Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Обязанности чётко очерчены и сочетают расследование мошенничества с аналитикой и настройкой обнаружения угроз в устойчивой платёжной компании; финтех-направление и возможности развития добавляют карьерной ценности.
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Актуальные инструментыФинтех-направлениеПоддержка развитияПонятные обязанности
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Financial Crimes Analyst (Fintech): Analysing complex transactional, behavioural and intelligence data to detect fraud and emerging financial crime threats across payment and digital banking channels with an accent on fraud rules, investigations, monitoring controls and actionable insights. Focus on optimising detection across cards, digital wallets, real-time payments, PayTo, BPAY and Direct Entry, validating AI and machine learning models, and improving detection performance.
Location: Hybrid role based at Darling Park Tower, 1/201 Sussex St, Sydney, NSW, Australia.
Company
hirify.global provides payment and digital banking infrastructure and secure financial services solutions used by Australian customers and businesses.
What you will do
Analyse transactional, behavioural and intelligence data to identify fraud and emerging financial crime risks across payment and digital banking channels.
Develop and optimise fraud detection rules across cards, digital wallets, real-time payments, PayTo, BPAY and Direct Entry.
Conduct network analysis, merchant reviews and complex investigations.
Use Power BI, Databricks, SQL and Excel to identify trends and provide actionable insights.
Review fraud controls, monitor detection rates and false positive ratios, and recommend improvements.
Support the implementation and validation of new data sets, AI models and machine learning models; share insights with stakeholders and clients and escalate significant risks.
Requirements
Experience in operational fraud or financial crime management.
Strong analytical capability working with large and complex data sets.
Experience using fraud detection systems, including writing or optimising fraud rules.
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.
Ability to collaborate and communicate insights clearly to different stakeholders.
Nice to have
At least two years of experience across fraud or financial crime.
Experience in 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.
Culture & Benefits
Flexible work arrangements in a diverse and socially inclusive workplace.
Recognition through IGNITE and tailored development opportunities.
Initiatives supporting physical, mental and financial wellbeing, plus discounts through hirify.global Advantage.
Opportunities to contribute to innovative work with impact on Australia's financial services sector.
Hiring process
Screening and interviews may take place before the job advertisement closing date.
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