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Data Analyst - Financial Crime

Hudson - Brisbane City, QLD

Source: uWorkin


Full Job Description
Our client, a market leader in the financial technology industry, is seeking a Data Analyst to join their established Financial Crimes team. Using your experience in data analysis and sound knowledge of statistical modelling you will develop data analysis methods and provide recommendations for product or technology enhancements to mitigate risk. This is an exciting opportunity to join a team who are dedicated to delivering the best possible outcomes for their clients and are motivated by achieving professional excellence.

This is a permanent opportunity, based in the inner suburbs of Brisbane, with flexible working arrangements.

What you will do:
Develop and validate data analysis and data interrogation methods to provide insight and performance, enabling/recommending risk and product decisions.
Utilise data to provide recommendations mitigating significant risk.
Provide recommendations in the form of analytics, product or technology enhancements and/or rule changes at scale.
Drive the development and introduction of statistical modelling methods, understanding and forecasting the key fraud drivers to enable and enhance more effective decision making.
Drive the department's fraud analytics program supporting Management; incorporating the technical, client, business and systems requirements to maximise efficiency and outcomes for stakeholders.
Provide recommendations at scale sourcing and interpreting data utilising various data sources within the business to provide insights and impact statements.
Provide forethought into the direction of analytics required to address evolving fraud complexity. Recommending strategy and decisions required to address, leading a transitional model from existing fraud rule methodology to statistical and machine learning/AI capabilities.
Work with internal and external stakeholders to generate and manage reporting, including working with reporting lead to migrate & automate reports within Tableau, SSRS and the Datamart / FAD.
Integrate self with other key stakeholders to drive forward thinking discussions on Financial Crimes, discussing key risks and recommendations to address.
Analyse fraud system performance and statistics in relation to current rules.
Regularly review and maintain documented procedures, policies, processes and work instructions for the Analytics team, recommending improvements where appropriate.
Identify and recommend new tools and methods for utilisation within the team to enhance data analytics and reporting

What you will bring:
5+ years experience in a similar role (financial product, payments portfolio management, fraud or risk analyst), ideally within a financial services corporate environment and/or relevant tertiary qualifications in a related discipline i.e. IT, Statistics, Mathematics.
Expert data analytics skills using SQL programming, SSRS, SQL Server, Excel, Access (including VBA).
Sound understanding of statistical modelling and development of models
Sound understanding of Tableau and the use of Business Intelligence tooling
Intermediate to advanced level skills in the use of other Microsoft Office programs.
Experience in the development of customised and automated reports, dashboards and statistical models using relevant software.
Strong analytical, reporting, documentation and organisational skills.
Ability to interpret emerging trends and apply the appropriate measures to minimise risk.
Ability and willingness to work productively and proactively as a member of a team.
Strong attention to detail.

Desirable experience:
Understanding of AML & CTF legislation and transaction monitoring practices.
Familiarity with the fundamentals of fraud and financial crimes monitoring software.
Familiar with non-relational databases.
Not essential but highly sought after - Python experience or familiarity with programming.

Please submit your application via the appropriate link. A cover letter demonstrating your relevant experience may also be reviewed.

Applications close 12pm Friday 4th June. Submissions received following this will be considered for future opportunities.

Should you wish to discuss, please email Jemma.Walker@hudson.com quoting reference number: 202548. Your interest will be treated in the strictest of confidence.