Senior Analytics Analyst, Financial Crime

• Develop and implement data-driven solutions to maintain and enhance compliance with Financial Crime obligations
• Foster strong relationships with internal stakeholders to drive change and improve the efficiency and effectiveness of financial crime monitoring solutions
• An opportunity to join an innovative, collaborative, and high-performing team

About The Role

Role Location: 839 Collins Street, Docklands VIC 3008

Role Type: Permanent – Full Time

In this role, you will be responsible for design and development of detection capabilities / solutions within financial crime filtering solutions. You will be working closely with other members of the tuning team and the Financial Crime Governance and Advisory teams to align new and enhanced detection solutions with identified risks.

You will also have a strong emphasis on developing new methods of detecting potential suspicious matters, utilising advanced data analysis and coding techniques. There is an emphasis on developing improved solutions for more complex businesses units and products / services and in documenting these solutions to meet governance requirements.

About You

To be successful in this role, you will ideally bring the following:

• Data Science experience especially in Text Analytics (Topic modeling and Sentimental analysis) and Social Network Analysis (Graph Theory & Centrality Analysis) in Python.
• Experience in applying advanced data management / manipulation skills – Excel, SQL, SAS, Python, and Machine Learning.
• Strong written and verbal communication skills with the ability to communicate complex issues in a clear and succinct manner to non-technical persons.
• Able to manage priorities and conflicting issues in a professional manner, including strong influencing skills.
• Deep understanding and awareness of statistical and data concepts and their application in solving real world problems.
• Experience in Financial Crime/ Regulatory/ Compliance and or financial systems is preferred. 
• Appropriate university degree in Quantitative discipline supported by practical application of knowledge in industry (Economics/Statistics/ Information Technology)

About ANZ

At ANZ, everything we do boils down to ‘why’ – our purpose – to shape a world where people and communities thrive. We're just as focused on seeing our people thrive as well as our customers. We'll give you every opportunity to develop your career.

We are responding faster to changing customer requirements, focusing on the things that matter the most, energising our people, eliminating waste and reducing bureaucracy.

A happy workplace is a thriving one. So in order to attract and keep the best talent, and say thanks for the hard work, we make sure all our employees are rewarded.

ANZ recognises the value of an inclusive and diverse work environment. We take pride in the diversity of our people and encourage applications from diverse candidates. Our recruitment decisions are based on the key needs inherent requirements of each role, and candidates are selected based on their unique strengths and characteristics.

We work flexibly at ANZ. Talk to us and let us know how this role can be flexible for you.

To find out more about working at ANZ or to view other opportunities visit www.anz.com/careers. You may apply for this role by visiting ANZ Careers and search for reference number Taleo Job Code (AUS132775)

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