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Model Risk Management Jobs in Wisconsin (NOW HIRING)

CSAA

Collaborate with cross-functional partners (Technology, Data, Underwriting, Delivery, State Management, Distribution, Implementation, Legal, Compliance, Privacy, and Model Risk Management) to ensure ...

CSAA

Collaborate with cross-functional partners (Technology, Data, Underwriting, Delivery, State Management, Distribution, Implementation, Legal, Compliance, Privacy, and Model Risk Management) to ensure ...

CSAA

Collaborate with cross-functional partners (Technology, Data, Underwriting, Delivery, State Management, Distribution, Implementation, Legal, Compliance, Privacy, and Model Risk Management) to ensure ...

CSAA

Collaborate with cross-functional partners (Technology, Data, Underwriting, Delivery, State Management, Distribution, Implementation, Legal, Compliance, Privacy, and Model Risk Management) to ensure ...

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All JobsModel Risk Management JobsModel Risk Management Jobs in Wisconsin

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 Jun 20, 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 are the key skills and qualifications needed to thrive in the Model Risk Management position, 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 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 is a Model Risk Management job?

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 is the salary of model risk validation?

Model risk validation professionals typically earn between $80,000 and $150,000 annually, depending on experience, location, and the size of the organization. Senior roles or those with specialized skills in statistical modeling and regulatory knowledge can earn higher salaries, often exceeding $180,000. Certifications such as FRM or CFA can also influence compensation in this field.

Is model risk management a good career?

Model risk management is a specialized field focused on identifying and mitigating risks associated with financial and statistical models. It offers opportunities for growth, requires strong analytical skills, and often involves certifications like FRM or CFA. The role is in demand within financial institutions, regulatory agencies, and consulting firms, making it a stable career choice for those interested in risk analysis and quantitative methods.

What do model risk managers do?

Model risk managers are responsible for identifying, assessing, and mitigating risks associated with financial and operational models used within an organization. They review model assumptions, validate model performance, and ensure compliance with regulatory standards, often using specialized tools and techniques. Their work helps prevent model errors from leading to financial loss or regulatory issues.

What is the highest paying risk management job?

In risk management, senior roles such as Chief Risk Officer (CRO) or Director of Risk typically have the highest salaries, often exceeding six figures annually. These positions require extensive experience, advanced certifications like FRM or CFA, and strong leadership skills, especially in financial institutions or large corporations.
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:
What job categories do people searching Model Risk Management jobs in Wisconsin look for? The top searched job categories for Model Risk Management jobs in Wisconsin are:
Model Risk Management jobs near you
Infographic showing various Model Risk Management job openings in Wisconsin as of June 2026, with employment types broken down into 82% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $83,100 per year, or $40 per hour.
AML Compliance Model Developer - Associate

AML Compliance Model Developer - Associate

Santander

Madison, WI

Full-time

Posted 18 days ago

Job description

AML Compliance Model Developer - AssociateCountry: United States of America

It Starts Here:

Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference.

If you are interested in exploring the possibilities We Want to Talk to You!

The Difference You Make:

  • Develop, enhance, and maintain AML compliance models and transaction monitoring scenarios across AML compliance systems including advanced machine learning and AI models.

  • Apply data science, statistical modeling, natural language processing, and machine learning techniques to large structured and unstructured financial datasets to support AML model development, feature engineering, model validation, performance monitoring, and explainability.

  • Support AML compliance initiatives through model development, tuning, threshold optimization, and alert reduction strategies.

  • Perform advanced data analysis using SAS, SQL, and Python to identify trends, anomalies, suspicious patterns, and data quality issues across large financial datasets.

  • Design and execute complex SQL queries, stored procedures, data extraction, and reconciliation activities to support AML investigations and model testing.

  • Develop Python-based automation scripts and analytical solutions to improve operational efficiency and testing effectiveness.

  • Execute model testing activities including SIT, UAT, regression testing, defect validation, and production verification.

  • Collaborate with Compliance, Technology, Model Risk, and Business teams to gather requirements and implement AML monitoring solutions.

  • Analyze model assumptions, data integrity, and transaction monitoring effectiveness to ensure compliance with regulatory expectations.

  • Create and maintain technical documentation, testing evidence, Jira stories, defect logs, and implementation artifacts.

  • Work within Agile delivery methodologies and actively track development/testing activities through Jira.

  • Support production releases, issue resolution, and ongoing model performance monitoring.

  • Ensure adherence to enterprise governance standards, SDLC processes, and AML compliance policies.

  • Adopt the latest AI-based technologies to improve efficiency.

What You Bring:

  • Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field.

  • 3-5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services.

  • Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing.

  • Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing.

  • Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets.

  • Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management.

  • Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT.

  • Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts.

  • Strong analytical, quantitative, and problem-solving skills.

  • Ability to multitask, manage priorities, and work effectively in fast-paced environments.

  • Strong communication, documentation, and stakeholder management skills.

It Would Be Nice For You To Have:

  • Experience working with AML transaction monitoring systems, alert analysis, and compliance technology platforms.

  • Experience in developing AI Agents. Good understanding of RAG and MCP's.

  • Experience with Oracle, relational databases, or ETL processes.

  • Exposure to EDD Verifier, ECS, and Temenos (T24) platforms.

  • Exposure to model validation, model governance, or threshold optimization initiatives.

  • Experience working with large-scale financial or transactional datasets.

  • Knowledge of version control tools such as Git.

  • Experience in cloud or distributed data environments is a plus.

  • Advanced Microsoft Office skills including Excel and PowerPoint.

Work Authorization & Sponsorship

  • Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment.

What Else You Need To Know:

The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location.

Base Pay Range:

Minimum:

$90,000.00 USD

Maximum:

$170,000.00 USD

We Value Your Impact:

Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide (foleon.com)

Risk Culture:

We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management.

EEO Statement:

At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law.
Working Conditions:

Frequent minimal physical effort such as sitting, standingand walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required.

Employer Rights:

This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason.

What To Do Next:

If this sounds like a role you are interested in, then please apply.

We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at TAOps@santander.us to discuss your needs.

Apply