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Payments Risk Analyst Jobs in Wisconsin (NOW HIRING)

Risk & Insurance Specialist

Green Bay, WI · On-site

$95K/yr

Ensure that payments for insurance, settlements, or risk management services get paid timely and ... cause analysis of claims to support the team's responsibility to monitor trends and promote ...

Complete annual reviews, including financial analysis, collateral evaluation, payment history, risk rating, and industry/economic changes. * Support loan compliance by monitoring documentation ...

Complete annual reviews, including financial analysis, collateral evaluation, payment history, risk rating, and industry/economic changes. * Support loan compliance by monitoring documentation ...

Complete annual reviews, including financial analysis, collateral evaluation, payment history, risk rating, and industry/economic changes. * Support loan compliance by monitoring documentation ...

Senior Global Benefits Analyst

Milwaukee, WI · On-site

$70K - $93K/yr

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way ... This role also helps improve transparency, drive standardization, and strengthen risk management as ...

Senior Global Benefits Analyst

Milwaukee, WI · On-site

$70K - $93K/yr

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way ... This role also helps improve transparency, drive standardization, and strengthen risk management as ...

Promote, negotiate and sell automated/pre-payment options to customers. What you will bring: * High ... Related work experiences with risk analysis and receivable collection a plus. * Candidates without ...

Promote, negotiate and sell automated/pre-payment options to customers. What you will bring: * High ... Related work experiences with risk analysis and receivable collection a plus. * Candidates without ...

Promote, negotiate and sell automated/pre-payment options to customers. What you will bring: * High ... Related work experiences with risk analysis and receivable collection a plus. * Candidates without ...

Promote, negotiate and sell automated/pre-payment options to customers. What you will bring: * High ... Related work experiences with risk analysis and receivable collection a plus. * Candidates without ...

... payment and profitability. * Participate in rate-making, reserving, and risk evaluation functions. * Determine rates of mortality, sickness, retirement, etc., based on statistical data analysis.

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Payments Risk Analyst information

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

To thrive as a Payments Risk Analyst, you need strong analytical skills, knowledge of financial regulations, and experience in risk assessment, typically supported by a degree in finance, economics, or a related field. Familiarity with transaction monitoring systems, data analysis tools like SQL or Excel, and certifications such as CAMS or CFE are commonly required. Attention to detail, critical thinking, and effective communication are vital soft skills to excel in this role. These competencies are crucial for identifying and mitigating payment fraud, ensuring regulatory compliance, and maintaining the integrity of financial operations.

What are some common challenges faced by Payments Risk Analysts in monitoring and mitigating transaction fraud?

Payments Risk Analysts often encounter the challenge of quickly identifying and responding to evolving fraud patterns while maintaining a seamless customer experience. The role requires balancing proactive risk detection with minimizing false positives, which can inadvertently affect legitimate transactions. Analysts must collaborate closely with data scientists, compliance teams, and customer service to continuously refine fraud detection models and stay updated on emerging threats. Staying adaptable and leveraging advanced analytics tools are key to success in this fast-paced environment.

What are Payments Risk Analysts?

Payments Risk Analysts are professionals responsible for identifying, assessing, and mitigating risks associated with payment processing systems and transactions. They analyze transaction data to detect fraudulent activities, ensure compliance with regulations, and develop strategies to minimize financial losses for organizations. Their work often involves using advanced analytics and risk management tools to monitor trends, investigate suspicious activities, and recommend improvements to payment processes.
What are popular job titles related to Payments Risk Analyst jobs in Wisconsin? For Payments Risk Analyst jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Payments Risk Analyst jobs in Wisconsin look for? The top searched job categories for Payments Risk Analyst jobs in Wisconsin are:
What cities in Wisconsin are hiring for Payments Risk Analyst jobs? Cities in Wisconsin with the most Payments Risk Analyst job openings:

Merchant Services Data & Modeling Analyst

Bank of America

Hudson, WI

Full-time

Posted 3 days ago


Job description

Job Description:

This role sits within the Merchant Services Credit & Transactional Risk organization, on the Strategies, Models & Enablement team, and offers a unique opportunity to operate at the intersection of model risk governance, advanced analytics, and business strategy.

The successful candidate will play a critical, highly visible role partnering with Global Risk Analytics (GRA), strategic vendor and Model Risk Management stakeholders as a key liaison and subject matter expert, providing business context, data insight, and analytical support to ensure effective and practical model governance.

This role is ideal for a candidate who can work with a high degree of independence and thrives in ambiguous, evolving environments and enjoys influencing outcomes on both the technical and business fronts.

Primary Responsibilities

  • Serve as the primary liaison to Global Risk Analytics (GRA), translating Merchant Services business context, data nuances, and risk dynamics into actionable insights
  • Partner with GRA to ensure effective model oversight, including performance monitoring, lifecycle management, and adherence to policy and regulatory expectations
  • Proactively identify, assess, escalate, and help remediate model risks, ensuring alignment between governance standards and real-world business application
  • Influence and shape model governance practices within a frequently evolving oversight structure
  • Partner closely with a strategic vendor partner to deeply understand underlying data, performance dynamics and model or data changes; support and materials required to successfully obtain Model Risk Management (MRM) approval for next generation models
  • Provide strong analytical support to GRA, MRM and LOB partners, leveraging data to evaluate model behavior, identify emerging risk and support strategic decision-making
  • Develop and maintain custom reporting and monitoring frameworks to track model performance, input stability and outcomes
  • Drive and contribute to strategic enhancements, including model upgrades, version changes and evaluation of new tools and methodologies
  • Ensure models remain fit-for-purpose, well-documented and aligned to business objectives and governance standards

Required Qualifications

  • Bachelor's degree in mathematics, statistics, computer science, engineering, economics, finance, or a related quantitative discipline
  • 5+ years of relevant experience in quantitative analysis, risk management, or model lifecycle activities
  • Strong analytical skillset with demonstrated ability to translate complex data into business insights
  • Proficiency in data and analytical tools such as Python, SAS, SQL, Tableau (or similar)
  • Working knowledge of model risk management frameworks, including model development, validation, monitoring, and documentation
  • Understanding of credit and/or fraud risk strategies and underlying business drivers
  • Proven ability to operate effectively in cross-functional environments, influencing stakeholders across technical and non-technical teams
  • Excellent communication skills, including the ability to articulate complex concepts clearly and persuasively to senior audiences

Desired Skills

  • Experience in model risk management, model development, or model validation
  • Prior exposure to consumer or small business credit and/or fraud strategies
  • Experience supporting payments or merchant acquiring portfolios
  • Master's degree in a quantitative field (e.g., Statistics, Economics, Engineering)
  • Familiarity with scoring toolkits and model implementation frameworks

Shift:

1st shift (United States of America)

Hours Per Week: 

40