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Model Validation Manager Jobs in Michigan (NOW HIRING)

Geologics

Data Modeler

Sterling Heights, MI · Hybrid

$52 - $62/hr

Bachelors in Data Management, Data Science, Math, Statistics Rate: $52 to $62 per hour (W2 contract ... Ensuring the accuracy, consistency, and reliability of data, implementing data validation and ...

Slate Auto

Sr. BMS Design Release Engineer

Troy, MI · On-site

Strong experience with model-based development (Simulink/MATLAB), HIL/MIL validation, and in ... Define, manage, and align BMS functional and system requirements to meet vehicle propulsion, range ...

Recar

Sr. BMS Design Release Engineer

Troy, MI

Strong experience with model-based development (Simulink/MATLAB), HIL/MIL validation, and in ... Define, manage, and align BMS functional and system requirements to meet vehicle propulsion, range ...

Kent Companies

BIM Manager

Grand Rapids, MI

The BIM Manager collaborates with project management, estimating, operations, BIM consultants, and ... and project teams with model-based quantities, takeoffs, and reports; help validate scope ...

Kent Companies

BIM Manager

Grand Rapids, MI · On-site

The BIM Manager collaborates with project management, estimating, operations, BIM consultants, and ... and project teams with model-based quantities, takeoffs, and reports; help validate scope ...

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Showing results 1-20

All JobsModel Validation Manager JobsModel Validation Manager Jobs in Michigan

Model Validation Manager information

See Michigan salary details

$41.4K

$91.9K

$139.9K

How much do model validation manager jobs pay per year?

As of Jun 22, 2026, the average yearly pay for model validation manager in Michigan is $91,879.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $115,000.00 per year, depending on experience, location, and employer.

How does a Model Validation Manager typically 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 key skills and qualifications needed to thrive as a Model Validation Manager, and why are they important?

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.

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 are the most commonly searched types of Model Validation jobs in Michigan? The most popular types of Model Validation jobs in Michigan are:
What are popular job titles related to Model Validation Manager jobs in Michigan? For Model Validation Manager jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Model Validation Manager jobs in Michigan look for? The top searched job categories for Model Validation Manager jobs in Michigan are:
What cities in Michigan are hiring for Model Validation Manager jobs? Cities in Michigan with the most Model Validation Manager job openings:
Model Validation Manager jobs near you
Infographic showing various Model Validation Manager job openings in Michigan as of June 2026, with employment types broken down into 2% As Needed, 33% Full Time, 58% Part Time, 1% Temporary, and 6% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $91,879 per year, or $44.2 per hour.
Data Science and Machine Learning Specialist

Data Science and Machine Learning Specialist

FastTek

Dearborn, MI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

Data Science and Machine Learning Specialist #1050763
Job Description:
  • The Global Data, Insight & Analytics (GDIA) organization at Company is seeking a Data Scientist to develop advanced analytics products that drive vehicle content strategy decisions.
  • This role sits within the Marketing Analytics team and focuses on applying machine learning, artificial intelligence, statistical modeling, and mathematical optimization to high-impact business problems.
  • The Data Scientist will design, develop, and deploy analytical solutions that support strategic decision-making across North American vehicle programs.
  • This role requires strong quantitative expertise, advanced Python skills, and experience working in cloud-based data environments, particularly Google Cloud Platform (GCP).

Key Responsibilities:
  • Develop and implement machine learning, statistical, and optimization models to support vehicle content strategy.
  • Write high-quality, production-ready Python code for modeling, experimentation, and data analysis.
  • Query, manage, and analyze large-scale datasets using GCP tools such as BigQuery.
  • Partner with Software Engineers to deploy analytics models into production environments aligned with enterprise data architecture and MLOps standards.
  • Conduct model validation, performance monitoring, and sensitivity analysis to ensure reliability and business relevance.
  • Translate complex analytical outputs into clear, actionable insights for Marketing and product stakeholders.
  • Research and apply emerging AI, econometrics, and optimization methodologies to enhance decision systems.

Skills Required:
Machine Learning, Data Science.
  • 2+ years of experience in advanced analytics, including machine learning, mathematical optimization, statistical modeling, econometrics, or AI.
  • 1+ year of experience working with large datasets in cloud-based environments (e.g., GCP).
  • Strong proficiency in Python for analytical workflows

Skills Preferred:
  • This role contributes to high-impact analytical engines that influence product and marketing strategy decisions across North American vehicle programs.
  • The position requires a balance of quantitative rigor, practical implementation, and forward-looking application of artificial intelligence.

Experience Required:
  • Specialist Exp: 5+ experience in relevant field

Experience Preferred:
  • PhD in a quantitative discipline.
  • Experience deploying machine learning or advanced analytics models into production systems.
  • Familiarity with AI-assisted analytics approaches (e.g., scenario exploration, search space optimization).
  • Experience in Agile or product-driven environments.
  • Hands-on experience with Google Cloud Platform.
  • Strong interpersonal and communication skills with the ability to simplify complex topics for leadership audiences.

Education Required:
  • Master's Degree

Education Preferred:
  • Master's degree or higher in Data Science, Statistics, Economics, Engineering, Mathematics, Operations Research, or a related quantitative field

Additional Info:
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.