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Manager Risk Analytics Jobs in Wisconsin (NOW HIRING)

Risk Analyst

Oregon, WI · Remote

$40/hr

Join to apply for the Risk Analyst role at DataAnnotation We are looking for a Risk Analyst to join ... Financial Accounting, Investment Banking, Wealth Management, and Insurance Planning. Benefits This ...

In your role as a Security/Risk Analyst, you will architect, develop, implement and manage IS policy and procedures. As a Sr. Security/Risk Analyst you will engage your security/risk initiatives and ...

Analyze risk data to identify trends, root causes, and improvement opportunities ... Prepare and support risk reporting for management and governance committees Education & Experience ...

Make critical decisions using analytical skills, experience, and input from others Build and ... Lead and manage risk associated with insurance, safety, worker's compensation, contracts, open ...

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How much do manager risk analytics jobs pay per year?

As of May 28, 2026, the average yearly pay for manager risk analytics in Wisconsin is $112,599.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $130,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Risk Analytics, and why are they important?

To thrive as a Manager Risk Analytics, you need strong quantitative analysis skills, expertise in risk modeling, and a background in finance, statistics, or a related field—often supported by an advanced degree. Proficiency with statistical software (such as SAS, R, or Python), risk management systems, and relevant certifications like FRM or CFA is typically required. Exceptional leadership, communication, and problem-solving skills help you guide teams and translate complex data into actionable insights for stakeholders. These abilities are critical for accurately assessing risks, informing business decisions, and ensuring regulatory compliance.

How does a Manager of Risk Analytics typically collaborate with other departments within an organization?

A Manager of Risk Analytics works closely with teams across the organization, such as finance, compliance, operations, and IT, to identify and mitigate potential risks. This role involves communicating complex analytical findings in an understandable way to non-technical stakeholders and supporting informed decision-making. Regular collaboration ensures that risk models and strategies align with business objectives and regulatory requirements. Effective teamwork and cross-departmental communication are essential to implementing robust risk management solutions.

What does a Manager of Risk Analytics do?

A Manager of Risk Analytics leads a team responsible for analyzing data to identify, assess, and mitigate risks within an organization. They develop risk models, oversee the implementation of analytics tools, and provide insights that help guide business decisions. Their work helps organizations manage financial, operational, and strategic risks more effectively. Additionally, they often collaborate with other departments to ensure risk management strategies align with overall business goals.

Are risk managers in demand?

Risk managers are in high demand across various industries due to increasing regulatory requirements and the need to manage financial and operational risks. They often require strong analytical skills, knowledge of risk management tools, and relevant certifications such as FRM or CRM, making their expertise valuable in today's job market.

What is the difference between Manager Risk Analytics vs Risk Analyst?

AspectManager Risk AnalyticsRisk Analyst
CredentialsBachelor's or Master’s in Finance, Economics, or related field; professional certifications like FRM or CFABachelor's degree in Finance, Economics, or related field; some certifications preferred
Work EnvironmentLeads teams, manages risk projects, strategic planningAnalyzes data, prepares reports, supports risk management processes
Industry UsageUsed across banking, insurance, investment firmsCommon in financial services, corporate risk departments

The main difference is that a Manager Risk Analytics oversees risk teams and strategic initiatives, while a Risk Analyst focuses on data analysis and reporting. Both roles require similar credentials and are integral to risk management, but the manager has additional leadership responsibilities.

What are the most commonly searched types of Risk Analytics jobs in Wisconsin? The most popular types of Risk Analytics jobs in Wisconsin are:
What are popular job titles related to Manager Risk Analytics jobs in Wisconsin? For Manager Risk Analytics jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Manager Risk Analytics jobs in Wisconsin look for? The top searched job categories for Manager Risk Analytics jobs in Wisconsin are:
What cities in Wisconsin are hiring for Manager Risk Analytics jobs? Cities in Wisconsin with the most Manager Risk Analytics job openings:
Commercial Product Manager Lead for Risk Analytics and Data Quality

Commercial Product Manager Lead for Risk Analytics and Data Quality

Worldpay, Inc.

Milwaukee, WI • Hybrid

Full-time

Posted 11 days ago


Job description

Job Description

FIS is seeking a senior, hands-on leader to drive delivery across Risk Analytics and Data Quality initiatives. In this role, you will lead a hybrid team (domestic and offshore) and partner closely with stakeholders to plan, execute, and continuously improve analytics and data-quality solutions supporting risk and compliance priorities.

What you will do:

  • Lead day-to-day delivery for Risk Analytics and Data Quality workstreams, balancing people leadership with hands-on analytical execution.

  • Supervise, coach, and develop a team of domestic and offshore data professionals; coordinate workload, priorities, and delivery commitments.

  • Partner with stakeholder teams across Risk Analytics and Enterprise Data Management to scope work, set expectations, and deliver results.

  • Own project planning, execution, and reporting for assigned initiatives; manage resources and risks to meet timelines and quality expectations.

  • Establish and maintain standards for documentation, reproducibility, scalability, and model/data governance.

Risk Analytics responsibilities

  • Plan, develop, and deliver analytical models including classification and predictive models, scoring and rules-based models, and other advanced analytics techniques (machine learning and artificial intelligence).

  • Perform problem framing and analysis; lead data collection, integration, exploration, and preparation to support modeling objectives.

  • Guide model implementation in partnership with technology and business teams, ensuring solutions are production-ready and measurable.

  • Support analytics needs across Fraud Prevention, Anti-Money Laundering (AML), Compliance, Credit Risk, Market Risk, Operational Risk, and Finance.

  • Apply appropriate methodology across the model lifecycle, including tracking, documentation, reproducibility, scalability, monitoring, and actionable insights.

Data Quality responsibilities

  • Develop and oversee analytical controls and reporting to identify and track data-flow issues across systems and data sources.

  • Define and monitor critical data elements; detect unexpected values and potential quality defects.

  • Drive issue triage and resolution by partnering with stakeholders; track remediation through to closure.

Team & working style

  • You will lead a high-performing, globally distributed team supporting Risk Analytics and Data Quality initiatives. Success in this role requires strong collaboration across time zones and the ability to translate stakeholder needs into clear, executable plans.

Required Qualifications:

  • 10+ years of experience in banking and analytics, including senior-level stakeholder engagement and delivery ownership.

  • Graduate degree in Statistics, Data Science, Applied Economics, Machine Learning, or a related field (or equivalent experience).

  • Strong foundation in statistics, data science, and modern analytical techniques, including machine learning and AI concepts.

  • Proficiency with analytical programming and data tools such as Python, SAS, R, and SQL.

  • Experience leading teams and delivering work through clear planning, prioritization, and execution.

  • Excellent written and verbal communication skills, with the ability to explain complex analytical topics to technical and non-technical audiences.

  • Proficiency with Windows productivity tools (e.g., Microsoft Office).

Preferred Qualifications:

  • Working knowledge of Power BI.

  • Experience with Monday.com or a similar project management tool.


Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

EEOC Statement

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here


For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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