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채용Amazon

Manager III, Risk Management, REs-Q - Risk Mitigation, Escalation Reduction, and Quality Assurance

Amazon

Manager III, Risk Management, REs-Q - Risk Mitigation, Escalation Reduction, and Quality Assurance

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

1w ago

Role Overview: This position leads a specialized team within Risk Mitigation, Escalation Reduction, and Quality Assurance (REs-Q), handling critical VP, SVP, and CEO-level Executive Escalations (EE) for Amazon's Fraud and Abuse Prevention (FnAP), Community Risk (CR), Perfect Order Experience (POE), and Muti-functional Escalations (MPE) vectors. Their team of 7 specialized Risk Managers manages 300+ high-priority cases annually, overseeing $1.1B in listings and serving 220,000 global customers, sellers, and brands. They are expected to maintain >99% accuracy in write-up resolutions within strict 80% 14-day and 21-day SLAs.

1. Problem Complexity: As the primary domain expert in complex fraud and abuse patterns, this role guides critical investigations that impact the entire organization. Leading cross-functional root cause analysis, the position handles EEs from virtually every business unit, working to maintain store trust and prevent business disruption. Past incidents have demonstrated how unresolved fraud cases can severely impact operations, often requiring direct executive intervention. The role's success depends on coordinating comprehensive responses across multiple teams - including Policy, Legal, Operations, Product, and Business units - to effectively combat emerging fraud patterns.

2. Scope and Impact: EEs represent one of the most intricate areas of risk management, requiring expert judgment to identify subtle abuse patterns and sophisticated fraud schemes. The manager ensures quality, while addressing emerging threats company-wide. Their strategic decisions directly impact Seller, Customer, and Brand Experience metrics, influencing Amazon's global risk management strategy.

3. Team & People Management: They lead both EEs and broader REs-Q strategy, providing hands-on mentorship to develop risk managers' technical and analytical capabilities through individualized career development plans. They drive operational planning through MBRs/QBRs, identify key investment areas, prioritize business impact, and negotiate resources with leadership. Monthly program reviews and consolidated reporting to L8-L10 leadership ensure team growth and operational excellence.

4. Execution & Process Improvement: The role drives 1–3-year strategic initiatives and continuous improvement through kaizens and best practice sharing. The manager develops team capabilities in automation while creating preventative mechanisms based on Root Cause Analysis. Resource allocation is optimized for cost-to-serve metrics and operational efficiency, with team members owning specific process improvements to reduce future escalations.

5. Communication: The manager presents strategic decisions through compelling narratives to L8-L10 leadership and coaches team members in executive communication, stakeholder management, and influencing without authority. They guide the translation of complex technical findings into clear business impacts and mentor team members in developing investigation frameworks for global adoption, while managing sensitive communications during critical store escalations.

Basic Qualifications

  • 7+ years of conducting workplace risk investigations experience
  • Experience in conducting workplace risk investigations
  • Experience leveraging technology to drive process improvements
  • Experience managing direct reports
  • Bachelor's degree or equivalent

Preferred Qualifications

  • 7+ years of customer-facing environment experience
  • CPA, CMA, CISA, CIA or equivalent risk, audit, or compliance credentials
  • Lean Six Sigma Green Belt or Black Belt certification
  • Experience working in a customer-facing environment
  • Master's degree or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, SEATTLE - 133,300.00 - 180,300.00 USD annually
USA, WA, Seattle - 133,300.00 - 180,300.00 USD annually

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Amazon 소개

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

직원 수

Seattle

본사 위치

$1.5T

기업 가치

리뷰

2.9

10개 리뷰

워라밸

2.8

보상

3.7

문화

2.5

커리어

2.3

경영진

2.1

35%

친구에게 추천

장점

Good pay and compensation

Strong benefits package

Flexible scheduling options

단점

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

연봉 정보

4개 데이터

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0개 리포트

$108,330

총 연봉

기본급

$43,332

주식

$54,165

보너스

$10,833

$75,831

$140,829

면접 경험

10개 면접

난이도

3.7

/ 5

소요 기간

21-35주

합격률

20%

경험

긍정 10%

보통 10%

부정 80%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge