Real-Time Fraud Strategy Lead

Jobtailor; North Carolina; On-site; USD 110,000 - 150,000; Full time

Job summary

Jobtailor is seeking a seasoned fraud risk professional to define and manage real-time fraud prevention strategies across payment channels. You will design rules, tune decision logic, and drive platform improvements in partnership with engineering.

The role requires strong analytics, cross-functional collaboration, and expertise in fraud models and ML concepts. Applicants should have 4+ years in fraud risk or financial crimes, with a Bachelor’s in a quantitative field.

Qualifications

• 4+ years in fraud risk, payments risk, or financial crimes.
• Expertise in account takeover, social engineering, and transaction fraud risks.
• Proven experience managing real-time fraud decisioning environments and rules strategies.
• Strong cross-functional partnership with Product, Engineering, Risk, and Operations.
• Bachelor’s degree in Statistics, Mathematics, Data Science, Finance, Computer Science, or related field; graduate degree preferred.
• Expertise in fraud rules engines / decisioning platforms.
• Strong analytical capabilities (data analysis, segmentation, performance optimization).
• Working knowledge of fraud models / machine learning concepts and governance.
• Ability to translate data into actionable fraud strategies and business decisions.
• Experience with Python, R, SAS, SQL; Tableau or Power BI.

Responsibilities

• Define fraud prevention strategy across real-time payment channels.
• Design and manage fraud rules, decision logic, and detection strategies.
• Drive enhancements of fraud rules engines in partnership with engineering.
• Monitor and reduce false positives and client friction through tuning.
• Use analytics and model insights to identify trends and improve detection.
• Collaborate with Product, Engineering, Risk, and Operations to embed controls.
• Maintain disciplined control testing and adherence to risk standards.

Skills

Fraud risk management

Real-time decisioning

Cross-functional collaboration

Analytical reasoning

Education

Bachelor's degree in Statistics / Mathematics / Data Science / Finance / CS

Graduate degree preferred

Tools

Fraud rules engines

Python

R

SQL

Tableau / Power BI

Job description

Jobtailor is seeking a seasoned fraud risk professional to define and manage real-time fraud prevention strategies across payment channels. You will design rules, tune decision logic, and drive platform improvements in partnership with engineering.

The role requires strong analytics, cross-functional collaboration, and expertise in fraud models and ML concepts. Applicants should have 4+ years in fraud risk or financial crimes, with a Bachelor’s in a quantitative field.