Fraud Detection - SPX Express

SPX Express; Jakarta Pusat; On-site; IDR 180,000,000 - 240,000,000; Full time

Job summary

SPX Express is seeking a Fraud Risk Analyst based in Indonesia to identify and analyze fraud signals across fleet management and driver apps. The role involves maintaining indicators, validating loopholes, and designing robust mitigation workflows in collaboration with Product, Data, and Operations.

The ideal candidate has 2–5 years in express logistics fraud prevention or risk operations, strong data analysis and RCA skills, and willingness to travel across Indonesia.

Qualifications

• Bachelor's degree or equivalent in operations, management, criminology, or related field.
• 2–5 years of experience in express logistics, fraud prevention, or risk operations.
• Expertise in data analysis, root-cause analysis, and threat/vulnerability stress-testing.

Responsibilities

• Identify and analyze fraud signals from SPX Express operator tools including FMS and driver apps.
• Maintain and improve fraud leading indicators to monitor suspicious system behaviors and risks.
• Collaborate with Product, Data, and Operations to validate system loopholes and design mitigation workflows.
• Formulate and recommend preventive operational controls for each Modus Operandi (MO).
• Support regional partners in implementing regional fraud testing programs within existing flows.
• Validate, stress-test, and report on emerging MO and escalated risk reports from stakeholders.
• Conduct rigorous RCA on emerging fraud patterns to establish long-term mitigation strategies.
• Prepare and present stress-test reports on new MO to investigators and fraud project teams.
• Coordinate with cross-value chain operations to map potential new fraud scenarios.

Skills

Fraud detection

Data analysis

Root cause analysis

Threat testing

Collaboration

Problem solving

Attention to detail

Education

Bachelor's degree or equivalent

Job description

Job Description

• Identify and analyze fraud signals from SPX Express (SPX) operator tools, including Fleet Management Systems (FMS) and driver applications.
• Maintain and continuously improve fraud leading indicators to monitor suspicious system behaviors and preempt risks.
• Collaborate closely with Product, Data, and Operations teams to validate system loopholes and design robust mitigation workflows.
• Formulate and recommend preventive operational controls tailored to each identified Modus Operandi (MO).
• Support regional partners in implementing and executing regional fraud testing programs within existing operational flows.
• Validate, stress-test, and report on emerging fraud Modus Operandi (MO) and escalated risk reports from cross-functional stakeholders.
• Conduct rigorous Root-Cause Analysis (RCA) on emerging fraud patterns to establish long-term mitigation strategies.
• Prepare and present detailed stress-test reports on new Modus Operandi (MO) to the investigator and fraud project teams.
• Coordinate closely with cross-value chain operations to simulate and map out potential new fraud scenarios.

Requirements

• Hold a minimum Bachelor's degree in Operations, Management, Criminology, or equivalent practical experience.
• Possess 2 to 5 years of solid professional experience in express logistics supply chains, fraud prevention, or risk operations.
• Demonstrated expertise in data analysis, root-cause analysis, and threat/vulnerability stress-testing.
• Strong capability in identifying fraud patterns and developing preventive operational controls.
• Strong critical thinking, logical reasoning, and objective skepticism to solve complex fraud loopholes.
• Exceptional problem-solving capabilities with a high level of professional integrity and ethics.
• Outstanding attention to detail and a results-driven mindset.
• Excellent collaboration skills to work effectively with diverse cross-functional stakeholders.
• Willingness to travel across Indonesia based on operational requirements.
• Based in Indonesia.