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About the Role
Lead the development of data, analytics, and modeling capabilities to support financial crime and fraud risk management. This role combines technical expertise with strategic influence to transform complex data into meaningful insights for critical business decisions.
Responsibilities
- Lead the design and delivery of financial crime and fraud analytics, providing trend analysis, behavioral insights, and risk intelligence.
- Develop, enhance, and monitor analytical models, risk indicators, and key metrics across customer, transaction, and fraud risk.
- Champion data quality and governance by overseeing data integrity, lineage, and controls.
- Translate complex data into actionable intelligence, delivering evidence-based insights to inform strategic priorities and risk decisions.
- Develop and maintain executive dashboards, reporting, and analytical tools for senior stakeholders.
- Drive continuous improvement across analytics capabilities through automation and advanced analytics.
- Build strong relationships across Risk, Technology, Data, Compliance, and business teams to embed a data-driven approach.
Requirements
- At least eight years of experience in Data Analytics, Business Intelligence, or Data Science, ideally within Financial Services.
- Experience in Financial Crime or Fraud Analytics is highly regarded but not essential.
- Strong expertise in data analytics, modeling, data governance, and working with large, complex datasets.
- Experience developing meaningful reporting, dashboards, and analytical solutions using modern visualization and analytics tools.
- Strong analytical mindset with the ability to identify trends, patterns, anomalies, and emerging financial crime or fraud risks.
- Ability to translate complex technical analysis into clear, practical insights that influence business and risk decisions.
- Experience working collaboratively with technical and non-technical stakeholders to solve complex business problems.
- Excellent communication and stakeholder engagement skills, with the ability to present insights to senior leaders.
- Tertiary qualifications in Data Analytics, Statistics, Computer Science, Mathematics, Finance, or a related discipline.
- Experience with AML/CTF, fraud analytics, or risk management frameworks will be highly regarded.
- Must provide evidence of eligibility to work in Australia.
- Must undertake police and basic credit checks as a condition of employment.
Skills
- Data Analytics
- Business Intelligence
- Data Science
- Financial Crime Analytics
- Fraud Analytics
- Data Modeling
- Data Governance
- Data Visualization
- Risk Management
- AML/CTF
- Stakeholder Engagement
- Communication
Location
- Australia
Work Type
- Full-time
Experience Level
- 8+ years
Education Level
- Tertiary qualifications in Data Analytics, Statistics, Computer Science, Mathematics, Finance or a related discipline
About the Company
- Insignia Financial is committed to turning data into intelligence that helps protect customers and the business.
Equal Opportunity
- We acknowledge and celebrate the richness that individual differences bring to our team. If you need assistance or an adjustment during the application process, please reach out and let us know.