Fraud Investigator

Job Title:

Location:

About Us

Deccan AI, founded by IIT Bombay and IIM Ahmedabad alumni, specializes in LLM model development and AI-first scaled operations. Based in SF and Hyderabad, our mission is to create AI for Good, driving innovation with positive societal impact.

Responsibilities:

Leadership and Team Building

• Lead, coach, and scale a team of fraud investigators/analysts; establish training plans, SOPs, and performance metrics.

Detection and Analytics

• Design and own fraud detection strategies for annotation platforms and datasets: rules, anomaly detection, sampling, and risk scoring.
• Build dashboards and alerts (e.g., abnormal throughput, quality drift, device/IP anomalies, collusion, automated/botted behavior).

Investigations and Case Management

• Establish intake and case triage processes; own end-to-end investigations from signal to resolution.
• Set evidence standards, documentation templates, chain-of-custody, and audit trails.
• Conduct interviews (internal vendors/annotators, supervisors), consolidate findings, and recommend actions (access revocation, clawbacks, retraining, vendor sanctions).

Prevention and Controls

• Implement process and product controls: multi-factor checks, selective gold tasks, honeypots, randomized QC, geo/IP/device controls, work-time validations.
• Partner with Ops/QA/Compliance to close control gaps and codify preventative policies.
• Drive continuous improvement: post-incident reviews, rule refreshes, and playbook updates.

Governance and Reporting

• Define KPIs/OKRs: fraud loss rate, detection lead time, investigation turnaround time, positive hit rate, false positive rate, repeat offense rate, prevented loss.
• Produce weekly/monthly reports for leadership; quantify impact and ROI of controls.
• Maintain alignment with legal, privacy, security, and client compliance requirements.

Stakeholder Collaboration

• Work cross-functionally with Product, Platform, Security, QA, Vendor Management, and Client Success to integrate safeguards and communicate risks.
• Support client audits and contribute to SOWs/SLAs for fraud monitoring and incident response.

Requirements & Skills:

• 3+ years in fraud investigation, trust & safety, risk, or compliance; 1+ years leading investigation or T&S teams.
• Demonstrated experience building detection rules/systems and running end-to-end investigations in high-volume operational environments.
• Strong data skills: SQL, spreadsheet analytics; familiarity with BI tools (e.g., Metabase, Looker).
• Understanding of annotation/labeling operations or similar gig/vendor marketplaces, including common fraud vectors (account sharing, botting, plagiarism, collusion, result laundering).
• Exceptional judgment, documentation rigor, and confidentiality; proven stakeholder management.

Nice to Have:

• Experience partnering with ML teams on supervised/unsupervised detection (e.g., anomaly detection, graph analysis, device fingerprinting).
• Background in audit, forensics, or incident response.
• Experience with crowdsourcing/contractor platforms and workforce analytics.

Fraud Types to Cover:

• Financial fraud (transactions, payments)
• Data manipulation or unauthorized annotation activities