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.
Note : Candidates currently operating as L5 are eligible for the role.
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
About the team
In-Person Investigations special projects (IPISP) lies within Account Trust (AT) and aims to analyze, audit and vend bad actor ground truth and risk intelligence feedback data from IPIs to improve bad actor detection across selling account lifecycle for all durable concepts which includes (Identity risk, Inventory risk and financial risk risk), IPI-Special projects team will also own IPI pilots and experiment strategy for SPS/TSI teams and define requirements for complex IPI use cases and will drive the director level goals for AT team.
- 4+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience
- Bachelor's degree or equivalent
- Experience handling confidential information
- Experience establishing successful partnerships with internal and external teams to execute tactical initiatives or equivalent
- 3+ years of program requirements definition and data and metrics leveraging to drive improvements experience
- Professional auditing qualification, or similar risk or compliance credentials
- Experience with SQL and Excel
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