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Risk Manager, Payment Fraud Operations

Finance, Banking & Legal · Banking & Investments · Risk Management

In short

The Payment Fraud Operations team is seeking a Risk Manager in Redmond to lead fraud risk management and operational strategy. This role involves analyzing fraudulent transactions, making risk-based decisions, improving prevention controls, and collaborating across various teams. The ideal candidate has a Bachelor's degree and experience in risk management, with preferred qualifications including a strong background in fraud risk management and data analysis.

Responsibilities

  • Analyze incoming transactions, customer, and usage signals to identify fraudulent behavior and make accurate, risk-based accept/reject decisions.
  • Identify emerging fraud patterns and root causes using transaction and usage data, translating insights into improved automated treatment strategies.
  • Partner with Customer Support to resolve complex escalations and improve customer remediation strategies.
  • Support incident management, root-cause analysis, and remediation for payment-fraud issues.
  • Identify and lead opportunities to streamline operations, reduce manual effort and rework, improve workflows and tooling, and increase efficiency.
  • Provide high-quality decisioning, fraud labels and investigation insights to support risk model refinement, policy improvements, and preventative controls.
  • Deep dive into quality gaps, identify root causes, and implement improvement strategies and preventative controls.
  • Monitor and improve key metrics including accuracy, false positive/negative outcomes, decision time, productivity, and customer impact.
  • Develop preventative measures, process enhancements, and scalable solutions to address emerging risks and operational gaps.
  • Partner with Engineering, Data Science, Customer Support, and Operations to drive root-cause analysis and implement risk solutions.
  • Act as the primary Redmond payment-fraud point of contact for Engineering and Customer Support teams.
  • Communicate fraud trends, quality insights, process changes, and risk concerns to stakeholders and senior leaders.
  • Develop guidelines, documentation, and training and support adoption of new tools, processes, investigation guidelines and controls.
  • Embody our culture and values.

Requirements

  • Bachelor'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.

Desired Qualifications

  • Bachelor’s degree in Business, Finance, Risk Management, Data Analytics, Computer Science, or a related field, or equivalent practical experience.
  • 5+ years of experience in fraud risk management, payments, financial crime, trust & safety, risk operations, or a related field.
  • Experience analyzing transaction, customer, and usage data to identify fraud patterns, emerging risks, and root causes.
  • Experience with risk decisioning, fraud detection strategies, risk models, rules, or control frameworks, including translating operational insights into risk improvements.
  • Strong analytical and problem-solving skills, with experience using data to identify trends, diagnose quality gaps, and drive preventative actions.
  • Experience driving continuous improvement and operational efficiency, including process simplification, automation, tooling enhancements, and reduction of manual effort or rework.
  • Experience working cross-functionally with Engineering, Data Science, Operations, Customer Support, and Product/Business teams to implement scalable risk solutions.
  • Experience establishing and managing risk and operational KPIs, such as decision accuracy, false positive/negative rates, productivity, turnaround time, customer impact, and fraud loss.
  • Strong communication and stakeholder management skills, with the ability to translate complex risk insights into clear recommendations for both technical and senior business audiences.
  • Experience developing SOPs, risk guidelines, training programs, and governance mechanisms to drive consistent decision-making and operational quality.
  • Familiarity with SQL, Kusto, Power BI, or other data analytics and visualization tools is preferred.
  • Basic 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.
  • Ability to operate effectively in a fast-paced, ambiguous, and globally distributed environment, balancing customer experience, fraud risk, operational efficiency, and business impact.

Benefits

  • Typical base pay range for this role across the U.S. is USD $77,800 - $153,700 per year.
  • Different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, is USD $102,200 - $169,900 per year.
  • Certain roles may be eligible for benefits and other compensation.
  • Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Skills

SQLKustoPower BI
#risk management#fraud operations#payment fraud#data analysis#operational strategy#risk decisioning#fraud prevention#stakeholder collaboration
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Company

Microsoft

Job Posted

3 weeks ago

Employment Type

Full Time

Work mode

Hybrid

Salary

US$77,800–169,900 · Negotiable

Experience Level

Mid-Senior

Locations

Redmond, United States

Qualification

Bachelor

Applicants

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