Manager (remote)

North American Search Group

United States

Remote

USD 160,000 - 185,000

Full time

42 hours ago
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Job summary

North American Search Group is seeking a remote Manager to lead an analytics team focused on signaling detection and rapid mitigation of fraud patterns. You will oversee dashboards and cross-functional defenses, driving AI/ML optimization and robust feature improvements with ML engineers.

Responsibilities include owning operational metrics, mentoring junior analysts, and shaping core risk strategies with leadership, product, engineering, and fraud ops.

Qualifications

  • 5+ years in fraud analytics.
  • Startup experience is a major plus.
  • Proficient in SQL and Python; strong statistical analysis, data wrangling, and storytelling.
  • Excellent communication and stakeholder management.

Responsibilities

  • Signal Detection: Lead an analytics team in analyzing massive behavioral and transactional datasets to uncover hidden fraud and abuse patterns.
  • Rapid Mitigation: Build monitoring frameworks, dashboards, and agile defenses to combat emerging fraud threats cross-functionally.
  • AI & ML Optimization: Track and optimize AI agent performance for Fraud Ops, partnering with Machine Learning engineers to translate fraud insights into robust model feature improvements.
  • Metrics & Reporting: Own key operational efficiency metrics and regular reporting to quantify fraud savings.
  • Team Leadership: Hire, mentor, and elevate junior data analysts while driving technical excellence through code and design reviews.
  • Strategic Partnership: Collaborate closely with leadership, product, engineering, and fraud ops to define core risk strategies.
  • Set the standard for the team in terms of analytical thinking and excellence.

Skills

Fraud analytics
Stakeholder management
Communication
Data storytelling
Problem-solving

Tools

SQL
Python

Job description

  • Signal Detection: Lead an analytics team in analyzing massive behavioral and transactional datasets to uncover hidden fraud and abuse patterns.
  • Rapid Mitigation: Build monitoring frameworks, dashboards, and agile defenses to combat emerging fraud threats cross-functionally.
  • AI & ML Optimization: Track and optimize AI agent performance for Fraud Ops, partnering with Machine Learning engineers to translate fraud insights into robust model feature improvements.
  • Metrics & Reporting: Own key operational efficiency metrics and regular reporting to quantify fraud savings.
  • Team Leadership: Hire, mentor, and elevate junior data analysts while driving technical excellence through code and design reviews.
  • Strategic Partnership: Collaborate closely with leadership, product, engineering, and fraud ops to define core risk strategies.
  • Set the standard for the team in terms of analytical thinking and excellence.
Manager (remote)
  • 41194
  • Non-Life - Data Science
  • |
  • United States
  • |
  • 2 days ago
RESPONSIBILITIES
  • Signal Detection: Lead an analytics team in analyzing massive behavioral and transactional datasets to uncover hidden fraud and abuse patterns.
  • Rapid Mitigation: Build monitoring frameworks, dashboards, and agile defenses to combat emerging fraud threats cross-functionally.
  • AI & ML Optimization: Track and optimize AI agent performance for Fraud Ops, partnering with Machine Learning engineers to translate fraud insights into robust model feature improvements.
  • Metrics & Reporting: Own key operational efficiency metrics and regular reporting to quantify fraud savings.
  • Team Leadership: Hire, mentor, and elevate junior data analysts while driving technical excellence through code and design reviews.
  • Strategic Partnership: Collaborate closely with leadership, product, engineering, and fraud ops to define core risk strategies.
  • Set the standard for the team in terms of analytical thinking and excellence.
QUALIFICATIONS
  • 5+ years in fraud analytics
  • High-growth startup background is a major plus.
  • Tech Stack: Strong proficiency in SQL and experience with Python, paired with core expertise in statistical analysis, data wrangling, and storytelling.
  • Core Skills: Exceptional communication, stakeholder management, and a hands‑on, proactive approach to problem‑solving.
SALARY
  • 160-185k
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Senior Machine Learning Data Scientist (remote)

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