FinCrime Prevention Lead

Netherlands, Singapore

About the Team

At Aspire, we are committed to empowering our customers throughout their journey with us. Our Operations Team ensures customers can operate seamlessly on our platform, and guarantee the best and safest customer experience possible.

About the Role

As the Financial Crime Prevention lead, you oversee Aspire’s  development and optimization of rules-based systems, machine learning models, and detection tools that empower Fraud Operations, AML/Screening teams, and product teams to mitigate risks while scaling Aspire’s global operations effectively and efficiently.

You will define the vision for Aspire’s financial crime detection capabilities, ensuring alignment with regulatory requirements and business growth objectives.

Key Responsibilities:

• Fraud Management
  • Own the detection effectiveness and efficiency metrics:
    • Transaction Detection Rate (TDR)
    • Account Detection Rate (ADR)
    • Value Detection Rate (VDR)
    • Alert False Positive Rates
  • Own the financial fraud metrics:
    • Customer fraud losses
    • Aspire fraud losses
• Strategic Leadership:
  • Define together with the product teams the roadmap for financial crime detection systems, including fraud models, AML monitoring rules, and risk-scoring frameworks.
  • Drive innovation by integrating AI/ML, automation, and predictive analytics into Aspire’s financial crime prevention toolkit.
• System Development & Optimization:
  • Oversee the design and maintenance of scalable rules-based systems to detect fraud, money laundering, and other illicit activities.
  • Continuously refine detection thresholds and models using insights from investigations, QC/QA findings, and business feedback to reduce false positives.
• Cross-functional Collaboration:
  • Partner with Compliance,Fraud Ops, AML/Screening Ops, and Product teams to embed fraud prevention measures into Aspire’s offerings and automate workflows.
  • Represent the department in leadership discussions, balancing risk mitigation with customer experience and operational efficiency.
• Team Management:
  • Lead and mentor a team of analysts and subject matter experts focused on financial crime detection.
  • Foster a culture of innovation, data-driven decision-making, and regulatory compliance.

Minimum Qualifications

• Experience:
  • Minimum 7 years experience in fraud management in a FinTech or regulated financial institution; experience in transaction monitoring, AML, or Operations roles is a plus.
  • Proven track record of designing and scaling risk detection systems (rulewriting in rules-based engines, machine learning models).
  • Experience in developing customer journeys which are safe by design.
  • Experience supporting global operations and/or scaling processes in multiple markets is a plus.
• Knowledge:
  • Strong understanding of KYB, Fraud, Transaction Monitoring, and QA functions
  • Relevant certifications e.g. CAMS (Certified Anti-Money Laundering Specialist) or CFE (Certified Fraud Examiner)  are preferred
  • Understanding of fraud detection tools (e.g., Sardine, Threatfabic, Feedzai), AML platforms (e.g., LexisNexis, Nice Actimize,), and data architectures.
• Skills:
  • Excellent problem-solving skills, the ability to think first principles, and break complex and ambiguous issues down into structured, actionable solutions
  • Hands-on experience with designing and implementing detection rules.
  • Excellent analytical skills, including the ability to leverage data to drive insight and improvement
  • Proficiency in SQL, Python, or R for data analysis and model development
  • Strong communication skills, both written and verbal, with the ability to explain complex concepts simply - to different audiences