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Model Risk Management Jobs in Wisconsin (NOW HIRING)

WI · On-site

Asset Management (AM), Commercial & Investment Bank (CIB) and Consumer & Community Banking (CCB ... You will be part of a team responsible for overseeing the operating model that supports data ...

WI · On-site

At KPMG's Digital Risk Management (DRM) services we are looking for individuals who are interested ... Assess and develop governance, risk and control models that can help the client become compliant ...

Develop detailed cash flow models for a variety of loan types and structures. Summarize complex ... Manage multiple projects simultaneously and prioritize workload effectively. * Coordinate credit ...

WI · On-site

$61 - $80.50/hr

Knowledge of model risk management and AI assurance requirements in banks/insurers. * Experience architecting multi‑channel AI assistants in regulated FS. * Deep knowledge of scalable realtime ...

WI · On-site

Reduced endpoint risk and improved patch compliance. * Successful transition toward an Intune‑first endpoint management model. * Faster, more reliable device deployment and refresh cycles.

WI · On-site

The Program Manager will help ensure that the model minimizes redundant outreach and strengthens ... risk Veterans. * Develop implementation plans, standard operating procedures, workflow ...

WI · On-site

... risk management, regulatory compliance, and client experience. Team The team supports the ... Fidelity's Onsite Working Model Fidelity is transitioning to a full‑time onsite working model ...

What You'll Do You'll create credit risk models, research collection techniques and effectiveness ... Ideally you will have a Bachelors' degree in Mathematics, Statistics, Marketing, Management ...

WI · On-site

You build systems that create predictability, surface risk early, and protect delivery integrity ... Deep SDLC fluency, including integration complexity, release management, dependency modeling, and ...

WI · On-site

Significant experience leading enterprise-scale AI governance, responsible AI, model risk management, data governance, technology risk, or digital transformation programs.* Demonstrated experience ...

WI · On-site

$124K - $170K/yr

Leading cybersecurity assurance activities throughout the product life cycle, including creating cybersecurity risk management plans, threat modeling, performing vulnerability assessments, defining ...

Showing results 41-60

Model Risk Management information

See Wisconsin salary details

$36.8K

$83.1K

$139.3K

How much do model risk management jobs pay per year?

As of Sep 10, 2026, the average yearly pay for model risk management in Wisconsin is $83,100.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $91,300.00 per year, depending on experience, location, and employer.

What is a model risk management?

A Model Risk Management (MRM) job involves identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. Professionals in this role ensure models are accurate, reliable, and comply with regulatory requirements by conducting validation, testing, and performance monitoring. They work closely with model developers, risk teams, and auditors to manage model lifecycle processes. Strong quantitative, analytical, and regulatory knowledge are key skills for success in this field.

What are some common challenges faced by professionals in model risk management roles?

Professionals in Model Risk Management commonly encounter challenges such as evolving regulatory requirements, the complexity of advanced financial models, and ensuring effective communication between technical and non-technical stakeholders. Staying current with industry best practices while rigorously validating and documenting models can be demanding but is critical for reducing financial and operational risks. Team members often work cross-functionally, collaborating closely with quants, risk managers, and IT teams to evaluate model performance and implement improvements. Adapting to new analytical tools and maintaining a proactive approach to emerging risks will help you succeed and grow in this dynamic field.

What are the key skills and qualifications needed to thrive in model risk management, and why are they important?

To excel in Model Risk Management, a professional needs a strong grounding in quantitative finance, statistics, and risk assessment, often backed by advanced degrees in relevant fields. Familiarity with technical tools such as Python, R, SAS, and model validation platforms, along with relevant certifications like FRM or CFA, is highly beneficial. Exceptional communication skills, attention to detail, and critical thinking help individuals stand out when interacting with model developers and risk committees. Mastery of these abilities ensures thorough risk analysis, regulatory compliance, and effective mitigation of financial model risks within the organization.

What does a model risk management do?

A model risk management professional oversees the identification, assessment, and mitigation of risks associated with financial and operational models. They ensure models are accurate, reliable, and compliant with regulations, often using validation tools and statistical analysis. This role helps prevent financial loss and supports decision-making processes within organizations.

What are the most commonly searched types of Model Risk Management jobs in Wisconsin?

The most popular types of Model Risk Management jobs in Wisconsin are:

What are popular job titles related to Model Risk Management jobs in Wisconsin?

For Model Risk Management jobs in Wisconsin, the most frequently searched job titles are:

Infographic showing various Model Risk Management job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $83,100 per year, or $40 per hour.

Risk Reporting - Vice President

WI • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees

Other

Posted 15 days ago


Key responsibilities

  • Oversee and attest to the quality of liquidity risk data daily across all legal entities, establishing enterprise data quality standards, materiality thresholds, and escalation protocols.

  • Direct the industrialization of product reconciliations and daily balance sheet variance analysis, moving from manual reviews to automated, scalable pipelines with lineage and control checkpoints.

  • Prepare, analyze, and provide commentary for internal and external reports to stakeholders.


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 176 rated banks


Job description

Join Treasury and Chief Investment Office (TCIO) at JPMorgan and take part in firm-wide asset and liability management for one of the world’s largest global financial institutions, managing a $4.5 trillion balance sheet, which includes over $1.4 trillion in loans and $2.5 trillion in deposits. Positioned at the center of the firm, TCIO directly influences the composition of the firm’s balance sheet and the activities of its main LOBs: Asset Management (AM), Commercial & Investment Bank (CIB) and Consumer & Community Banking (CCB).

As a Liquidity Risk Reporting Vice President in the Corporate Treasury Middle Office (CTMO), part of the TCIO organization, you will support the Firm’s daily external liquidity reporting. You will be part of a team responsible for overseeing the operating model that supports data aggregation used in the firm’s risk reporting process (e.g., balance sheet details, forecasts, and assumptions). This includes executing key data integrity controls, reconciliations, adjustments, and analytics. You will also coordinate the production of several firm-wide, LOB, and legal entity-level risk reports (e.g., FR2052a, LCR, NSFR, Stress) by agreed deadlines. This involves collaborating with global contacts to quickly research and explain variances in key risk measures and facilitating sign-off by senior risk stakeholders before report distribution internally and to regulators.

Job Responsibilities:
  • Oversee and attest to the quality of liquidity risk data daily across all legal entities, establishing enterprise data quality standards, materiality thresholds, and escalation protocols; ensure evidence retention and audit readiness.

  • Direct the industrialization of product reconciliations and daily balance sheet variance analysis, moving from manual reviews to automated, scalable pipelines with lineage and control checkpoints.

  • Prepare, analyze, and provide commentary for internal and external reports to stakeholders.

  • Conduct data analysis to identify and implement business validation rules to support the transition to an exception-based operating model.

  • Set the modernization roadmap and standards for the analytics/tooling stack (Tableau, Excel, Python), driving consolidation, scalability, and resiliency across solutions.

  • Determine business drivers behind variances and communicate impacts to partner groups such as Liquidity Risk Management and Liquidity Management.

  • Partner with internal data source providers and risk stakeholders across all lines of business to complete data investigations and resolve data quality issues, aiming to improve the timeliness and accuracy of all risk reporting continuously.
  • Respond to internal or regulatory requests to complete ad hoc data analysis or produce custom reports as needed.
  • Support LRI tech/business enhancements and assist in technology-related developments, ensuring appropriate prioritization and end-user testing.

  • Continually identify and enhance the overall control environment and operating model across core operational activities, improving timeliness and reducing operational risk to the firm.

Required Qualifications, Skills, and Capabilities:
  • 8+ years of experience in treasury, financial reporting or risk/data operations, balance sheet analysis, and/or asset and liability or liquidity management.

  • Expert analytical and diagnostic skills, with a track record of structuring ambiguous problems and driving data-driven decisions for senior stakeholders.

  • Proven leadership experience, including the ability to facilitate project and process improvements across a large organization.

  • Strong technical leadership with hands-on depth in SQL and Python; advanced Excel skills and proficiency with Tableau and Alteryx.

  • Demonstrated ability to lead teams through high-stakes deadlines and regulatory commitments; establishes execution discipline, risk-aware prioritization, and clear accountability.

  • Operates with ownership and urgency; sets operating mechanisms, cadences, and standards that scale across teams with minimal oversight.

  • Executive communication excellence; crafts concise narratives, risk positions, and options; influences senior forums and regulatory interactions.

  • People leadership of analysts and associates, including hiring, staffing, performance management, coaching, and succession planning.

  • Ownership of governance forums for data quality and operational risk; accountable for control health metrics, remediation plans, and audit readiness.

  • Own end-to-end lifecycle of AI-enabled solutions for liquidity data quality, reconciliations, and variance analysis with human review, monitoring, and governance.

Preferred Qualifications, Skills, and Capabilities:
  • Experience with SQL, Python, or data visualization tools such as Tableau is a plus.

  • Bachelor's degree required; advanced degree in Finance, Data Science, Computer Science, or related field preferred.

  • Relevant certifications in cloud, data engineering, or ML/AI are advantageous.

To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).

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