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 professional 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 for case review and incident handling in the fraud prevention area ensuring that alerts are triaged efficiently and that response times support a secure and seamless user experience.
· Document fraud trends and map related attack scenarios in clear operational playbooks enabling consistent handling of incidents and ongoing improvement of preventive and detective controls.
· Monitor performance of fraud detection models and rule sets on maps data by reviewing precision metrics and false positive rates then recommending targeted adjustments that balance protection with usability.
· Collaborate with compliance and risk stakeholders to align fraud monitoring practices in the maps environment with internal policies and external regulatory expectations relevant to digital platforms.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
