Signifyd - Risk Intelligence Manager
Requirements
• 3+ years of direct people management, including coaching and performance management, with a track record of building an effective team. • 5+ years in ecommerce, payments, fraud prevention, or risk management, including fraud investigations and emerging-threat response. • Advanced analytical judgment, including balancing fraud losses, customer experience, and intelligent risk-taking. • Experience building operational standards, playbooks, and workflows, and the discipline to improve how a team works. • Effective communication skills presenting to a variety of technical, business, and customer audiences • Solid cross-functional experience partnering with data science, customer success, product, or engineering.
Responsibilities
• Hire, coach, and performance-manage a team of fraud analysts, closing skill gaps and serving as the escalation resource for complex investigations and emerging attacks. • Own and improve the standards, playbooks, and tools for incident response, case review, merchant onboarding, decision transparency, and rule design where historical data is limited. • Turn investigative findings into clear recommendations for the teams responsible for business and customer outcomes, and represent Risk Intelligence in cross-functional initiatives. • Partner with business-unit leaders, Data Science, Customer Success, Product, and Engineering to close capability gaps and turn fraud behaviors into durable signals, features, and model improvements. • Support customer conversations as a fraud subject-matter expert, explaining risk decisions and sharing effective practices. Coach analysts to communicate risk insights clearly and build confidence presenting to customers. • 3+ years of direct people management, including coaching and performance management, with a track record of building an effective team. • 5+ years in ecommerce, payments, fraud prevention, or risk management, including fraud investigations and emerging-threat response. • Advanced analytical judgment, including balancing fraud losses, customer experience, and intelligent risk-taking. • Experience building operational standards, playbooks, and workflows, and the discipline to improve how a team works. • Effective communication skills presenting to a variety of technical, business, and customer audiences • Solid cross-functional experience partnering with data science, customer success, product, or engineering.
Benefits
• Discretionary Time Off Policy (Unlimited!) • Annual Performance Bonus or Commissions • Paid Parental Leave (12 weeks) • On-Demand Therapy for all employees & their dependents • Dedicated learning budget through Learnerbly • Health Insurance • Dental Insurance • Vision Insurance • Flexible Spending Account (FSA) • Short Term and Long Term Disability Insurance • Company Social Events • In the United States, each work location is assigned a specific pay zone, which determines the salary range for a given position. The starting base salary for the selected candidate will be based on a variety of factors, including job-related skills, experience, qualifications, geographic location, and current market conditions. • Tier 1 (NYC/SF Bay Area/Seattle): $120,000 – $140,000 annually • Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego): $110,000 – $130,000 annually • Tier 3 (US - All Other): $100,000– $120,000 annually • Equity: This role is eligible for a stock option grant of 1500 stock options, based on the position level and internal compensation guidelines. • Equity: • Bonus: This role is eligible for an annual performance bonus of up to 10% of base salary. • Bonus: • We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT