AmazonPosted 2w ago

Risk Manager II, Travel and Expense Reimbursement Audit (TERA)

Risk Manager II, Travel and Expense Reimbursement Audit (TERA) at Amazon scores 10 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

IN, TS, Hyderabadmidfull-time

AI in this role

prompt-engineering

Amazon's Travel & Expense Reimbursement Audit (TERA) team is seeking a Risk Specialist II (L5) who combines deep investigative expertise with a builder's mindset and a relentless focus on operational excellence. This role is pivotal to TERA's automation roadmap — you will investigate complex expense fraud, abuse, and waste (FAW) cases with rigor and depth, independently design and prototype scalable, user-friendly investigation tools using AI, and systematically eliminate non-productive work that drains investigator capacity.

A core mandate of this role is to raise investigation quality while reducing wasted effort — by identifying and eliminating false positives in detection rules, streamlining multi-touch-point processes into efficient single-pass workflows, and building the tooling and frameworks that make every investigator more effective.

This role sits at the intersection of domain expertise and technology — you will be the bridge between what investigators need and what automation can deliver, with a constant eye on removing friction and non-value-add work from the investigation lifecycle.

Key job responsibilities
- Conduct end-to-end deep-dive investigations of complex FAW cases across transactional data, OCR receipts, badge scans, and travel records; identify patterns, perform root-cause analysis, and deliver evidence-based findings.

- Measure and test risk controls to inform program-level risk assessment; identify gaps in methodology and escalate with recommended solutions.

- Serve as the domain SME for your investigation area — stay current on fraud trends, regulatory changes, and industry best practices and apply insights across teams.

- Analyze detection rule outputs to systematically reduce false positives through threshold calibration, exception logic, and contextual filters — ensuring investigators focus on genuine risk signals.

- Define and own investigation quality frameworks and metrics (QC scores, rework rates, disposition accuracy); drive improvement through data-driven feedback loops and root-cause analysis.

- Map investigation workflows to identify redundant handoffs and multiple touch points; re-engineer into streamlined single-pass processes that reduce cycle time and cognitive load.

- Quantify non-productive work and implement prevention mechanisms — automated pre-filters, smart routing, templated outputs — tracking productivity gains against benchmarks.

- Design and build scalable, user-friendly investigation tools, dashboards, and workflow interfaces; own the full lifecycle from pain-point identification to adoption.

- Partner with engineering and product teams to translate investigator needs into technical requirements, roadmap inputs, and production-ready solutions.

- Independently build prototypes and proof-of-concepts using generative AI, LLMs, prompt engineering, and no-code/low-code platforms to solve investigation challenges.

- Support Astra/Virtual Investigator testing, develop and tune Dexter detection rules, and validate SOP Automation outputs to ensure accuracy and consistency.

- Work across engineering, product, data science, and operations teams; maintain SOPs and documentation; mentor peers and deliver risk management training.

About the team
TERA operates within Amazon's Global Risk & Compliance organization, responsible for safeguarding the company's Travel & Expense ecosystem. The team investigates potential fraud, abuse, and waste in employee expense submissions across all geographies.

TERA is in a transformational phase, building AI and automation programs to dramatically scale investigation capacity while improving quality and eliminating inefficiency.

Basic qualifications

- 5+ years of fraud audits/risk investigations experience
- Experience effectively communicating complex concepts through written and verbal communication
- Experience handling confidential information and maintaining professionalism in dealing with senior executives, or experience with end-to-end project management
- Bachelor’s degree in Finance, Accounting, Business, Economics, or a related field.
- Demonstrated ability to manage multiple concurrent investigations with attention to detail and adherence to deadlines.
- Proficiency in data analysis using Excel, AI/ML tools (e.g., generative AI, LLMs, prompt engineering, no-code/low-code AI platforms)

Preferred qualifications

- Experience using Lean Process Improvement, Six Sigma methodologies or related performance metrics/process improvements to increase efficiency within processes, forecasting, planning, optimization, and logistics
- Experience in an operational role, or experience working with data analytics and using these metrics to identify problems
- Certified Fraud Examiner (CFE), CA, CIA, CAMS, or similar professional certification.
- Familiarity with UX/UI design principles and user-centered design thinking.
- Experience with travel & expense management systems (e.g., SAP Concur, Coupa) or corporate audit programs.

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