Fraud Analytics Lead: Payments Risk & Prevention

Blend; Jacksonville (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

Blend is seeking a Fraud Analytics Lead Analyst to guide fraud strategy and analytics across financial services clients. You will leverage data to identify fraud trends, uncover risks, and develop strategies to prevent fraud across the payments lifecycle.

You will collaborate with fraud, risk, analytics, and technology teams to strengthen detection, reduce losses, and improve controls against evolving threats.

Qualifications

• Hands-on fraud analytics in payments industry.
• Experience working with large, complex datasets.
• Proficiency in SQL, Python, SAS, Hive.
• Ability to identify fraud patterns and insights.
• Experience turning data into business decisions.

Responsibilities

• Analyze large datasets to identify fraud trends across payment portfolios.
• Develop and support fraud risk strategies across the lifecycle.
• Translate data into actionable insights that drive fraud prevention.
• Partner with Fraud Policy, Operations, Risk, and Technology teams to improve strategies.
• Support testing, implementation, monitoring, and enhancement of fraud decision systems.
• Create reports, dashboards, and insights to measure strategy performance.
• Assist with fraud model monitoring and evaluation in production.
• Document analyses and present insights to leadership.

Skills

Fraud analytics

Big data

SQL

Python

SAS

Hive

Data analysis

Reporting

Strategic insights

Education

Bachelor's degree in quantitative field

Tools

SAS

Job description

Blend is seeking a Fraud Analytics Lead Analyst to guide fraud strategy and analytics across financial services clients. You will leverage data to identify fraud trends, uncover risks, and develop strategies to prevent fraud across the payments lifecycle.

You will collaborate with fraud, risk, analytics, and technology teams to strengthen detection, reduce losses, and improve controls against evolving threats.