data/automation tools.
- Experience supporting Transaction Monitoring rule, scenario or threshold changes.
- Experience with AML system implementations, migrations or upgrades.
- Experience analysing or resolving Financial Crime data-quality/data-feed issues.
- Experience with AML regulatory or management reporting.
- Exposure to Financial Crime analytics, automation or model optimisation.