Fraud & AML Signals Quality Analyst

Stride Bank Na; Oklahoma City (OK); On-site; USD 90,000 - 120,000; Full time

Job summary

Stride Bank Na in Oklahoma City seeks a Financial Crimes Signal Analyst to evaluate alerting signals, data inputs, and risk indicators across fraud and BSA/AML detection systems. You will ingest and cleanse data, support dashboards and model health, and help refine detection coverage through collaboration with Compliance and Risk teams.

Requirements include a bachelor’s degree and 3–5 years of fraud/AML analytics; CAMS/CAFP preferred.

Qualifications

• Bachelor’s degree in analytics, information systems, finance, criminal justice, or related field required.
• 3–5 years in fraud/AML analytics or risk signal validation required.
• Experience in BSA/AML compliance, fraud, or case investigations preferred.
• Experience with governance-grade validation and audit documentation preferred.
• Proficiency with SQL and PowerBI.

Responsibilities

• Researches and validates risk signals used in transaction monitoring, fraud scoring, and alerting.
• Ingests, cleanses, transforms, and validates data from diverse sources.
• Supports end-to-end alerting quality and reporting for financial crimes programs.
• Contributes to KRIs and KPIs such as detection efficiency and false-positive ratios.
• Translates complex analytical concepts into accessible insights for varied audiences.

Skills

Analytics

Data quality

Risk signals

Communication

Documentation

Education

Bachelor’s degree in Analytics, Information Systems, Finance, Criminal Justice, or related field

CAMS certification

CAFP certification

Tools

SQL

PowerBI

Job description

Stride Bank Na in Oklahoma City seeks a Financial Crimes Signal Analyst to evaluate alerting signals, data inputs, and risk indicators across fraud and BSA/AML detection systems. You will ingest and cleanse data, support dashboards and model health, and help refine detection coverage through collaboration with Compliance and Risk teams.

Requirements include a bachelor’s degree and 3–5 years of fraud/AML analytics; CAMS/CAFP preferred.