Head of Data Science - Identity & Compliance

Glocomms; New York (NY); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Executive leadership exposure

Hybrid work environment

Competitive compensation

Job summary

Glocomms partners with an industry-leading technology company redefining fraud prevention, identity verification, and risk management through advanced data science and AI. We seek an executive Head of Data Science, Identity & Compliance to lead research, shape product strategy, and influence executive decisions.

You will grow a high-performing team, translate complex analytics into actionable guidance for product, risk, and leadership, and serve as a public thought leader through conferences and

Qualifications

• 10+ years in Data Science, Fraud Analytics, Risk Research, or related field.
• Expertise in fraud prevention, identity, AML, and risk management.
• Strong track record leading technical teams and communicating with executives.

Responsibilities

• Lead and grow a high-performing team of Data Scientists, Researchers, and Analysts.
• Develop research around fraud, identity risk, compliance, and financial crime trends.
• Leverage large-scale datasets to identify threats and actionable insights.
• Partner with Product, Engineering, AI, and Leadership to drive product innovation.
• Serve as a public thought leader through conferences, publications, and engagements.
• Translate analytical findings into narratives for executives, regulators, customers.
• Influence strategic decisions with data-driven intelligence.

Skills

Data Science Leadership

Fraud Analytics

Leadership

Causal Inference

ML Modeling

Executive Communication

Education

MS/PhD in quantitative field

Tools

Graph Analytics

Econometrics

SQL/Big Data

Job description

Head of Data Science, Identity & Compliance

New York, San Francisco, Seattle, or Miami (Hybrid)

We're partnering with an industry-leading technology company that is redefining how organizations combat fraud, verify identities, and manage risk through advanced data science and AI.

This is a highly visible executive leadership opportunity for a data science leader who can combine deep analytical expertise with market-facing thought leadership. You'll lead research initiatives, shape product strategy, influence executive decision-making, and help define the future of identity and fraud intelligence.

What You'll Do

• Lead and grow a high-performing team of Data Scientists, Researchers, and Analysts.
• Develop innovative research around fraud, identity risk, compliance, and emerging financial crime trends.
• Leverage large-scale behavioral, transactional, device, and network datasets to identify evolving threats and uncover actionable insights.
• Partner closely with Product, Engineering, AI, and Executive Leadership teams to transform research findings into product innovation and competitive differentiation.
• Serve as a public thought leader through industry conferences, publications, customer engagements, and market-facing research.
• Translate complex analytical findings into compelling narratives for executives, regulators, customers, and technical stakeholders.
• Influence strategic business decisions through data-driven insights and forward-looking intelligence.

What We're Looking For

• 10+ years of experience in Data Science, Fraud Analytics, Risk Research, Quantitative Economics, or a related discipline.
• Deep expertise in fraud prevention, identity verification, financial crime, AML, risk management, or adjacent domains.
• Strong background in causal inference, econometrics, machine learning, statistical modeling, and predictive analytics.
• Experience analyzing large-scale datasets and extracting business-critical insights.
• Proven success building, mentoring, and leading high-performing technical teams.
• Exceptional communication skills with the ability to engage both highly technical and executive audiences.

Preferred Qualifications

• MS or PhD in Statistics, Economics, Computer Science, Mathematics, Data Science, or a related quantitative field.
• Experience in fintech, financial services, payments, credit, trust & safety, or identity verification.
• Exposure to graph analytics, network modeling, fraud ring detection, or advanced AI/ML applications.
• Published research, conference speaking experience, or recognized thought leadership within the data science community.

Why Join?

• Executive-level visibility and influence
• Opportunity to shape industry-leading research and innovation
• High-impact work at the intersection of AI, fraud prevention, compliance, and identity intelligence
• Collaborative environment with strong technical talent and leadership support