{"id":1984352,"url":"https://alion.io/job/microsoft-risk-manager-payment-fraud-operations","title":"Risk Manager, Payment Fraud Operations","company":{"id":18,"name":"Microsoft","domain":"microsoft.com","url":"https://alion.io/company/microsoft","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":75,"open_postings":116,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Finance","role_family":"Finance","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Redmond, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":77800,"max":153700,"currency":"USD","period":"year","gross":null,"usd_annual":153700},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Incident Management","optional":false},{"name":"AI Agents","optional":true},{"name":"Power BI","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-01T07:54:27Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T07:39:06Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"OverviewThe Payment Fraud Operations (PFO) team plays a critical role in protecting Microsoft customers and the broader payment ecosystem from payment fraud. The team combines fraud risk decisioning, operational controls, data-driven insights, and customer remediation to manage emerging payment risks while maintaining a secure and trusted customer experience.\nWe are looking for a Risk Manager, Payment Fraud Operations, based in Redmond, to lead fraud risk management and operational strategy across complex payment and customer scenarios. This role is responsible for identifying and analyzing fraudulent transaction and usage patterns, making risk-based accept/reject decisions, improving fraud prevention controls, and providing robust feedback loops to payment risk models, policies, and detection strategies.\nThe role requires strong risk management expertise, sound judgment, analytical and problem-solving skills, and the ability to influence and collaborate effectively across Operations, Engineering, Data Science, Customer Support, and other business teams.\nMicrosoft's mission is to empower every person and every organization on the planet to achieve more. We foster a culture of growth, innovation, collaboration, respect, integrity, and accountability where everyone can thrive.\nResponsibilities\nFraud Risk Decisioning\nAnalyze incoming transactions, customer, and usage signals to identify fraudulent behavior and make accurate, risk-based accept/reject decisions. \nRisk Insights & Emerging Pattern Clustering:\nIdentify emerging fraud patterns and root causes using transaction and usage data, translating insights into improved automated treatment strategies. \nCustomer Remediation:\nPartner with Customer Support to resolve complex escalations and improve customer remediation strategies.\n\nSupport incident management, root-cause analysis, and remediation for payment-fraud issues.\n\nContinuous Improvement & Operational Excellence:\nIdentify and lead opportunities to streamline operations, reduce manual effort and rework, improve workflows and tooling, and increase efficiency without compromising fraud risk controls or decision quality.\n\nRisk Model & Control Feedback:\nProvide high-quality decisioning, fraud labels and investigation insights to support risk model refinement, policy improvements, and preventative controls.\n\nDeep dive into quality gaps, identify root causes, and implement improvement strategies and preventative controls to reduce recurrence and strengthen risk outcomes.\n\nOperations OKR Performance Management:\nMonitor and improve key metrics including accuracy, false positive/negative outcomes, decision time, productivity, and customer impact.\n\nOperations Strategy & Process Improvement:\nDevelop preventative measures, process enhancements, and scalable solutions to address emerging risks and operational gaps.\n\nStakeholder Collaboration & Communication:\nPartner with Engineering, Data Science, Customer Support, and Operations to drive root-cause analysis and implement risk solutions.\n\nAct as the primary Redmond payment-fraud point of contact for Engineering and Customer Support teams.\n\nRisk Governance & Communication:\nCommunicate fraud trends, quality insights, process changes, and risk concerns to stakeholders and senior leaders.\n\nCapability Development:\nDevelop guidelines, documentation, and training and support adoption of new tools, processes, investigation guidelines and controls.\n\nEmbody our culture and values\nQualifications\nRequired Qualifications:\nBachelor's Degree in Risk Management, Engineering, Government Intelligence, Security, or Information Technology, or related field AND 2+ years experience in risk management, privacy, security, compliance, government intelligence, operations, auditing, and/or finance OR equivalent experience.\n\nPreferred Qualifications:\nBachelor’s degree in Business, Finance, Risk Management, Data Analytics, Computer Science, or a related field, or equivalent practical experience.\n\n5+ years of experience in fraud risk management, payments, financial crime, trust & safety, risk operations, or a related field.\n\nExperience analyzing transaction, customer, and usage data to identify fraud patterns, emerging risks, and root causes.\n\nExperience with risk decisioning, fraud detection strategies, risk models, rules, or control frameworks, including translating operational insights into risk improvements.\n\nStrong analytical and problem-solving skills, with experience using data to identify trends, diagnose quality gaps, and drive preventative actions.\n\nExperience driving continuous improvement and operational efficiency, including process simplification, automation, tooling enhancements, and reduction of manual effort or rework.\n\nExperience working cross-functionally with Engineering, Data Science, Operations, Customer Support, and Product/Business teams to implement scalable risk solutions.\n\nExperience establishing and managing risk and operational KPIs, such as decision accuracy, false positive/negative rates, productivity, turnaround time, customer impact, and fraud loss.\n\nStrong communication and stakeholder management skills, with the ability to translate complex risk insights into clear recommendations for both technical and senior business audiences.\n\nExperience developing SOPs, risk guidelines, training programs, and governance mechanisms to drive consistent decision-making and operational quality.\n\nFamiliarity with SQL, Kusto, Power BI, or other data analytics and visualization tools is preferred.\n\nBasic experience building or configuring AI agents, including developing clear Markdown-based instructions, setting up simple workflows, connecting relevant tools or information sources, and testing and refining outputs.\n\nAbility to operate effectively in a fast-paced, ambiguous, and globally distributed environment, balancing customer experience, fraud risk, operational efficiency, and business impact.\n\nRisk Management IC3 - The typical base pay range for this role across the U.S. is USD $77,800 - $153,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $102,200 - $169,900 per year.\nCertain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:\nhttps://careers.microsoft.com/us/en/us-corporate-pay\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.\nMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. 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