Manager II, Risk Mining, Account Integrity

Job description

Description
Amazon’s Account Integrity team (AIT) within the Selling Partner Support organization is looking for a senior leader for the Risk Mining team based out of India.

The AIT team owns designing and building high performance software systems using machine learning that identify and prevent fraudulent activity and maintain high trust levels with our customers.

Stopping bad actors improves our ability to stop downstream fraud and abuse.

The role of the Risk Mining team is to detect and quickly mitigate unique patters of bad actor activity.
As a leader of the Risk Mining org in the Account Integrity group, you will be responsible for managing a team of ~6 risk specialists and/or risk analyst directly.

You will also be leading all process improvements initiatives as a program leader with downstream teams such as Abuse and Fraud detection.

Your team will enable analysis of large data sets in partnership with product managers, scientists, and engineers, drive root cause analysis of ever-changing bad actor behaviours and deploy rules that will prevent bad actors from gaining access to Amazon's platform.

Key job responsibilities
1.

Provide leadership direction to Risk specialists and Risk analyst in managing day to day activities of bad actor detection
2.

Develop and help drive the execution of the Risk Mining analyst charter based out of the IN location
3.

Navigate an ever-changing risk environment and focus on developing long term strategic charter and balance it with very short term initiatives
4.

Provide high severity event support for Risk Mining WW
5.

Start a new charter for incorporating downstream signals from Fraud and Abuse teams for improving AIT efficiency in detection of bad actor traffic.

Consequently, improve downstream signal sharing with Abuse and Fraud teams for improved detection of bad actor activity during a transaction
6.

Lead and manage talent reviews for the direct team.

Also should be able to drive the talent review for the entire Risk Mining and Operations org as per roster
7.

Write quarterly business reviews (and monthly business reviews) that are reviewed at leadership level
8.

Expected to be a strong process expert themselves and be able to operate as an Individual contributor during highly complex bad actor attacks, deep dives etc.

A day in the life
1.

Manage day to day issues of the team in terms of team health and satisfaction, unblock any administrative or data issues with stakeholder teams.

Includes weekly 1:1s and performance management.
2.

Monitor and regulate high performance from the Risk Mining team
3.

Lead and be available for meetings with US and CR stakeholders teams
4.

Handover in progress work with clear templates
5.

Work on projects - via meetings, mental model or output documents, workshops, internal dive deeps.
6.

Lead GenAI initiatives for the Risk Mining team

About the team
Our team consists of Risk Analysts and Risk Specialists that roll up to the Account integrity Machine Learning Team.

We evaluate instances of organized bad actor account take over and creation of fraudulent accounts on Amazon .

We collaborate closely across multiple functions in order to mitigate these attacks through various short and long term solutions.

The team is located across the world an in multiple time zones that enable working round the clock.
Basic Qualifications
- Bachelor's degree
- Minimum of 5 years of relevant industry experience in risk or fraud investigations, risk management, ecommerce, analytics
- Minimum 3 years experience leading at least a small to medium size fast moving team
- Strong management skills with a proven track record of building and grooming a top performing team
- Experience developing and implementing a strategic, forward looking vision for an organization
- Able to drive cross functional projects
- Basic SQL and intermediate to advanced excel.

Ability to develop and maintain queries and basic models.

Should be able to execute complex analysis independently.
- Basic understanding of Gen AI concepts and application
Preferred Qualifications
- Masters Degree or an MBA from a Tier I/II school
- PMP certification
- General understanding of AI/ML principles and applications

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