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Anti-Fraud Specialist

2 weeks ago

Mandaluyong City, National Capital Region, Philippines Maya Full time

About Us:

At Maya, we're committed to revolutionizing the way people interact with financial services. Our goal is to make financial services more accessible, secure, and efficient.

Job Description:

As an Anti-Fraud Specialist, you'll be part of our dedicated team working to protect our customers from financial crime. You'll analyze data to identify potential risks and develop strategies to prevent and detect fraudulent activities.

Fraud Review and Analytics:

  • Conduct thorough fraud analytics related to all products within Maya, collaborating with the Anti-Fraud team to identify potential risks and develop strategies to mitigate them.
  • Ensure robust and continuous fraud monitoring with appropriate triggers to detect and prevent fraudulent activities.
  • Generate daily management-level reporting on fraud risk related to the entire portfolio, reviewing standard fraud controls for all wallet and banking products in collaboration with stakeholders.
  • Design and implement effective fraud prevention and detection measures, leveraging data analytics and advanced technologies to identify and mitigate risks proactively.
  • Analyze data to generate insights on trends, fraud patterns, and operational performance, providing regular reports and updates to senior management.
  • Utilize performance data to drive continuous improvement initiatives, optimizing processes and decision-making frameworks to achieve operational excellence.

Business Intelligence and Reporting:

  • Aid in automating manual tasks performed by any unit in Antifraud to enhance turnaround time on investigation.
  • Collaborate with necessary teams to establish predictors that can be consumed in various use cases, such as underwriting, collections, and operations.
  • Work closely with the DS team to develop, validate, review, and fine-tune fraud models.

Investigation Support & Forensics:

  • Identify fraud patterns, understand modus operandi, and conduct impact assessments to inform strategies for reducing fraud numbers.
  • Develop actionable items to reduce fraud numbers, including creating or refining alerts and models, proposing new SOPs, and escalating findings to relevant stakeholders.
  • Provide data support for investigations to understand the modus operandi and profile fraudulent actors.
  • Conduct deep-dive data investigations for major cases, performing impact analysis, root cause analysis, and post-mortem reviews to strengthen fraud controls.

Requirements:

  • Minimum 3 years' experience in lending fraud assessment, identity fraud prevention, and fraud data analytics.
  • Experience in SQL coding and utilization of visualization tools.
  • Digital banking and lending experience is preferred.

What We Offer:

  • A dynamic work environment with opportunities for growth and development.
  • Competitive salary and benefits package.
  • The chance to work with a leading fintech company in the industry.