Job Summary

This role involves managing end to end fraud prevention and monitoring initiatives with experience in SQL + Python for Data Analysis within the maps and location intelligence domain for an international organization. The skilled will design and optimize controls analyze complex behavioral patterns and coordinate with cross functional partners to safeguard platform integrity. The position is based in office with rotational shifts and focuses on delivering secure and reliable mapping experiences for global users.

Requirements & Responsibilities

A Minimum of 4+ Years - Experience in Fraud detection across any of these domains
Experience in SQL + Python for Data Analysis
Solve complex, open-ended abuse problems in UGC Reviews
Critical thinking -ability to conduct independent investigative work
Creative problem-solving skills
Investigative skills - Analysing data patterns, and assessing risks
Delivering complex analysis projects and working on open ended problems
Experience with fraud and abuse dynamics in online platforms. ever-changing environment.




Experience in policy/program management, User and merchant experience, business strategy, or related fields
Knowledge of content moderation, policy enforcement, customer support, and/or policy creation
Knowledge of AI/ML, Gen AI.
Drive comprehensive fraud monitoring activities on maps-based platforms by continuously analysing transactional and behavioural patterns to identify emerging threats and reduce loss for the organization and its customers.
Leverage data analysis techniques on location-based signals to detect anomalies and suspicious activities while ensuring that mapping services remain reliable and trusted across diverse regions and user segments.
Coordinate with product managers and engineering teams to refine fraud detection rules for map related features so that legitimate user activity is preserved while fraudulent behaviour is accurately captured and acted upon.
Implement scalable workflows

📌 TL-Maps (Hyderabad)
🏢 Cognizant
📍 Hyderabad