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    Data Analyst - London, United Kingdom - Sumitomo Mitsui Banking Corporation – SMBC Group

    Sumitomo Mitsui Banking Corporation – SMBC Group
    Sumitomo Mitsui Banking Corporation – SMBC Group London, United Kingdom

    1 week ago

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    Description

    Must have experience with Transaction Monitoring or Sanctions within Financial CrimePurpose of JobWorking 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, further they will complete daily reconciliations to ensure that the sanctions list's, which transactions, entities and individuals are screened against, are current and accurate.

    To act as the EMEA FCMO subject matter expert on the sanctions screening, transaction monitoring and fraud systems and the rule sets, logic and algorithms utilised within them.

    Assist with the testing and configuration of technology updates, system upgrades, and new system implementations within the Transaction Control and Transaction Monitoring areas.

    This includes extensive testing of tuning and rule changes, before providing results for signoff by stakeholders across EMEABackgroundThis role is to be part of a data analytics capability within the first line financial crime team, to ensure that our monitoring / screening systems are working at peak effectiveness and efficiency.

    The role will include the reconciliation of sanction lists observed by the organisation, to ensure they have been correctly loaded into our screening systems.

    Serves as Sanctions Screening / Monitoring SME in regard to Screening technology platforms and rule / exception management.
    Enhanced governance for the deployment of rules and exceptions.
    Pre-emptive new rule analysis to prevent potential production issues.
    Liaison with technology teams to stay current on Fircosoft / Actimize platform enhancements/changes.
    To participate in projects and new initiatives within the Screening / Monitoring programme.
    Assist in the creation of MI for senior stakeholders to show system performance.

    The role will need to work closely with all areas of the CPD Financial Crime Group across EMEA (MLRO / Sanctions / Forensic), as 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 ensure 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.

    Facts / ScaleThis role will have exposure and contact to CPD teams across the EMEA region, as the systems they will be monitoring, handle transactions from across EMEA and the Nikko CM team.

    This role has no direct reports from a management / snapshot perspective.

    However, the role will work closely with all areas of the team and be expected to arrange for assistance in information gathering, testing, and training.

    This role will have contact with EMEA FCMO teams for information sharing and advice on technology updates.

    There will be regular interaction with the PDIS development teams in relation to system implementations, technology change / updates and system testing.

    The role will work on all relevant scheduled technology roll outs and may be assigned to any projects that require FCMO SME input in relation to data sets and the monitoring systems.

    Accountabilities & ResponsibilitiesWork with the fraud, sanctions, and AML analysts and using data from the systems, drive understanding of trends noted.

    Ensure all sanction lists observed by the organisation are correctly loaded into the monitoring systems.

    Work with both internal and external technology providers to bring together a suit of MI to help articulate the current 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 concurrentlyKeeping 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 stakeholdersResponsible for rule and list management ensuring regular review of rules being utilised for effectiveness and relevance.

    Knowledge, Skills, Experience & QualificationsKnowledge and experience of Financial Crime technology/systems/processes - Particularly in The Transaction Monitoring and Sanctions space.

    An understanding of the Banks processed and core system and how these interact with the monitoring and sanction systems.

    A good understanding of core Bank products such as Trade Finance, Loans and SWIFT paymentsExperience with analytical or database querying software such as SQL and Python along with cloud technology such as AWS and SnowflakeExperience with data visualisation tools such as Tableau and PowerBIThe 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.
    The role requires excellent communication skills, both written and verbal.
    Ability to collaborate with all levels of personnel with differing expertise and backgrounds as part of project workstreams.
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