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Financial Crime Analytics Manager

Job Title: Financial Crime Analytics Manager
Contract Type: Permanent
Location: Sydney
Job Reference: 3371326
Contact Name: Niamh Patton
Contact Email:
Job Published: 27 days ago

Job Description

A unique opportunity with a Global Wealth Manager to join their Financial Crime Operation Team, where you will be responsible for the data and analytics function.

The role is responsible for financial crime and fraud management related data extraction, analytics and reporting functions from source systems, identifying and assisting to resolve gaps in data quality and assisting in the review, alteration and creation of new rules within SAS.

The role can be based in either Melbourne or Sydney.

Day to Day Responsibilities:
  • Conduct financial crime and fraud analytics by identifying opportunities to enhance financial crime and fraud prevention and intelligence capabilities.
  • Provide ongoing data analysis and support to the Financial Crime Operations team utilising advanced analytical techniques with a view to support data driven decisions.
  • Build, review and maintain data driven rules and models within financial crime and fraud prevention application systems (e.g.: SAS).
  • Build, review and maintain value add financial crime reporting databases, dashboards and reports.
  • Analysing data and communicating trends to key stakeholders to support financial crime strategies and decisions.
  • Analysing source receivables systems and other data sources to identify the most appropriate data sources required to meet analytic and reporting requirements (e.g.: using advanced SAS and Excel).
  • Regularly assessing the quality and integrity of data sets to identify trends, variances and gaps.
  • Assisting with maintaining financial crime risks assessment models.
  • Engage with and maintain key stakeholder relationships throughout the business to achieve optimal business outcomes.
  • Minimum 4+ years’ experience in a data analytics function (including data visualisation, governance and modelling skills) within a financial services business.
  • Degree qualification in a related field (e.g.: Data Science, Mathematics, Statistics or other relevant field).
  • Demonstrated experience creating and maintaining data driven reports and dashboards from various data sources.
  • Intermediate to advanced SAS statistical modelling and programming experience is essential.
  • Advanced knowledge and experience utilising Excel and Visual Basic is essential.
  • Intermediate SQL knowledge is desirable.
  • Intermediate knowledge and experience utilising other products in the Microsoft Office suite (e.g.: Access, PowerPoint and Word).
  • Intermediate experience utilising Atlassian products (e.g.: JIRA and Confluence).
  • Experience identifying trends and patterns from complex sets of information, and gaps in data and reporting quality.
  • Demonstrated ability to select appropriate data analytic techniques to solve particular business problems.
  • Intermediate to advanced knowledge of data analytics and data manipulation techniques.
  • Ability to communicate complex concepts with technical and non-technical audiences.
  • Previous experience in deploying financial crime reporting and analytics methodologies.
For consideration, please apply via the link below to Niamh Patton at Perigon Group.