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Open nowPosted 7 hours agoWe saw it 89 min after it went up

Risk Intelligence Manager

Signifyd15 open roles

Where
US
Work mode
Remote
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Your applicationOpen nowRisk Intelligence ManagerSignifyd · US
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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. Signifyd postings stay open a median of 49 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 7 hours ago

Signifyd median: 49 days open

The posting

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Risk Intelligence Manager based in the United States.

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.

Accountabilities

  • Lead, hire, coach, and performance-manage a team of fraud analysts, supporting professional development, addressing skill gaps, and building a high-performing team.
  • Serve as an escalation point for complex investigations, emerging fraud attacks, and time-sensitive risk incidents.
  • Establish and continuously improve investigative standards, operational playbooks, case review procedures, and incident response workflows.
  • Develop and refine processes for merchant onboarding, decision transparency, and risk rule design, particularly when historical data is limited.
  • Translate investigative findings and emerging fraud patterns into actionable recommendations that improve business outcomes and customer experiences.
  • 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.
  • Provide subject-matter expertise during customer conversations, clearly explaining risk decisions, fraud trends, and effective prevention practices.
  • Coach analysts to communicate complex risk insights effectively to technical teams, business stakeholders, and customers.
  • Promote consistent analytical judgment and operational discipline while balancing fraud losses, customer friction, revenue protection, and intelligent risk-taking.
  • Represent the Risk Intelligence function in cross-functional initiatives, helping drive sustainable improvements in fraud detection and portfolio health.
  • 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, payments, fraud prevention, or risk management, including hands-on fraud investigations and emerging-threat response.
  • Strong analytical judgment and the ability to balance financial risk, customer experience, revenue growth, and appropriate risk acceptance.
  • Demonstrated experience developing operational standards, investigative playbooks, team workflows, and processes for continuous improvement.
  • Excellent communication and presentation skills, with the ability to explain complex risk decisions and recommendations to technical, business, and customer audiences.
  • Proven ability to collaborate across functions, particularly with data science, customer success, product, and engineering teams.
  • Strong leadership, prioritization, and problem-solving skills, with the ability to guide teams through complex and evolving fraud challenges.
  • A structured, data-informed approach to investigations, incident response, and operational decision-making.
  • Remote work: Work remotely from within the United States.
  • Annual base salary: Compensation varies by geographic pay zone: Tier 1 — New York City, San Francisco Bay Area, and Seattle: $120,000–$140,000 per year. Tier 2 — Washington, D.C. metro area, Austin, Chicago, Denver, Boston, Los Angeles, and San Diego: $110,000–$130,000 per year. Tier 3 — All other U.S. locations: $100,000–$120,000 per year. Equity: Eligible for a grant of 1,500 stock options, subject to position level and internal compensation guidelines. Performance bonus: Eligible for an annual bonus of up to 10% of base salary. Paid time off: Discretionary time off policy with flexible leave arrangements. Retirement savings: 401(k) plan with employer matching. Parental leave: 12 weeks of paid parental leave. Health and wellness: Health, dental, and vision insurance, plus flexible spending account (FSA) benefits. Insurance protection: Short-term disability, long-term disability, and life insurance coverage. Mental health support: On-demand therapy available to employees and their dependents. Learning and development: Dedicated learning budget through Learnerbly. Company culture: Social events and company-branded merchandise. Inclusive hiring: Reasonable accommodations are available to candidates who need individualized support during the interview process.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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