At Amazon, our vision is to become the most customer-centric company on earth. Achieving this goal requires maintaining a safe and compliant store for our selling partners and customers. A key way we do this is through knowing and verifying our selling partners and their businesses, payment instruments, and other relevant information.

This role is part of risk based verifications within SPIV (Selling Partner Identity Verifications) team which will focus on identifying and removing sophisticated bad actors involved in identity and supply chain abuse while protecting good selling partners and their businesses from bad actors. This is an IC (Individual contributor) role which requires high judgement to investigate emerging risky behaviors of the sellers during verification and work with the Science , analytical and data engineering team to vend the emerging risky behaviors to train the machine learning models supporting the identification of identity and supply chain abuse by the bad actors on Platform.

This role requires skillsets like Fraud mitigation, analytical and logical reasoning, taking high judgement decisions, working in ambiguous situation, analytical skills, analysis of large data sets to generate critical insights related to bad actor operating patterns.

In this role, you will work closely with the legal, business, product, operations, science and engineering teams.

Key job responsibilities
1) Conduct in-depth analysis of various data sets to identify trends, patterns, and anomalies related to bad actor activities and generate valuable insights from data to vend those learning's to partner team.

2) Work closely with science and engineering teams to vend bad new actor signals to risk models and collaborate to train the ML models for Identity, inventory and financial risk.

3) Lead complex risk management projects from conception to implementation with stakeholders/partner teams. This involves leveraging the In-person Investigations (IPI) verification mechanisms to learn new bad actor trends, outlining requirements, change management and completion within timelines.

4) Engage with both internal and external customers to gather feedback, onboard to new programs, and ensure the highest quality of support

5) Drive Director level and shared cross functional goals leading to fraud prevention, customer experience and efficiency improvement

Key job responsibilities
Designing systems that increase critical-to-quality (CTQ) business needs by improving integration of people, materials, equipment, software, and finance.

Leveraging and integrating advanced technology into process design to maximize return on investment and minimize costs.

Innovating and designing new or improved processes to support the business needs.

Lead team of 5-6 managers (40+ team size overall) and drive the operational efficiencies, risk management, risk mining, operational planning , process improvement , and performance management of the team

Conducting detailed process analysis including time and motion studies, and safety/ergonomic, process complexity, cost and environmental impact analysis.

Recommending and implementing changes to procedures, work methods, and labor standards based on these analyses.

Build and publish critical data for understanding areas of financial opportunity and continuous improvement activity results, analyze root causes of difficult problems using statistical tools, and support the creation of reports and executive level documents.

Monitor key performance metrics for productivity and quality and provide guidance to constantly meet and exceed goals.

Develop employees and their skill sets to expand the team capabilities and provide growth opportunities.

Analyze the key levers of the business to identify the trends and proactively take action to eliminate root causes for defects.

A day in the life
Leads operations to combat marketplace abuse, reviewing metrics and risk alerts while directing six managers on priority investigations. They analyze data patterns in suspected bad actor networks and coordinate with risk mining teams on fraud trends. The role involves making critical decisions about fund withholding and account actions, improving verification processes, and reducing impact on legitimate sellers. They focus on process improvements, mentor team members, review investigation reports, and monitor key metrics. The position requires balancing operational efficiency with risk management while maintaining high performance standards in marketplace protection.

Risk Manager II, In Person Investigations