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 qualified 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 setting.





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 scala

📌 Tl Maps Hyderabad
🏢 Cognizant
📍 Hyderabad