Fraud Analytics Leader

Nuvative; Wichita (KS); On-site; USD 95,000 - 140,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with match

Flexible Spending Account

Job summary

Nuvative is seeking a Fraud Manager to lead analytics-driven fraud risk strategies from applications through payment collections. The role blends hands‑on execution with strategic planning to minimize losses and improve detection across acquisition and existing customers.

You will partner with the Data Science and Compliance teams to develop models, define KPIs, and implement robust fraud controls while guiding a team of fraud specialists in day‑to‑day activities.

Qualifications

• Bachelor's degree or commensurate work experience required.
• Advanced SQL experience preferred.
• Working knowledge of financial products, processes, and procedures preferred.
• Exceptional verbal and written communication skills and data storytelling.
• Strong analytical and problem‑solving skills using data to identify gaps and mitigate risk.

Responsibilities

• Lead a team of fraud specialists in daily fraud sweep and monitoring.
• Collaborate with VP Credit Risk & Analytics to build fraud strategy roadmap.
• Analyze fraud patterns and develop prevention strategies to minimize losses.
• Research, analyze, and automate fraud and risk detection processes.
• Monitor risk metrics and create KPIs to track fraud prevention and losses.
• Develop monitoring and alerting systems for controls effectiveness.
• Work with Data Science to build models that detect and mitigate fraud risk.
• Partner with Legal & Compliance to develop policies supporting UW, data, and fraud.

Skills

Advanced SQL

Fraud risk management

Data storytelling

Analytical skills

Verbal & written communication

Big data analysis

Education

Bachelor's degree or commensurate work experience

Tools

SQL

Job description

Nuvative is seeking a Fraud Manager to lead analytics-driven fraud risk strategies from applications through payment collections. The role blends hands‑on execution with strategic planning to minimize losses and improve detection across acquisition and existing customers.

You will partner with the Data Science and Compliance teams to develop models, define KPIs, and implement robust fraud controls while guiding a team of fraud specialists in day‑to‑day activities.