Risk Intelligence Manager
Quick Summary
At least 3 years of direct people management experience, including coaching, performance management, and developing effective teams. At least 5 years of professional experience in e-commerce,
We are seeking an experienced risk and fraud prevention leader to manage a team of analysts focused on detecting emerging threats, investigating suspicious activity, and protecting business performance in the evolving e-commerce landscape. In this remote role, you will develop analytical talent, strengthen investigative practices, and establish operational standards that improve fraud detection and incident response. You will collaborate with teams across data science, product, engineering, and customer success to turn real-world fraud insights into scalable risk strategies and machine learning improvements. By balancing fraud prevention, revenue protection, and customer experience, you will help enable smarter risk decisions and reduce financial losses. This position offers the opportunity to shape team capabilities, influence cross-functional initiatives, and contribute to more secure, seamless digital commerce experiences.
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Lead, hire, coach, and performance-manage a team of fraud analysts, supporting professional development, addressing skill gaps, and building a high-performing team.
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Serve as an escalation point for complex investigations, emerging fraud attacks, and time-sensitive risk incidents.
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Establish and continuously improve investigative standards, operational playbooks, case review procedures, and incident response workflows.
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Develop and refine processes for merchant onboarding, decision transparency, and risk rule design, particularly when historical data is limited.
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Translate investigative findings and emerging fraud patterns into actionable recommendations that improve business outcomes and customer experiences.
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Partner with Risk leadership, Data Science, Customer Success, Product, and Engineering to identify capability gaps and transform fraud behaviors into reliable signals, features, and machine learning model improvements.
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Provide subject-matter expertise during customer conversations, clearly explaining risk decisions, fraud trends, and effective prevention practices.
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Coach analysts to communicate complex risk insights effectively to technical teams, business stakeholders, and customers.
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Promote consistent analytical judgment and operational discipline while balancing fraud losses, customer friction, revenue protection, and intelligent risk-taking.
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Represent the Risk Intelligence function in cross-functional initiatives, helping drive sustainable improvements in fraud detection and portfolio health.
Requirements
~1 min read-
At least 3 years of direct people management experience, including coaching, performance management, and developing effective teams.
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At least 5 years of professional experience in e-commerce, payments, fraud prevention, or risk management, including hands-on fraud investigations and emerging-threat response.
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Strong analytical judgment and the ability to balance financial risk, customer experience, revenue growth, and appropriate risk acceptance.
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Demonstrated experience developing operational standards, investigative playbooks, team workflows, and processes for continuous improvement.
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Excellent communication and presentation skills, with the ability to explain complex risk decisions and recommendations to technical, business, and customer audiences.
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Proven ability to collaborate across functions, particularly with data science, customer success, product, and engineering teams.
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Strong leadership, prioritization, and problem-solving skills, with the ability to guide teams through complex and evolving fraud challenges.
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A structured, data-informed approach to investigations, incident response, and operational decision-making.
What We Offer
~2 min readLocation & Eligibility
About this job
- Pay per year
- $120,000–$140,000 a year
- 27% below the $178,175 median for Product Manager jobs on Jobera (1,360 salaries).
- Who can apply
- United States
- Posted
- Today
Listing Details
- Posted
- October 22, 2026
- First seen
- October 22, 2026
- Last seen
- October 22, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 80%
- Scored at
- October 22, 2026
Signal breakdown
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