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トレンド企業

トレンド企業

採用

求人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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模擬応募者数

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Amazonについて

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+

従業員数

Seattle

本社所在地

$1.5T

企業価値

レビュー

2.9

10件のレビュー

ワークライフバランス

2.8

報酬

3.7

企業文化

2.5

キャリア

2.3

経営陣

2.1

35%

友人に勧める

良い点

Good pay and compensation

Strong benefits package

Flexible scheduling options

改善点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

給与レンジ

4件のデータ

L2

L3

L4

L5

L6

L2 · Venture Capitalist L2

0件のレポート

$154,235

年収総額

基本給

$61,694

ストック

$77,118

ボーナス

$15,424

$107,965

$200,506

面接体験

10件の面接

難易度

3.7

/ 5

期間

21-35週間

内定率

20%

体験

ポジティブ 10%

普通 10%

ネガティブ 80%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge