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.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
