Risk Manager II, Financial Fraud

Amazon
Bengaluru, Karnataka, India

Description

The Financial Fraud team's vision is to protect customers and Amazon financials from exposure to bad actors, thus disincentivizing and reducing their attempts to operate in our stores.

We are looking for a highly motivated risk manager to solve exciting business problems in large scale. This role will perform comprehensive investigations to identify business problems and root cause, use data to locate patterns of risks, and drive the implementation of large scale solutions. The risk manager will work with product and program managers, machine learning scientists, risk SMEs across areas, as well as external stakeholders.

As a Risk Manager, you will define end-to-end risk strategy, scope ambiguous problems, and design solutions in partnership with ML, engineering, and business teams. The role demands strong data analysis skills, the ability to drive prioritization and alignment across stakeholders, comfort operating in ambiguity, and the influence to move leaders across organizations and levels.

Key job responsibilities

  • Conduct complex investigations and make high-judgment enforcement decisions in ambiguous, fast-paced environments
  • Analyze large datasets to identify abuse patterns, anomalies, and emerging risks at scale
  • Author deep-dive documents and propose scalable solutions to product, policy, and leadership stakeholders
  • Contribute to strategic vision and communicate goals, roadmaps, and policy changes through BRDs, WBRs/MBRs/QBRs
  • Influence without authority across product, tech, policy, legal, and finance teams to drive consensus and deliver results
  • Drive efficiency through automation, eliminating non-value-add processes, and building mechanisms that scale in resource-constrained environments
  • Operate independently—prioritizing multiple high-visibility initiatives, managing escalations, and making data-driven tradeoffs to maintain strategic deliverables

About The Team

The Financial Fraud team manages risk vectors where bad actors seek financial gains through illegitimate activities on Amazon and cause negative impact to Amazon buyers. We monitor customer orders and financial risk throughout the seller journey, apply surgical treatments and enforcement actions to prevent bad actors from exploiting Amazon systems and processes, particularly during a customer order’s lifecycle, to protect customer experience and prevent financial loss. We strive to prevent bad actor impact to Amazon and its customers while minimizing unnecessary friction to selling partners.

Basic Qualifications

  • 4+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience
  • Bachelor's degree or equivalent
  • Experience handling confidential information
  • Demonstrated experience conducting complex investigations using multiple data sources, leveraging data to propose solutions, and particularly with SQL and excel
  • Experience owning risk mitigation strategy, end to end delivery, and communicating results to senior leadership
  • Ability to work with incomplete information and make sound judgments under ambiguity

Preferred Qualifications

  • 3+ years of program requirements definition and data and metrics leveraging to drive improvements experience
  • 5+ years of experience in investigative roles (fraud, abuse, risk intelligence, law enforcement analysis, or similar)
  • Experience sourcing and analyzing data, including running, and modifying SQL queries to investigate anomalies and drive insights

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.

Company - ADCI - BLR 14 SEZ

Job ID: A10498982

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This is based in Bengaluru, Karnataka.

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