Fraud Prevention Analyst: Detect, Protect & Optimize

Westpac; New South Wales; On-site; AUD 90,000 - 130,000; Full time

Job summary

Westpac's Fraud Prevention team is seeking a Fraud Analyst to monitor and recalibrate detection strategies, helping protect customers and the bank from evolving fraud and scams. Using data analytics, you will interrogate large datasets, identify trends, and translate findings into actionable improvements while safeguarding customer experience and brand reputation.

Join a collaborative environment that values continuous learning, stakeholder engagement and innovative risk management as you

Qualifications

• Strong analytical and problem-solving skills.
• High attention to detail and a continuous improvement mindset.
• Experience with SQL, SAS, Python or R for data interrogation.
• Ability to engage with stakeholders across teams.
• Tertiary qualification in Mathematics, Statistics, Computer Science or Engineering desirable.
• Curious mindset and willingness to learn.

Responsibilities

• Monitor and recalibrate detection strategies to mitigate fraud risk.
• Analyse large datasets to identify trends and anomalies.
• Develop meaningful insights to strengthen fraud detection.
• Collaborate with stakeholders to implement detection scenarios.
• Balance fraud controls with customer experience and brand integrity.

Skills

Analytical thinking

Problem solving

Attention to detail

Stakeholder communication

Data interrogation

Education

Math/Statistics/CS/Eng degree

Tools

SQL

SAS

Python

R

Job description

Westpac's Fraud Prevention team is seeking a Fraud Analyst to monitor and recalibrate detection strategies, helping protect customers and the bank from evolving fraud and scams. Using data analytics, you will interrogate large datasets, identify trends, and translate findings into actionable improvements while safeguarding customer experience and brand reputation.

Join a collaborative environment that values continuous learning, stakeholder engagement and innovative risk management as you