Financial Crime Analyst - Transaction Monitoring (AVP)

Purpose of Job

• Working within the Financial Crime Middle Office on behalf of all EMEA offices, the data analyst will provide insights and enhanced governance over the rule sets employed within the screening and monitoring systems, suggesting data driven changes to these, including system tuning, to increase both the efficiency and effectiveness of these systems.
• To act as the EMEA FCMO subject matter expert on transaction monitoring rule sets, logic and algorithms utilised within them.
• Assist with the testing and configuration of technology updates, system upgrades, new system implementations and regulatory driven changes, that will impact workflows, or systems use. This includes extensive testing on tuning and rule changes, before providing results for sign off by stakeholders across EMEA

Background

• The Rules and List Management Utility is a newly formed team within OPPD – OAD and has been established to ensure that there is a sustainable, independent BAU capability to proactively manage the tuning of Transaction Control applications thus ensuring that the processes are both effective and efficient in detection.
• This role is to be a part of a data analytics capability within the first line financial crime team, to ensure that our TM monitoring system is working at peak effectiveness and efficiency.
• Pre-emptive Data analysis to prevent potential production issues.
• Liaison with technology teams to stay current on Actimize enhancements/changes.
• To assist and participate in projects and new initiatives within the Monitoring programme.
• The role will need to assist and work closely with all members of RLMU and all areas of the CPD Financial Crime Group across EMEA (MLRO and CPD branch representatives), as any changes to system logic will impact the second line oversight and control, they need full transparency on what the change is, the testing results and predicted impacts.
• The role will assist in ensuring that any downstream applications and reporting, still functions as designed, and that any change has not had any unforeseen impact to any other system or team.
• As part of data analysis, the role will highlight emerging threats / patterns of behaviour and proactivity target this, to help prevent attempted criminal behaviour.
• To increase operational efficiency and effectiveness by using financial crime data analytics to tune the systems to reduce false positive and helping bring forward more worthwhile alerts for investigation.

Accountabilities & Responsibilities

• Perform rule threshold reviews, tuning and data analysis - including data trend analysis, rule design, rule development, testing, volume analysis, presentations, and documentation.
• Monitor segment effectiveness and conduct data analysis to identify new segment to increase monitoring accuracy.
• Assist in the creation of MI for senior stakeholders to show system performance.
• Using data science, rule building and ad-hoc analysis of events, work with both internal stakeholders and external system vendors to improve rules, functionality, and metrics within the Banks financial crime systems.
• Providing analytical support to bank-wide projects.
• Performing data extraction, storage, manipulation, processing, and analysis and managing multiple analytical deliveries concurrently.
• Keeping up to date with the latest technical developments within analytics and making sure that changes to industry best practices are adopted.
• Conducting analysis including data gathering and requirements specification in collaboration with business stakeholders.
• Responsible for rule and list management ensuring regular review of rules being utilised for effectiveness and relevance.
• Collaborate with senior stakeholders to understand their needs to enhance existing applications and define improvements to gain both operational efficiencies as well as architectural and infrastructure improvements.

Education & Qualifications

• Demonstrated knowledge of Anti-Money Laundering, and particularly AML monitoring Systems. Preferably, Actimize SAM.
• A good understanding of core Bank products such as Trade Finance, Loans and SWIFT payments.
• Experience with analytical or database querying software such as SQL and Python.
• Experience with data visualisation tools such as Tableau and PowerBI
• The ability to identify wider business impacts or opportunities across key outputs and processes.
• Ability to work unaided on projects and manage their own time to meet deadlines.
• Strong written and verbal communicator, able to articulate and prepare detailed rationale.
• Ability to collaborate with all levels of personnel with differing expertise and backgrounds as part of project workstreams.