Financial Crime Analyst

CO001 Cuscal Limited; Australia; Presencial; AUD 90.000 - 130.000; Tempo integral

Resumo da vaga

Cuscal is seeking a Financial Crime Analyst in Australia to analyse complex data, identify fraud, and strengthen monitoring across payment channels. You will work within the Financial Crime Analytics & Advisory team to drive data-driven insights and improvements to controls.

Responsibilities include developing detection rules, conducting investigations, and collaborating with stakeholders to mitigate risks and enhance outcomes for Cuscal and clients.

Qualificações

• Experience in operational fraud or financial crime management.
• Strong analytical capability with experience working across large and complex data sets.
• Advanced Power BI and Excel skills.
• Intermediate Databricks and SQL experience.
• Strong critical thinking, investigation and problem-solving skills.
• The ability to work collaboratively and communicate insights clearly to different stakeholders.

Responsabilidades

• Analysing transactional, behavioural and intelligence data to identify fraud and emerging financial crime risks.
• Developing and optimising fraud detection rules across cards, digital wallets, real-time payments, PayTo, BPAY and Direct Entry.
• Conducting network analysis, merchant reviews and complex investigations.
• Using Power BI, Databricks, SQL and Excel to identify trends and provide actionable insights.
• Reviewing fraud controls and recommending improvements to strengthen detection capabilities.
• Monitoring fraud detection performance including detection rates and false positive ratios.
• Supporting the implementation and validation of new data sets, AI models and machine learning models.
• Providing insights on current fraud typologies and trends to internal stakeholders and clients.
• Escalating significant incidents, risks and emerging threats to management.
• Contributing to continuous improvement across fraud monitoring processes and operational outcomes.

Descrição da vaga

Forward with Cuscal Ever tapped your phone to buy a morning coffee, or made a purchase from your favourite online store? Chances are, we’ve made it happen. At Cuscal, we’ve been at the forefront of payments innovation for 60 years, enabling seamless, secure solutions that millions of Australians rely on every day. From launching Australia’s first ATM to being the first certified Australian fast payments Payer and Initiator in 2022, we’ve always pushed boundaries — and we’re not stopping now. That’s why we’re looking for a Financial Crime Analyst to join our team and help shape the future of payments. Join us. Forward with Cuscal.

As our Financial Crimes Analyst, you’ll analyse complex data to identify, prevent and respond to fraud and emerging financial crime threats across payment and digital banking channels. Working within our Financial Crime Analytics & Advisory team, you’ll use data-driven insights to improve monitoring strategies, strengthen controls and support positive outcomes for Cuscal and our clients.

You’ll also make an impact by:

• Analysing transactional, behavioural and intelligence data to identify fraud and emerging financial crime risks
• Developing and optimising fraud detection rules across cards, digital wallets, real-time payments, PayTo, BPAY and Direct Entry
• Conducting network analysis, merchant reviews and complex investigations
• Using Power BI, Databricks, SQL and Excel to identify trends and provide actionable insights
• Reviewing fraud controls and recommending improvements to strengthen detection capabilities
• Monitoring fraud detection performance including detection rates and false positive ratios
• Supporting the implementation and validation of new data sets, AI models and machine learning models
• Providing insights on current fraud typologies and trends to internal stakeholders and clients
• Escalating significant incidents, risks and emerging threats to management
• Contributing to continuous improvement across fraud monitoring processes and operational outcomes

What You’ll Bring To succeed in this role, you’ll have:

• Experience in operational fraud or financial crime management
• Strong analytical capability with experience working across large and complex data sets
• Experience using fraud detection systems including writing or optimising fraud rules
• Demonstrated ability to turn data into clear insights and recommendations
• Advanced Power BI and Excel skills
• Intermediate Databricks and SQL experience
• Strong critical thinking, investigation and problem-solving skills
• The ability to work collaboratively and communicate insights clearly to different stakeholders

You’ll stand out from the crowd if you have:

• At least two years of experience across fraud or financial crime
• Experience within banking, financial services, payments or merchant acquiring
• Tertiary studies in fraud, financial crime or criminology
• Qualifications or practical exposure related to data science or machine learning

Join us and reimagine the future If you’re excited to join a company that’s shaping the future of how Australia moves money, we’d love to hear from you.

Cuscal is an equal opportunity employer committed to an equitable, diverse, and socially inclusive work environment and a positive, barrier-free recruitment process.

We welcome applicants from an Aboriginal and Torres Strait Islander heritage, people living with a disability, LGBTQIA+ and people from culturally diverse backgrounds to explore career opportunities with Cuscal.

Moving Payments Forward. Together.

Cuscal is a payments and regulated data services provider in Australia. Since 1966, we have enabled Australian banks, mutuals, corporates and fintechs to better serve and connect with their customers through the implementation of innovative technology solutions. Our vision To transform the future of how money moves and how Australia does business. Our mission We partner with forward-thinking businesses to deliver innovative and secure payment solutions that drive growth in the economy. Our purpose To enable competition and power progress, one transaction at a time.