This role will be based in Bangalore, India.

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.

Qualifications Key Responsibilities:

• Lead end-to-end investigations of complex payment abuse and risk-related escalations across LinkedIn product offerings, ensuring accurate, timely, and well-documented resolution.
• Utilize SQL and data analysis tools to monitor payment activity, identify trends, and surface emerging fraud risks.
• Track and report weekly, quarterly, and annual operational and fraud metrics to monitor business health and adherence to industry thresholds.
• Propose practical process or tooling improvements to increase efficiency, accuracy, and scalability.
• Partner with Product, Engineering, Legal, Compliance, and Policy teams to support risk mitigation efforts and operational execution.
• Contribute to global, cross-functional trust initiatives by identifying potential payment fraud risks and providing data-backed recommendations.
• Partner with Product, Engineering, Legal, Compliance, and Policy teams to support risk mitigation efforts and operational execution.

Basic Qualifications:

• 3+ years of experience in payment fraud detection, prevention, or risk operations, preferably within payments, fintech, e-commerce, or social media platforms.
• 3+ years of experience with SQL and data analysis.
• 3+ years of experience in payment fraud services, including investigations, escalations, chargebacks, disputes, and fraud mitigation.

Preferred Qualifications:

• Familiarity with card network rules, card scheme regulations, and payment compliance frameworks.
• Experience supporting or contributing to cross-functional or project-based initiatives.
• Strong analytical skills with the ability to identify threats and propose effective mitigation strategies.

Suggested Skills:

• Comfort operating in high-ambiguity, high-complexity, and cross-functional environments.
• Strong written and verbal communication skills, with ability to influence through data and insights.
• Advanced data analysis and interpretation, including SQL proficiency.
• Understanding of payments ecosystems, including chargebacks and dispute resolution processes.

Additional Information India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf

Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.