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职位Amazon

Risk Manager

Amazon

Risk Manager

Amazon

New Delhi, DL, IND

·

On-site

·

Full-time

·

6d ago

Amazon’s Counterfeit Crimes Unit (CCU) is looking for a talented Risk Manager, to be based in Delhi, to develop and execute Amazon’s external counterfeit enforcement efforts in India. This role will partner closely with Amazon’s Selling Partner Services team and other stakeholders and include the following duties: open-source intelligence; internal data deep-dives; and, preparation of case files and law enforcement referrals. Some travels will be required.

A successful individual should be highly collaborative and organized. You should be able to prioritize multiple deliverables and effectively communicate progress and blockers. You should feel comfortable working across multiple data sources, be creative in seeking new inputs, and be capable of participating in and understanding how multiple systems communicate information to each another. At the same time, you need to be an effective communicator able to translate complex technology and data to lawyers and law enforcement. Successful candidates must be mission-oriented and able to pursue projects to completion with a minimum of input or direction, take initiative in creating and improving work processes, and work effectively on a variety of simultaneously active matters in a fast-paced environment.

Key job responsibilities
You will work with a team of attorneys and other risk managers to identify counterfeiters and their networks, develop and pursue cases against them, and work with law enforcement to disrupt their activities.

About the team
The Counterfeit Crimes Unit (CCU) is a global team that includes former federal prosecutors, FBI agents, expert investigators, and data analysts. CCU, customs agencies, and law enforcement share information to track down counterfeiters, shut down bad actors’ accounts, seize counterfeit inventory, and prosecute those involved. CCU has disrupted counterfeiters and their networks through civil suits, joint enforcement actions, and seizures with law enforcement worldwide, including against suppliers, logistics providers, social media influencers, fake invoice providers, and more.

Basic Qualifications

  • Bachelor's degree or equivalent
  • 5+ years of experience in investigative work, risk/fraud analysis, or data analysis
  • Fluent English and Hindi language skills
  • Strong communication skills (written and oral) in order to communicate investigative results to external audiences, particularly legal and law enforcement audiences

Preferred Qualifications

  • Experience in data analysis
  • Experience with SQL and Excel
  • Experience working in risk, fraud or compliance organizations
  • High level of integrity and discretion to handle confidential information
  • Sound judgment in ambiguous situations

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.

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关于Amazon

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+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

2.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

2.5

职业发展

2.3

管理层

2.1

35%

推荐给朋友

优点

Good pay and compensation

Strong benefits package

Flexible scheduling options

缺点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

薪资范围

4个数据点

L2

L3

L4

L5

L6

L2 · Venture Capitalist L2

0份报告

$154,235

年薪总额

基本工资

$61,694

股票

$77,118

奖金

$15,424

$107,965

$200,506

面试经验

10次面试

难度

3.7

/ 5

时长

21-35周

录用率

20%

体验

正面 10%

中性 10%

负面 80%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge