System Engineer

3-5 Years

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Early Applicant

Job Description

Responsibilities

Design and implement fraud detection systems, rulesets, and machine learning based models for digital ecosystems.
Monitor and analyze real-time and historical data for anomalies, red flags, or suspicious activity.
Conduct fraud risk assessments across applications, platforms, and infrastructure layers.
Support the configuration and optimization of fraud detection tools (e.g., SIEM, UEBA, anti-fraud platforms).
Perform forensic investigations and root cause analysis on fraud incidents and near-misses.
Document findings, develop dashboards/reports, and present technical insights to non-technical stakeholders.
Assist clients in aligning with regulatory frameworks (e.g., AML, ISO 27001, GDPR, anti-bribery acts).
Stay informed on evolving fraud schemes (e.g., synthetic identity fraud, bot attacks, phishing variants).
Contribute to internal capability development, tool evaluation, and process improvement initiatives.

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
3-5 years of experience in System Engineer.
Hands-on experience with fraud analytics, anomaly detection, or behavioral modelling tools.
Experience working in financial services, e-commerce, or regulated environments is a plus.
Strong scripting and automation skills (e.g., Python, SQL, RegEx)
Familiarity with fraud monitoring platforms (e.g., Feedzai, Actimize, ThreatMetrix, RSA Fraud, & Risk Intelligence).
Experience with SIEM tools (e.g., SPLUNK, QRadar, Sentinel), UEBA, or SOAR platforms.
Knowledge of cloud platforms (AWS, Azure, GCP) and their security/fraud logging capabilities.
Have expertise in Fraud Detection System platform, Operating System (Linux, Windows), Database (Oracle, PostgreSQL, DB2 plus value), Elastic, Troubleshooting software and hardware platform, custom dashboard and custom report.
Have experience and knowledge of SAS software, SAS-BOS and other components (knowledge of SAS Fraud is a plus)
Analytical mindset with strong problem-solving skills.
Effective communication to bridge technical details with business impact.
Comfortable working in client-facing or cross-functional project environments.
Attention to detail, documentation discipline, and a proactive attitude toward emerging threats.