Fraud and Risk Ops Analyst

Fraud/Risk Ops Analyst

Education: Bachelor's degree preferred in Business Analytics, Finance, Economics, Statistics, Applied Math, Business Administration, Information Systems, or a related field — or equivalent practical experience (e.g., relevant internship, bootcamp/certificate in data analytics, or demonstrated SQL/analytical proficiency)

Required Skills:

• Comfortable navigating through multiple Google Sheets, exposure to SQL (3-5+ years)
• Foundational experience or coursework in fraud/risk operations, process improvement, or security triage
• Strong process and governance instincts — comfortable identifying inefficiencies and proposing fixes
• Working SQL skills and basic coding ability for data validation (supporting, not primary, skill set)
• Clear communicator, comfortable coordinating across teams on investigative or operational matters
• Structured, detail-oriented approach to problem-solving; comfortable asking for help and guidance
• Growth mindset — eager to learn quickly, take feedback well, and take ownership of operational tasks
• Comfortable executing well-defined tasks on time in a fast-paced, contract capacity

Preferred Skills:

• Exposure to Account Takeover fraud (ATO) and Australian Taxation Office (ATO) investigations (3-5+ years)
• Prior internship or entry-level experience in fraud/risk operations, security triage, or process/quality management (3-5+ years)
• Exposure to governance frameworks in a regulated industry (fintech, banking, payments) (3-5+ years)

About the Role:

We're looking for a Fraud/Risk Ops Analyst contractor to join Client's Security, Risk & Fraud team with a focus on operations. This is a foundational role: you'll serve as the first line of defense on fraud/risk triage, drive process and governance improvements, and collaborate across teams to keep operations running smoothly — while building core analytical skills under guidance.

Duties:

• Operations & Triage (primary focus)
• • Serve as first line of defense on fraud/risk issues — triaging and validating cases, confirming attribution, and escalating more complex cases to L2 analysts
  • Recommend actions and process changes to address negative trends identified through data analysis
  • Lead or support structured initiatives to improve systems and operational workflows, inspiring adoption of best practices
  • Translate business/team requirements into analytical or governance frameworks
  • Collaborate with other teams to recommend and coordinate solutions to investigative matters
  • Identify roadblocks in day-to-day operations, communicate ambiguities or issues, and proactively seek solutions to keep work moving
  • Deliver assigned operational tasks on time, communicating progress transparently and integrating smoothly with the team's ongoing efforts
• Analytics Support (secondary)
• • Support data pipeline work and dashboarding as needed to inform operational decisions
  • Apply SQL and foundational statistical methods to validate data and interpret trends
• Customer & Team Impact
• • Build understanding of how operational work affects customers by interpreting feedback, support signals, and usage data
  • Actively seek feedback, learn from mistakes, and support peers to build collaboration skills