Risk Intelligence Manager

Jobgether; United States; Remote; USD 110,000 - 140,000; Full time

Benefits offered by this job

Remote work within the United States

High base salary with regional tiers

Equity grant

Job summary

Jobgether is seeking a Risk Intelligence Manager for a remote role in the United States. You will lead a team of fraud analysts, develop investigative standards, and translate fraud insights into scalable risk strategies and ML improvements.

You will collaborate across data science, product, engineering, and customer success to balance fraud prevention with revenue and customer experience. The role emphasizes developing capabilities, driving cross-functional initiatives, and shaping secure,

Qualifications

• 3+ years leading and coaching fraud/risk teams.
• 5+ years in e-commerce, payments, fraud or risk management with hands-on investigations.
• Strong ability to balance financial risk with customer experience.
• Experience building investigative playbooks and standard operating procedures.

Responsibilities

• 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.

Skills

People management

Fraud prevention

Risk management

E-commerce

Data-driven decision making

Cross-functional collaboration

Job description

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 across data science, product, engineering, and customer success to translate 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.

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, 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.

Benefits

• 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.