Head of Data Science - Fraud Insights

Socure Socure · Vertical AI · United States · Remote · Data Science & AI

This role leads research into fraud patterns using a large identity graph, bridging external signals with internal models to generate intelligence and influence product strategy. It requires deep expertise in econometrics, fraud, and large-scale data, with a focus on external communication and team leadership.

What you'd actually do

  1. Own the Research Agenda
  2. Turn the Identity Graph Into Intelligence
  3. Bridge the Outside World to Internal Models
  4. Tell Stories That Change Minds
  5. Build & Lead a World-Class Team

Skills

Required

  • Applied econometrics (panel data, diff-in-diff, regression discontinuity, survival analysis, network econometrics)
  • Causal inference
  • Fraud domain expertise (synthetic identity, first-party fraud, account takeover, etc.)
  • Large-scale data analysis (identity, behavioral, transaction)
  • Graph structures and feature engineering
  • Python
  • SQL
  • Graph analytics
  • ML frameworks
  • External communication and presentation skills
  • Team leadership and mentorship

Nice to have

  • Regulatory intelligence
  • Macroeconomic analysis
  • Storytelling and narrative development

What the JD emphasized

  • proper identification strategies
  • causal inference
  • natural experiments
  • external credibility
  • fraud domain expertise
  • large-scale identity, behavioral, or transaction datasets
  • external credibility and presence

Other signals

  • The role is focused on understanding and predicting fraud evolution using a large identity graph.
  • It requires bridging external signals (regulatory, macroeconomic) with internal models and product roadmaps.
  • The output includes white papers, conference presentations, and regulatory briefings, emphasizing narrative and impact.
  • Leadership of a research and data science team is a key responsibility.