We are seeking a dedicated Payment Abuse Lead to join our dynamic team. This role requires a strong background in payment fraud detection and prevention, a passion for problem-solving, and a keen eye for detail. As a key player in ensuring the security of transactions and our members, you will be responsible for the end-to-end investigation and resolution of risk-related escalations, providing innovative solutions, and contributing to the continuous improvement of fraud prevention strategies.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Bangalore, India
Key Responsibilities: Data Analysis & Reporting: Utilize strong SQL skills and other data analysis tools to monitor, identify trends, and analyze potential fraudulent activities. Present findings and actionable insights to key stakeholders. Metrics and Reporting: Understand and report weekly, quarterly and annual metrics to monitor health of the business and remain under industry thresholds. Problem Identification & Solution Development: Identify and address issues by conducting thorough research and data analysis, leveraging internal and external resources and subject matter expertise. Act on gaps in workflows to drive efficiency improvements. Cross-Functional Collaboration: Foster effective communication and collaboration within the team and with external partners, ensuring alignment across business functions and stakeholders. Both internally and externally. Global Initiatives: Contribute to global, cross-functional initiatives by identifying potential fraud risks and providing actionable recommendations for resolution. Issue Resolution: Drive issues to closure with minimal guidance, utilizing a variety of techniques and approaches to resolve challenges effectively and efficiently. Process Optimization: Continuously identify opportunities for process improvements, proposing and designing both technical and process solutions that align with business objectives. Document current and future state business process models for clarity and consistency. Fraud Investigation & Resolution: Lead the end-to-end investigation and resolution of risk-related escalations across various LinkedIn product offerings, ensuring that fraudulent activity is identified and mitigated efficiently. Industry Engagement: Stay informed through industry and professional development opportunities to continuously build expertise in fraud prevention. Team Leadership & Mentorship: Guide junior team members by helping them understand technical aspects and align with the team's vision, mission, and strategy. Provide motivation and mentorship, especially when leading projects with clear directives. Positive, high-achiever that can make high-quality business decisions ensuring clarity and action. Self-Development & Feedback: Take ownership of personal growth, seeking and modeling openness to feedback to enhance performance.
Basic Qualifications: Experience: Minimum 5 years of experience in payment fraud detection and prevention, or in a similar role within the payment or social media industries. Technical Skills: Experience in SQL and understanding of data analysis techniques and tools. Experience with SQL, JIRA, and Microsoft Excel; Understanding of using several different business process modeling and documentation tools. Fraud Prevention: Experience in payment fraud services, with a focus on identifying and mitigating fraudulent activities to ensure secure transactions for our members. Communication: Clearly articulate risk and fraud findings to both technical and non-technical audiences, ensuring a thorough understanding of the impact and proposed solutions.
Preferred Qualifications: Cross-Functional Collaboration: Proven ability to work collaboratively across various teams and business units, establishing effective working relationships at all levels of the organization. Industry Knowledge: Familiarity with card industry regulations and card scheme regulations is a plus. Project Management: Familiarity with project management methodologies and tools to effectively manage and deliver projects. Analytics: Ability to analyze data, identify threats and propose mitigation strategies
Suggested Skills: Payments ecosystems, chargeback processes and dispute resolution Data analysis & interpretation Proficiency in SQL Problem-solving mindset, attention to details Written and verbal communication
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Seniority level
Not Applicable
Employment type
Full-time
Job function
Engineering
Industries
Technology, Information and Internet and IT Services and IT Consulting
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