Lead Business Analyst, Fraud Analytics

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

Blend360 is an AI-centric consulting firm that helps organizations solve complex business challenges through data, analytics, cloud, and digital transformation. We partner with leading Fortune 500 companies to deliver innovative solutions across industries including financial services, healthcare, retail, consumer goods, and technology. Our collaborative, people-first culture empowers talented professionals to make a meaningful impact while working with cutting‑edge technologies and some of the world’s most recognized brands.

Blend360 is an AI-centric consulting firm that helps organizations solve complex business challenges through data, analytics, cloud, and digital transformation. We partner with leading Fortune 500 companies to deliver innovative solutions across industries including financial services, healthcare, retail, consumer goods, and technology. Our collaborative, people-first culture empowers talented professionals to make a meaningful impact while working with cutting‑edge technologies and some of the world’s most recognized brands.

Job Description

Blend is seeking a Fraud Analytics Lead Analyst to support fraud strategy and analytics across our financial services clients. In this role, you will leverage data to identify fraud trends, uncover emerging risks, and develop strategies that help prevent fraud across the payments lifecycle.

You will work in a highly collaborative, data-driven environment, partnering with fraud, risk, analytics, and technology teams to improve fraud detection, reduce losses, and strengthen controls against evolving fraud threats.

What You're Doing

• Analyze large datasets to identify fraud trends, patterns, and emerging risks across payment and card portfolios.
• Develop and support fraud risk strategies across the full fraud lifecycle, including application fraud, synthetic identity fraud, and account takeover.
• Translate complex data into actionable insights that drive fraud prevention strategies and business decisions.
• Partner with Fraud Policy, Operations, Risk, and Technology teams to implement, optimize, and enhance fraud decision strategies.
• Support the testing, implementation, monitoring, and continuous improvement of fraud decision systems.
• Create reports, dashboards, and analytical insights to measure strategy performance and identify optimization opportunities.
• Assist with fraud model monitoring, validation, and performance evaluation within production environments.
• Document analyses, findings, and recommendations, and present insights to business partners and senior leadership.

Qualifications

Required Experience

• Hands‑on experience in fraud analytics within the payments industry, including credit cards, banking, fintech, or other financial services.
• Strong analytical background working with large, complex datasets in Big Data environments.
• Proficiency with data analysis tools such as SQL, Python, SAS, Hive, or similar technologies.
• Demonstrated ability to identify fraud patterns, trends, anomalies, and actionable insights from complex data.
• Experience supporting business decisions through data analysis, reporting, and strategic recommendations.

Preferred Qualifications

• Experience working with fraud models, including model monitoring, validation, or performance evaluation.
• Familiarity with fraud decision engines, rules‑based strategies, or fraud strategy implementation.
• Exposure to risk management, regulatory, or financial services environments.
• Excellent communication and presentation skills, with the ability to explain complex analytical findings to both technical and non-technical stakeholders.

Education

• Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, Data Analytics, Finance, or another quantitative field.

What This Role Requires

This is not a general Data Analyst position. Successful candidates will have direct, hands‑on experience in fraud analytics within the payments industry and be comfortable working in large-scale, data-intensive environments. You should have a proven ability to leverage data to identify fraud risks, develop actionable insights, and support strategies that reduce fraud losses while improving the customer experience.