Financial Crime Technology Manager - Data Analytics, AML

Alexander Ash Consulting Limited
London (Greater)
08 Mar 2018
16 Mar 2018
Contract Type
Full Time
Financial Crime Technology Manager - Data Analytics, Actimize, Oracle Mantas, BAE Systems, Fiserv, Pega, Fenergo, SQL, SAS, SPSS, R, AML

Our Client, a reputable consulting firm, is currently looking for experienced Financial Crime Technology Managers with expertise in AML technologies and strong analytical background to join growing Financial Crime Unit. They have ambitious plans and are looking for individuals who can develop and build our go-to-market Financial Crime propositions and excel in client delivery.

In order to be successful you will need to show ability in most of the following areas:

* Understanding of the relevant Financial Services regulations in the UK, US, and ideally in other jurisdictions
* Experience with assessing, implementing and/or optimising AML technologies (Actimize, Oracle Mantas, BAE Systems, Fiserv, Pega, Fenergo, etc.)
* Advanced data analytics techniques, using platforms such as SQL, SAS, SPSS, R
* Experience in visualisation products such as Tableau and QlikView
* Advanced MS Excel (VBA and macros)

You will also need to have:

* Track record of managing data project delivery and project teams including ability to meet deadlines, overcome challenges, manage stakeholder expectations and produce project deliverables
* Strong analytical and problem solving capabilities
* Strong stakeholder management and interpersonal skills
* Excellent presentation and report writing skills
* Ability to develop new ideas into structured, deliverable proposals and projects
* Ability to identify and address client needs, develop and maintain meaningful client relationships

Desirable Skills:

* Previous experience in AML technology role either in Compliance, Operations, MI & Data Analytics, Risk or with a Technology Vendor
* Knowledge of the UK and European financial crime regulatory environment
* Understanding of statistical analysis methods and the ability to apply these in the appropriate circumstances
* Experience of business analysis tasks and approaches
* Data modelling and/or data architecture experience
* Experience of the software development lifecycle
* Knowledge of different DBMSs (Data Base Management System) and ETL technologies
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