Risk Intelligence Manager

Signifyd

7d•$100,000 - $140,000•Remote

About The Position

The Risk Intelligence Manager leads and develops a team of fraud analysts who investigate emerging threats, respond to fraud incidents, and translate behavioral insights into effective risk strategies. The role strengthens the people, tools, processes, and analytical standards that enable the team to succeed through coaching, improved investigative practices, established best practices, and development of skills for solving increasingly complex risk problems. The manager partners with Risk leadership and teams across Data Science, Customer Success, Product, and Engineering to turn investigative findings into scalable improvements that reduce fraud losses, support intelligent risk-taking, and improve customer experiences. Success requires strong people leadership, analytical judgment, operational discipline, and the ability to communicate complex risk issues clearly to technical, business, and customer audiences. Risk Intelligence proactively detects and monitors fraud to mitigate financial losses and protect portfolio health. The organization collaborates with Data Science to improve machine-learning model performance, uses real-world fraud patterns and merchant feedback to enhance detection, and aims to reduce friction while driving revenue and building merchant trust.

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, close skill gaps, and serve as the escalation resource for complex investigations and emerging attacks.
Own and improve 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 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 by explaining risk decisions and sharing effective practices.
Coach analysts to communicate risk insights clearly and build confidence presenting to customers.