Senior Fraud Risk Strategist

Early Warning®; Scottsdale (AZ); Hybrid; USD 84,000 - 126,000; Full time

Benefits offered by this job

Healthcare Coverage

401(k) Match

Paid Time Off

Parental Leave

Maven Family Planning

Job summary

Early Warning Services is seeking a seasoned Fraud Risk Analyst to analyze, deploy, and optimize risk models and decision rules across payment networks. You will partner with Product, Engineering, and Analytics to inform strategy and ensure effective fraud risk decisioning in diverse operating environments.

The role requires deep analytics, strong communication to technical and non-technical audiences, and a track record of turning insights into action. Hybrid work is available across major U.S.

Qualifications

• Bachelor’s degree or equivalent education/experience required.
• Minimum 5 years of fraud risk management experience.
• SQL/SAS/Python competencies or comparable data analytics skills.
• Proven track record of converting concepts to analysis to cases for change.
• Strong written, verbal, and presentation skills with the ability to communicate effectively to both technical and non-technical audiences.
• Experience with digital banking, payments and/or payment networks.
• Experience with financial institutions in the area of fraud risk management.
• Background and drug screen.

Responsibilities

• Assess, recommend and modify the application of scores and rules to deliver the optimal balance of risk, expense and experience for clients, consumers and partners in the network.
• Implement fraud detection and prevention strategies for the network.
• Create and apply data-driven insights for constant monitoring of effectiveness, efficiency and opportunities in the application of features, scores, rules and logic to continuously improve fraud risk strategy performance.
• Develop and deliver clear, concise communications and presentations to internal and external stakeholders regarding emerging risks, observed trends and related opportunities.
• Perform the analysis of fraud events to identify root causes and opportunities for mitigation.
• Monitor fraud trends, emerging threats, and attack patterns, and proactively recommend enhancements.
• Support the company’s commitment to protect the integrity and confidentiality of systems and data.

Skills

Fraud risk management

SQL

SAS

Python

Data analytics

Communication

Payments

Financial institutions

Education

Bachelor's degree or equivalent education/experience

Tools

SQL

SAS

Python

Job description

Early Warning Services is seeking a seasoned Fraud Risk Analyst to analyze, deploy, and optimize risk models and decision rules across payment networks. You will partner with Product, Engineering, and Analytics to inform strategy and ensure effective fraud risk decisioning in diverse operating environments.

The role requires deep analytics, strong communication to technical and non-technical audiences, and a track record of turning insights into action. Hybrid work is available across major U.S.