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

Job description

Description: 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. Requirements: - 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) - 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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