Risk Intelligence Manager
J
JobgetherE-commerce fraud prevention
Work remotely from within the United States.Full-TimeManager
SalaryAnnual base salary: 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.
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Job Details
- Experience
- At least 3 years of direct people management experience; at least 5 years of professional experience in e-commerce, payments, fraud prevention, or risk management.
- Required Skills
- Machine LearningPeople ManagementCross-functional collaborationRisk Management
Requirements
- 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.
- Hands-on experience with fraud investigations and emerging-threat response.
- Strong analytical judgment and the ability to balance financial risk, customer experience, revenue growth, and appropriate risk acceptance.
- Experience developing operational standards, investigative playbooks, team workflows, and continuous-improvement processes.
- Excellent communication and presentation skills to explain complex risk decisions and recommendations to technical, business, and customer audiences.
- Ability to collaborate across functions, particularly with data science, customer success, product, and engineering teams.
- Strong leadership, prioritization, and problem-solving skills to guide teams through evolving fraud challenges.
- A structured, data-informed approach to investigations, incident response, and operational decision-making.
Responsibilities
- Lead, hire, coach, and performance-manage a team of fraud analysts.
- Serve as an escalation point for complex investigations, emerging fraud attacks, and time-sensitive risk incidents.
- Establish and improve investigative standards, operational playbooks, case review procedures, and incident response workflows.
- Develop processes for merchant onboarding, decision transparency, and risk rule design, particularly when historical data is limited.
- Translate investigative findings and emerging fraud patterns into recommendations that improve business outcomes and customer experiences.
- Partner with Risk leadership, Data Science, Customer Success, Product, and Engineering to identify capability gaps and improve signals, features, and machine learning models.
- Provide subject-matter expertise during customer conversations about risk decisions, fraud trends, and prevention practices.
- Coach analysts to communicate risk insights to technical teams, business stakeholders, and customers.
- Promote consistent analytical judgment and operational discipline while balancing fraud losses, customer friction, revenue protection, and risk-taking.
- Represent the Risk Intelligence function in cross-functional initiatives to improve fraud detection and portfolio health.
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