Data Specialist - Fraud Data

About the Data Specialist - Fraud Data Role at ANZ

Role: Data Specialist – Fraud Data
Job Type: Group 4.2, Permanent
Location: Manyata Tech Park, Bengaluru
Business Unit: Customer Protection / Customer Service Operations

Join our Customer Protection Strategy & Performance team as a Fraud Data Specialist. In this pivotal role, you’ll support the broader Customer Protection teams by designing and delivering automated solutions to enhance Fraud and Scam prevention strategies. Be a promoter of our data-driven culture, bringing your deep expertise in data management and reporting.

Your impact will extend beyond just data management; you'll inspire change, implement effective data solutions, generate actionable insights, and drive rapid decision-making to thwart Fraud and Scams. You will ensure adherence to ANZ's architecture standards while leveraging Cloud platforms to develop Fraud and Scams Data Products.

At ANZ, we are transforming the banking sector, offering our employees opportunities to innovate, learn, and grow. Be a part of our future while building your career.

Key Responsibilities

• Manage BAU processes and initiatives related to Fraud and Scams Data
• Ensure data quality and accuracy while identifying patterns and trends
• Provide insights to support informed decision-making
• Design and deliver Fraud and Scams Data Products
• Develop dashboards and data assets
• Support timely delivery of insights through key data platform monitoring processes
• Identify trends to optimise fraud rules and strategies, minimising ANZ's exposure to fraud
• Define and deliver the end-to-end data roadmap
• Promote data literacy and self-service analytics across stakeholders

Qualifications and Skills

To excel in this role, you should possess:

• 10-15 years of experience with strong technical leadership skills
• Knowledge and experience in Fraud/Scams/Payment domains
• Technical expertise in data analytics or data engineering
• Over 7 years of SQL experience handling large datasets
• Proficiency with analysis, data manipulation, and visualization tools (e.g., SQL, SAS, Python, Tableau, Qlik)
• Experience with Cloud data services (BigQuery, DBT, DataFlow) is a plus
• Ability to work independently with a keen eye for detail and accuracy
• An analytical mindset ready to unearth insights for business recommendations
• Strong communication and presentation skills

Additional qualifications that will set you apart:

• Experience designing and documenting data solutions
• Track record of delivering complex data initiatives end-to-end

Why Join ANZ?

ANZ is at the forefront of banking and financial services, operating in over 30 markets worldwide. Our Bengaluru team, with over 7,500 members, is the largest hub for technology, data, and operations outside of Australia, playing a vital role in delivering the bank’s strategy for our millions of global customers.

We foster a culture of innovation and belonging, where everyone can thrive. Offering flexible working options and benefits like health and wellbeing services, ANZ is committed to building a diverse workplace. We encourage applications from everyone and provide necessary adjustments for candidates with disabilities.

Application Deadline

Submit your application by 11:59 PM on 07/06/2024 (Melbourne, Australia).