Senior Synthetic Identity Detection Specialist

Conférence Agile Secteur Public; United Arab Emirates; À distance; AED 200 000 - 320 000; Plein temps

Avantages offerts par ce poste

100% remote work

Competitive compensation

International collaboration

Résumé du poste

Conférence Agile Secteur Public is seeking a Senior Synthetic Identity Detection Specialist to identify and prevent synthetic identities across digital platforms and onboarding processes. The role focuses on developing detection indicators, risk scoring, and improving verification controls in a fully remote setting.

The successful candidate will leverage data analytics, machine learning, and investigative methodologies to protect onboarding processes and organizational systems.

Qualifications

• Degree in Fraud Management, Finance, Cybersecurity, Data Science, IT or related.
• Experience in identity fraud detection and digital onboarding risk.
• Knowledge of identity verification controls and data privacy.

Responsabilités

• Lead identification and investigation of synthetic identity fraud during onboarding and account management.
• Analyze identity data to detect inconsistencies, fabricated info, and suspicious IDs.
• Develop detection indicators and risk scoring models for synthetic identity patterns.
• Collaborate with fraud prevention, compliance, cybersecurity, onboarding and risk teams.
• Review alerts from verification and detection systems and escalate where needed.
• Maintain investigation records, evidence, and analytical findings.

Connaissances

Identity fraud detection

Data analytics

Digital verification

Investigative methods

Statistical modeling

Machine learning

SQL

Python

KYC processes

Formation

Bachelor's or master's degree

Outils

SQL

Python

Fraud screening platforms

Description du poste

Job Title: Senior Synthetic Identity Detection Specialist

Location: United Arab Emirates (Remote)

Employment Type: Full-Time

Work Arrangement: 100% Remote — Work From Home

Level: Senior

About the Role

We are seeking a Senior Synthetic Identity Detection Specialist to identify, investigate, and prevent the creation and use of synthetic identities across digital platforms, financial services, and customer onboarding processes. The role focuses on detecting fabricated or manipulated identity profiles, analyzing suspicious application patterns, strengthening identity verification controls, and reducing identity-related fraud risks.

The successful candidate will combine expertise in identity fraud detection, data analytics, digital verification, and investigative methodologies to help protect customer onboarding processes and maintain the integrity of organizational systems.

Key Responsibilities

• Lead the identification and investigation of suspected synthetic identity fraud across customer onboarding and account management processes.
• Analyze identity application data to identify inconsistencies, fabricated personal information, manipulated documents, and suspicious identity combinations.
• Develop detection indicators and risk assessment methodologies for identifying synthetic identity patterns.
• Review customer profiles, application histories, device signals, contact details, and behavioral information to identify potential fraud.
• Investigate relationships between suspicious identities, shared addresses, phone numbers, email accounts, devices, and financial identifiers.
• Analyze identity data patterns using statistical methods, anomaly detection, network analysis, and machine learning techniques.
• Evaluate identity verification processes and recommend improvements to reduce fraudulent account creation.
• Collaborate with fraud prevention, compliance, cybersecurity, customer onboarding, and risk management teams.
• Review alerts generated by identity verification and fraud detection systems, ensuring appropriate investigation and escalation.
• Identify emerging synthetic identity techniques and assess their potential impact on organizational operations.
• Develop and refine detection rules, risk scoring models, investigation procedures, and escalation criteria.
• Support the evaluation of identity verification vendors, document validation solutions, and fraud monitoring technologies.
• Maintain accurate investigation records, supporting evidence, analytical findings, and case outcomes.
• Prepare reports on synthetic identity trends, fraud exposure, detection performance, and recommended control improvements.
• Monitor false-positive and false-negative rates and recommend adjustments to improve detection effectiveness.Provide guidance and technical support to junior fraud analysts and relevant operational teams.

Qualifications and Experience

• Bachelor's or master's degree in Fraud Management, Finance, Cybersecurity, Data Science, Information Technology, Criminal Justice, or a related discipline.
• Significant professional experience in identity fraud detection, synthetic identity investigation, financial crime prevention, or digital onboarding risk management.
• Strong understanding of synthetic identity fraud, identity manipulation, fabricated profiles, and application fraud techniques.
• Experience analyzing customer identity information, application data, transactional indicators, and digital verification results.
• Familiarity with identity verification technologies, document authentication tools, biometric verification, and fraud screening platforms.
• Knowledge of customer due diligence, Know Your Customer (KYC) processes, and identity verification controls.
• Experience using SQL, Python, or comparable tools for data analysis and investigative support.
• Understanding of anomaly detection, statistical modeling, graph analytics, and behavioral risk assessment.Ability to identify suspicious relationships and patterns across multiple identity attributes and records.
• Familiarity with fraud risk scoring, case management systems, and investigation workflows.
• Knowledge of data protection, privacy, and responsible handling of sensitive personal information.
• Strong investigative, analytical, and problem-solving capabilities.
• Excellent written communication, technical reporting, and stakeholder coordination skills.
• Ability to manage confidential investigations and work independently in a fully remote environment.

What We Offer

• 100% remote working arrangement from within the applicable employment jurisdiction.
• Competitive compensation aligned with experience and specialist expertise.
• Opportunities to contribute to advanced identity fraud prevention and digital verification initiatives.
• Professional development in fraud analytics, identity intelligence, and emerging detection technologies.
• Collaboration with international teams across fraud prevention, compliance, cybersecurity, and data analytics.