Financial Crime Prevention Specialist

2 days ago


Sydney, New South Wales, Australia beBeeThreat Full time $100,000 - $150,000

Job Overview

The Threat Analyst role is a high-impact position that requires strong analytical skills and the ability to collaborate effectively with cross-functional teams. The ideal candidate will have experience working within financial institutions' Financial Crime, AML, or Compliance functions, with exposure to transaction monitoring, sanctions screening, or fraud/AML investigation tools.

Key Responsibilities:

  • Build strong partnerships with AML and financial crime teams to ensure maximum value from solutions.
  • Provide subject matter expertise in AML and financial crime to achieve strategic objectives in compliance, fraud prevention, and risk mitigation.
  • Collaborate with customers and Data Science to improve detection of money laundering patterns and financial crime, minimizing disruption for legitimate users.
  • Apply data-driven approaches to demonstrate effectiveness against customer success criteria in proof of value and pilot engagements.
  • Educate customers on how Behavioral Biometrics address key AML and financial crime challenges and use cases.
  • Work closely with customers to design and deploy detection strategies for emerging threats.
  • Guide customers toward best practices in AML detection, compliance, and fraud risk management.
  • Act as the voice of the customer, influencing product strategy and development in line with AML and financial crime priorities.
  • Support Data Science in researching new and emerging threats across main use cases.
  • Deliver actionable reporting and insights on AML and financial crime detection performance.
  • Share industry learnings, case studies, and insights with Sales Enablement to strengthen position as a thought leader in financial crime prevention.
  • Provide SME support to BioCatch Sales teams to accelerate new customer acquisition and deepen customer engagement.

Requirements:

  • Bachelor's or graduate degree in Computer Science, Mathematics, Statistics, Economics, or a related field.
  • Experience working within financial institutions' Financial Crime, AML, or Compliance functions, with exposure to transaction monitoring, sanctions screening, or fraud/AML investigation tools.
  • Proven ability to collaborate effectively across cross-functional teams.
  • Strong analytical skills with hands-on experience using SQL at an intermediate/advanced level to analyze large transaction datasets and identify suspicious activity.
  • Experience with Python and/or R for data analysis, automation, or model development (advantageous).
  • Solid understanding of statistical modeling, anomaly detection, or machine learning techniques applied to financial crime and AML risk detection.
  • Certified Anti-Money Laundering Specialist (ACAMS) certification highly desirable and considered an advantage for candidates applying for this role.
  • Strong presentation and storytelling skills with a track record of delivering insights to compliance officers, regulators, and senior stakeholders.
  • Demonstrated ability to build strong business partnerships and customer relationships in financial crime or compliance contexts.
  • Excellent communication skills and a collaborative mindset to drive AML and financial crime initiatives forward.


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