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Financial Crimes Model Risk Manager

ASSOCIATED BANK NA

MILWAUKEE, WIJobSeen todaySeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
MILWAUKEE, WI
Work Authorization
Not specified

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Job overview

Associated Bank seeks an experienced Financial Crimes Model Risk Manager focused on emerging threats. The role strengthens fraud prevention by identifying emerging threats, enhancing detection strategies, and optimizing controls. It involves analyzing fraud trends and behavioral patterns, designing and improving detection rules, collaborating across teams, evaluating performance, and supporting governance and regulatory compliance.

Skills & qualifications

RequiredNice to have

Skills

Fraud Detection SystemsRules EnginesRisk-Based DecisioningMachine Learning ModelsOnline Fraud TypologiesAccount Takeover SchemesCredential-Based Attacks

Qualifications

Bachelor's in Computer Science, Information Security, Data Analytics, Finance or Related Field or Equivalent7+ Years Fraud Detection or Related Experience

Full job description

JOB REQUIREMENTS: At Associated Bank we strive to create an inclusive culture where different perspectives are valued and recognized as strengths critical to our success. If you thrive in an environment where your growth and development are encouraged and supported, then Associated Bank may be the right place for you. Associated Bank requires you to directly represent yourself and your own experiences during the recruiting and hiring process. Associated Bank conducts a thorough background check on all new hires. Role Summary Associated Bank is seeking an experienced Financial Crimes Model Risk Manager-Emerging Threats to strengthen and advance our fraud prevention capabilities. In this role, you will identify emerging fraud threats, enhance detection strategies, and optimize controls that protect our customers and the bank. This is an opportunity to influence fraud prevention efforts, collaborate across teams, and drive measurable improvements in fraud detection performance. Key Accountabilities Monitor emerging fraud threats, technologies, and regulatory changes to maintain effective detection strategies. Analyze fraud trends, digital activity, and behavioral patterns to identify risks and control gaps. Design, test, deploy, and optimize fraud detection rules and decisioning strategies across platforms. Partner with Cybersecurity, Technology, and Fraud Operations teams to enhance detection capabilities and data quality. Evaluate detection performance metrics and provide actionable insights to improve effectiveness and customer experience. Drive continuous improvements that increase fraud capture rates and reduce false positives and 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. Education & Experience Required Bachelor's degree in Computer Science, Information Security, Data Analytics, Finance, or a related field, or an equivalent combination of education and experience. 7+ years of experience in fraud detection, financial crimes, cybersecurity analytics, or a related field. Experience with fraud detection systems, rules engines, risk-based decisioning platforms, and machine learning-based models. Strong understanding of online fraud typologies, account takeover schemes, and credential-based attacks. Experience... For full info follow application link. The employment policy of Associated Banc-Corp, and its subsidiaries and affiliates ("Associated") provides equal opportunity to all persons. We support a diverse and inclusive work environment where colleagues are respected, treated fairly, and given equal opportunities to perform to their fullest potential. We believe it is only with a diverse and inclusive workplace that the organization can truly perform at its best, carry out its vision, and make a difference for the communities we serve. ***** APPLICATION INSTRUCTIONS: Apply Online: ipc.us/t/8CD91709A7FD469F

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