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Amazon • Hyderabad, Telangana, India
Role & seniority
Stack/tools
SQL for data analysis and risk pattern identification
Excel and standard risk/compliance tooling
Data-driven program management and escalation processes
Top 3 responsibilities
Build and sustain a proactive risk mining culture; identify bad actors early
Deep-dive root-cause analysis, map mechanics to partner teams, define requirements
Create escalation paths, standardized risk evaluation guidelines, and operational procedures; drive execution and balance short-term fixes with long-term vision
Must-have skills
5+ years in compliance program management, legal/governance/audit/risk loss prevention, or equivalent
Bachelor's degree or equivalent
Experience handling confidential information
Proficiency with SQL and Excel (preferably)
Nice-to-haves
3+ years in program requirements definition with data/metrics-driven improvements
Professional auditing qualification or similar risk/compliance credentials
Location & work type
Notes
Selling Partner Trust and Store Integrity (TSI) is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners, vendors and Amazon from fraud, counterfeit, and abuse as well as providing world‐class support and building loyalty with Amazon’s millions of selling partners (3P and 1P). The Selling Partner Identity Verification (SPIV) team within SPS protects Amazon customers and stores by launching investigative projects and detection mechanisms by deep diving key events within the bad actor lifecycle to detect abuse at the earliest point and close the gap for bad actors. Our growth requires highly skilled candidates who move fast, have an entrepreneurial spirit to create new solutions, a tenacity to get things done, thrive in an environment of ambiguity and change, and are capable of breaking down and solving complex problems. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company.
We catch bad actors and stop online fraud. It’s fun! It’s hard! It matters! We are passionate about protecting our selling partners and customers from bad actors and want a candidate that shares that passion. Amazon is one of the world’s most trusted companies. Help us keep it that way. To achieve this, we are looking for an experienced Manager with background in risk/digital fraud and vendor management/risk, to lead and manage critical and high impact vendor investigations and decisions, fostering a team culture that's passionate about using data insights to uncover bad actor trends and helping us ensure that customers make great purchase decision while enabling business growth across Amazon's vendor ecosystem
Key job responsibilities
Builds a risk mining culture and continuously challenges the status quo while
emphasizing on proactive identification of bad actors
Deep dive gap root causes and learn the mechanics, partner teams, and
requirements.
Create escalation paths and resolution guidelines
Establish standardized risk evaluation guidelines and operational procedures
Drives execution through priority management, stakeholder collaboration, and
establishing effective workflows while maintaining focus on both short-term
solutions and long-term vision
Handles escalations and communicates effectively across all levels, both
verbal and in written
Manages complex problems, handles ambiguity effectively
Leverage SQL to analyze datasets, identify risk patterns, and inform
program-level assessments
Define and monitor risk tolerance levels across different abuse types and
accounts. Basic Qualifications: - 5+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience
Bachelor's degree or equivalent
Experience handling confidential information Preferred Qualifications: - 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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