This position is posted by Jobgether on behalf of Ocrolus Inc. We are currently looking for a Fraud Analyst in India.
We are seeking a detail-oriented and investigative professional to help strengthen fraud detection capabilities within a high-impact financial risk environment. In this role, you will analyze machine-generated fraud signals, refine detection logic, and collaborate with technical teams to improve accuracy and reduce false positives. You will investigate complex document-based fraud cases, from synthetic identities to tampered financial records, ensuring robust model performance and trustworthy outcomes for clients. This position offers the opportunity to work closely with experts in product, engineering, and data science, contributing to the fight against financial crime while shaping the next generation of fraud prevention technology.
Accountabilities
- Review machine-generated fraud alerts to assess accuracy, uncover false positives, and identify missed detections
- Design, test, and refine detection rules and thresholds for spotting tampered or synthetic documents
- Validate fraud detection models using real-world cases and client feedback
- Provide expert insight into fraud trends affecting bank statements, paystubs, tax forms, and IDs
- Annotate and classify financial documents to enhance supervised training datasets
- Partner with cross-functional teams to improve scoring logic, severity classification, and fraud signal design
- Contribute to model retraining cycles, testing, and data quality improvements
- Research emerging fraud tactics, including AI-generated forgeries, to stay ahead of evolving threats
- Maintain a fraud knowledge base and develop best-practice playbooks
- Support customer success teams by investigating escalated fraud cases and explaining system decisions
Requirements
- 3-5 years' experience in fraud or risk analysis, preferably in fintech, banking, or lending
- Strong understanding of document-based fraud, including tampering, synthetic identities, and income misrepresentation
- Familiarity with financial documents such as W-2s, 1040s, paystubs, bank statements, and IDs
- Exposure to AI/ML-driven fraud detection tools, anomaly detection, and risk scoring systems
- Experience with Intelligent Document Processing (IDP) flows and tamper detection techniques
- Proficiency with fraud detection platforms, decision engines, and case management tools
- Analytical mindset with strong attention to detail and communication skills
- Bonus: Experience with OCR, metadata forensics, or document verification technology
Benefits
- Competitive salary package based on experience
- Remote-first work culture with flexible arrangements
- Opportunities to work with cutting-edge AI-driven fraud prevention tools
- Professional growth through cross-functional collaboration with Product, Engineering, ML, and Data Science teams
- Inclusive, values-driven culture built on empathy, curiosity, humility, and ownership
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.📊 It compares your profile to the job's core requirements and past success factors to determine your match score.🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.Thank you for your interest!
