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Model Validation Manager Jobs in Minnesota (NOW HIRING)

Principal AI/ML Engineer

Virginia, MN · On-site

$170 - $240/hr

... management, workflow diagnostics * AI/ML Testing, Validation & Documentation - test plan execution, model inventories, model cards, explainability artifacts, drift/anomaly monitoring, AI governance ...

Data Modeller

Minneapolis, MN

$57.25 - $74/hr

... validating, publishing, maintaining PHYSICAL data models Evaluate existing data models and physical databases for variances and discrepancies Experience with managing meta data for data models To ...

... Management & Development team. The candidate will develop, validate, test, document, and implement ... Common deliverables include: Model development artifacts Model performance assessments ...

... validating, publishing, maintaining PHYSICAL data models Evaluate existing data models and physical databases for variances and discrepancies Experience with managing meta data for data models To ...

... validating, publishing, maintaining PHYSICAL data models Evaluate existing data models and physical databases for variances and discrepancies Experience with managing meta data for data models To ...

Showing results 21-40

Model Validation Manager information

See Minnesota salary details

$46.5K

$103.2K

$157.2K

How much do model validation manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for model validation manager in Minnesota is $103,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $129,300.00 per year, depending on experience, location, and employer.

What does a model validation manager do?

A Model Validation Manager is responsible for overseeing the validation of financial, risk, or predictive models within an organization. Their primary duties include ensuring that models are accurate, reliable, and compliant with regulatory requirements. They lead teams that assess model performance, identify potential weaknesses, and recommend improvements. This role helps maintain the integrity of models used in decision-making processes, particularly in industries like banking and finance.

What skills and qualifications are needed to be a model validation manager?

To thrive as a Model Validation Manager, you need strong quantitative analysis skills, knowledge of risk management, and an advanced degree in mathematics, statistics, finance, or a related field. Familiarity with technical tools such as Python, R, SAS, and model risk management frameworks, as well as experience with regulatory compliance, is typically required. Exceptional problem-solving, communication, and stakeholder management abilities are important soft skills for this role. These skills ensure effective validation of financial models, regulatory compliance, and clear communication of complex findings to non-technical audiences.

How does a model validation manager collaborate with other teams during the model validation process?

A Model Validation Manager works closely with model developers, risk management teams, and internal audit to ensure models meet regulatory and business standards. Collaboration often involves reviewing model documentation, discussing model assumptions and methodologies, and providing feedback for improvements. Effective cross-functional communication is essential, as validation managers must balance technical analysis with regulatory compliance and business objectives. Regular meetings and clear reporting lines help facilitate this collaboration, ensuring that model risks are identified and addressed promptly.

What is the difference between Model Validation Manager vs Quantitative Analyst?

AspectModel Validation ManagerQuantitative Analyst
CredentialsTypically requires advanced degrees in finance, mathematics, or statistics; certifications like CFA or FRM are commonOften holds degrees in finance, economics, or mathematics; certifications like CFA are also common
Work EnvironmentWorks in risk management, model validation teams within banks or financial institutionsWorks in trading, investment analysis, or risk departments within financial firms
Industry UsagePrimarily in banking, asset management, and financial services for model risk assessmentAcross investment firms, hedge funds, and banks for market analysis and trading strategies

The Model Validation Manager focuses on reviewing and validating financial models to ensure accuracy and compliance, often working within risk management teams. In contrast, a Quantitative Analyst develops and applies mathematical models for trading, investment, or risk purposes. While both roles require strong quantitative skills and similar credentials, their core responsibilities and work environments differ significantly.

What are the most commonly searched types of Model Validation jobs in Minnesota?

The most popular types of Model Validation jobs in Minnesota are:

What are popular job titles related to Model Validation Manager jobs in Minnesota?

For Model Validation Manager jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Model Validation Manager jobs in Minnesota look for?

The top searched job categories for Model Validation Manager jobs in Minnesota are:

Infographic showing various Model Validation Manager job openings in Minnesota as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $103,245 per year, or $49.6 per hour.

ADMS Manager, Network Model Engineering Team

Aspen Technology, Inc.

Medina, MN • On-site

$140 - $175/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


AspenTech rating

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

88th of 247 rated software companies


Job description

The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways — from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.

The Role

Join our dynamic team as an ADMS Network Model Engineering Tean Manager, where you will play a key role in delivering complex projects focused on DMS, OMS, DERMS, and other advanced power engineering applications. In this role, you will manage a team of model engineers responsible for delivering high‑quality ETL processes that translate customer data into formats required by Emerson software. Beyond overseeing project‑specific modeling activities, you will lead planning efforts for upcoming engagements, define and validate the effort required to deliver outcomes on a timely basis, and collaborate with cross‑functional teams to drive continuous improvements in model delivery processes. As a U.S. modeling team manager, you will be part of a global modeling organization, where you will have opportunities to support peers and collaborate on strategic initiatives that help redefine network model delivery practices.

Your Impact
  • Directly manage a group of model engineers, helping to maximize their performance and enable their professional growth.
  • Track modelers’ engagement, trim engagement inefficiencies rebalancing engagement across entire project portfolio.
  • Work with other engineering teams, ensuring cohesion across all active projects.
  • Engage with the development offering insight into improvements benefiting data model processes.
  • Develop standard processes, templates, checklists, and other documents to be used by all model engineers globally, ensuring consistent and repeatable model engineering practices.
  • Contribute to project work as necessary.
What You'll Need
  • Deep proficiency in OSI technology, especially around data model development with an excellent ability to support and coach less experienced engineers.
  • Strong leadership traits, bringing together individuals across multiple teams and fostering cooperation and kinship.
  • Strong drive to inject consistent processes, and a propensity towards creating and maintaining artifacts improving individual and team performance.
  • Detail-oriented and creative problem solver.
  • Comfortable navigating and prioritizing unexpected technical challenges.

This role reports to the Power System Engineering Director and offers a unique opportunity to collaborate across functional teams enabling you to grow and improve Data Model management processes.

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Salary and Benefits

The salary range for this role is $139,900.00 - $174,900.00. This range represents what we in good faith believe is the range possible for base compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range based on several factors. This range may be modified in the future. This role is also eligible for bonus or variable incentive pay.

  • Paid time off
  • Charitable giveback day
  • Medical/dental/vision insurance
  • Retirement benefits to eligible employees

AspenTech is a global software leader helping industries meet the increasing demand for resources from a rapidly growing population in a profitable and sustainable manner. Our Digital Grid Management software suite, including AspenTech OSI products, helps power and utilities companies achieve superior real‑time control, optimization and management for exceptional performance of complex energy networks. If you're looking to make a difference every day and push the limits of performance, AspenTech is doing things no one else thought was possible. As a leading industrial software partner, we help companies all over the world run safer, greener, longer and faster. With over 3700 employees and more than 60 global locations, AspenTech is meeting today's sustainability and business challenges head‑on with unmatched expertise, cutting‑edge AI‑powered technology and a passion to innovate.

AspenTech is an Equal Opportunity/Affirmative Action employer. AspenTech does not discriminate against employees or applicants on the basis of age, race, color, religion, creed, ancestry, sex, sexual orientation, gender identity or expression, pregnancy or related conditions, marital status, familial status, national origin, disability, medical condition, genetic information, citizenship, military service or protected Veteran Status or any other basis protected by applicable federal, state, or local law.

Reasonable Accommodation: We will provide reasonable accommodations to qualified individuals who have a disability or sincere religious reasons to request accommodation, when necessary to enable the individual to participate in the job application or interview process.

GDPR Privacy Notice: AspenTech collects a range of personal information during the recruitment process. This may include the following personal or special categories of personal data: recruitment information such as your application form and resume, references, qualifications and membership of any professional bodies and details of any pre‑employment assessments; your contact details and date of birth; your gender; your marital status and family details; your identification documents including passport and driver's license and information in relation to your immigration status and right to work with us; information about your contract of employment (or services) including start and end dates of employment, role and location, working hours, details of promotion, salary (including details of previous remuneration), pension, benefits, and holiday entitlement; your racial or ethnic origin; any criminal convictions and offences.

AspenTech Security and Privacy Policy Plan Participants Enrolled in the AspenTech US Medical Plans: The Transparency in Coverage Final Rules require certain group health plans to disclose on a public website information regarding in‑network provider rates and historical out‑of‑network allowed amounts and billed charges for covered items and services in two separate machine‑readable files (MRF’s). The MRF’s for the benefit package options under AspenTech’s US Employee Benefit Plan are linked below: Transparency in Coverage Rule - Machine Readable Files Transparency In Coverage Rule And Consolidated Appropriations Act Overview and FAQS

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