Emerging Threats Fraud Model Risk Lead

Associated Bank; Minneapolis (MN); On-site; USD 122,000 - 210,000; Full time

Benefits offered by this job

401(k) and Pension

Volunteer time off

Employee stock purchase plan

Parental leave

Military benefits

Diversity-focused groups

Job summary

Associated Bank is seeking an experienced Financial Crimes Model Risk Manager‑Emerging Threats to strengthen and advance our fraud prevention capabilities. You will identify emerging fraud threats, enhance detection strategies, and optimize controls that protect customers and the bank.

This role offers impact across teams, opportunities to influence fraud prevention efforts, and measurable improvements in detection performance through collaboration with Cybersecurity, Technology, and Fraud

Qualifications

• Bachelor’s degree in Computer Science, Information Security, Data Analytics, Finance, or related field.
• 7+ years of experience in fraud detection, financial crimes, cybersecurity analytics, or related field.
• Experience with fraud detection systems, rules engines, risk-based decisioning platforms, and ML-based models.
• Strong understanding of online fraud typologies, account takeover, and credential-based attacks.
• Experience analyzing large datasets and translating findings into actionable fraud prevention strategies.

Responsibilities

• Monitor emerging fraud threats and regulatory changes to maintain effective detection strategies.
• Analyze fraud trends, digital activity, and behavioral patterns to identify risks.
• Design, test, deploy, and optimize fraud detection rules and decisioning across platforms.
• Partner with Cybersecurity, Technology, and Fraud Operations to enhance detection capabilities and data quality.
• Evaluate detection performance metrics and provide actionable insights to improve effectiveness.
• Drive continuous improvements to increase fraud capture rates and reduce false positives/false negatives.
• Maintain governance documentation, audit-ready records, and change management processes.
• Support regulatory examinations and ensure compliance with applicable banking and fraud prevention standards.

Skills

Fraud detection

Cybersecurity analytics

Data analysis

Machine learning

Regulatory knowledge

Education

Bachelor’s degree in Computer Science, Information Security, Data Analytics, Finance

Tools

Fraud detection systems

Rules engines

Risk-based decisioning platforms

Machine learning models

Job description

Associated Bank is seeking an experienced Financial Crimes Model Risk Manager‑Emerging Threats to strengthen and advance our fraud prevention capabilities. You will identify emerging fraud threats, enhance detection strategies, and optimize controls that protect customers and the bank.

This role offers impact across teams, opportunities to influence fraud prevention efforts, and measurable improvements in detection performance through collaboration with Cybersecurity, Technology, and Fraud