Manager, Financial Crime Data and Analytics

SYDNEY, NSW, AU, 2000

Insignia Financial

Helping Australians secure their financial wellbeing.

View all jobs at Insignia Financial

Apply now Apply later

 

  • At Insignia Financial, your voice, ideas and individuality counts
  • Location NSW/VIC with hybrid working arrangements
  • Permanent Full-time role

 

The opportunity to join our team

The Financial Crime Data Analytics Manager plays a key role in identifying, investigating and preventing financial crime using data. This is a hands-on analytics management role providing insights and information to further improve our financial crime risk and control environment. The role supports the end client by ensuring Insignia Financial understands its financial crime risk profile and has in place programs, monitoring & reporting, systems and controls to manage these risks and meet its compliance obligations under the AML/CTF Act and Rules.  

 

Key Responsibilities:

  • Lead the development and governance of core management reporting frameworks to monitor SLAs, KPIs, and key metrics across BAU Financial Crime operations, ensuring alignment with enterprise risk appetite and regulatory expectations.
  • Oversee the analysis of large and complex datasets to generate strategic insights into customer demographics, behavioural trends, and risk profiles, enabling data-driven decision-making across the Financial Crime function.
  • Design and manage a robust testing and validation framework to assess the effectiveness and efficiency of key monitoring systems, including Transaction Monitoring, Name Screening, Ongoing Customer Due Diligence (OCDD), and Fraud Prevention controls.
  • Drive the strategic design and implementation of future-state reporting capabilities in alignment with enterprise system transformation initiatives, ensuring scalability, automation, and regulatory compliance.
  • Provide oversight and escalation of key risk indicators and emerging threats through proactive reporting and engagement with senior leadership and governance forums.
  •  Show leadership, fostering a high-performance culture focused on innovation, continuous improvement, and analytical excellence.
  • Collaborate with cross-functional teams including Data Governance, Compliance, Technology, Risk, and Business Units to embed data analytics into the broader Financial Crime strategy.
  • Engage with industry bodies and regulatory stakeholders to stay abreast of emerging trends, data innovations, and evolving compliance expectations, translating insights into actionable strategies.

 

What you will bring

  • Relevant Undergraduate degree or relevant subjects, Certified Anti-Money Laundering Specialist (CAMS) is desirable.
  • Proven experience in a financial crime role and understanding of financial crime risks.
  • Proficiency in data analysis tools and experience with PowerBI and Tableau
  • Knowledge of machine learning techniques applied to fraud or AML detection- is desirable.
  • Previous Financial Crime role with a focus on stakeholder management experience
  • Experience in working in complex businesses undergoing significant transformation and risk maturity uplift.
  • Resilient, can-do mind-set with the ability to adjust and pivot working style as required within a complex changing working environment
  • Strong understanding of risk management issues, particularly in relation to Financial Crime.
  • Ability to present ideas, perspectives, and issues to leadership with insight and influence.

 

Make your move. Make your mark.

What gets us excited about working here? Helping people do more with their money. From those starting out to those retiring. As your team, we’ll show up for you and together we will create financial wellbeing for every Australian. Because we know people who are confident about their financial future live better lives

 

If this sounds like your kind of career, you sound like our kind of person. Here, you’ll be making a positive impact in people’s lives straightaway – and every day. The first point of contact for our clients whenever they need support.

 

Along the way, you’ll be free to learn new skills, grow, and get great things done. Around here, we like to call it “putting our fingerprints on the future”.

 

Showing up for every Australian

We’re one of Australia’s leading financial wellbeing organisations, helping people feel good about their money. This starts by helping our people feel good about working here. That means flexibility. Plenty of opportunity. And celebrating all the unique things that make you, you – what matters to you, matters to us.

 

To Apply

Read more here about why you should join our team.

Applicants will be required to provide evidence of their eligibility to work in Australia, and at a minimum be required to undertake police and basic credit checks as a condition of employment.

 

Please note that applications from agencies will not be considered at this time.

 

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.

Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  0  0  0

Tags: Data analysis Data Analytics Data governance KPIs Machine Learning Power BI Tableau Testing

Perks/benefits: Career development

Region: Asia/Pacific
Country: Australia

More jobs like this