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Model Manager Jobs in Washington (NOW HIRING)

Sallie_mae

Senior Director, Model Risk

Sterling, VA · On-site

Collaborate with key stakeholders, including senior management, model owners, and regulators, to communicate model risk management activities and findings effectively. * Establish and enforce ...

ECS

AI Model Developer

Ashburn, VA · On-site

$125K - $150K/yr

Work closely with data scientists, developers, frontend developers, and product managers. * Document model architectures, APIs, and deployment processes. * Participate in code reviews and maintain ...

EagleBank

Verafin Model Administrator

Bethesda, MD · Hybrid

$80K - $129K/yr

Responsibilities The Verafin AML Model Administrator is responsible for managing, optimizing, and maintaining EagleBank's (the "Bank") Verafin transaction monitoring system to detect and prevent ...

EagleBank

Verafin Model Administrator

Bethesda, MD · On-site

$80K - $129K/yr

Responsibilities The Verafin AML Model Administrator is responsible for managing, optimizing, and maintaining EagleBank's (the "Bank") Verafin transaction monitoring system to detect and prevent ...

Intrepidgs

AI/ML Model Engineer

Mclean, VA · On-site

Test model performance and refine algorithms. * Monitor AI-driven systems in production ... As a world-class leader in providing seasoned program management, IAH leverages and integrates its ...

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$27.7K

$67.4K

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How much do model manager jobs pay per year?

As of Jul 15, 2026, the average yearly pay for model manager in Washington is $67,418.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $77,600.00 per year, depending on experience, location, and employer.

What is the role of a model manager?

A model manager oversees the careers of models, manages bookings, negotiates contracts, and coordinates with clients and agencies. They also handle scheduling, promote their models, and ensure professional development within the fashion or advertising industry.

What jobs in the US pay 300,000 a year?

Model Managers in the modeling industry can earn $300,000 or more annually, especially with extensive experience, high-profile clients, and management of top-tier talent. Other high-paying roles in the US that can reach this level include senior executives, specialized physicians, and certain technology or finance professionals, often requiring advanced skills, certifications, and significant responsibility.

What jobs will no longer exist in 2030?

Model Managers are unlikely to be eliminated by 2030, but roles involving manual or repetitive tasks may decline due to automation and AI advancements. Jobs that rely heavily on routine physical or administrative work are at higher risk of becoming obsolete as technology improves and AI tools become more capable of handling such tasks.

What is a Model Manager job?

A Model Manager is responsible for overseeing the development, deployment, and maintenance of machine learning models within an organization. They coordinate between data scientists, engineers, and business stakeholders to ensure models are accurate, efficient, and aligned with business goals. Their role includes managing model performance, monitoring for bias or drift, and optimizing workflows for scalability. They also ensure compliance with ethical AI practices and industry regulations.

What is the 3 month rule for jobs?

The 3 month rule for a Model Manager typically refers to a probation or trial period of three months, during which performance and fit are evaluated before offering a permanent position or contract extension. This period allows employers to assess skills, reliability, and professionalism in managing models and related tasks.

What are the key skills and qualifications needed to thrive in the Model Manager position, and why are they important?

Model Managers need a solid understanding of talent management, contract negotiation, branding, and the fashion or entertainment industry—often supported by a background in business, communications, or marketing. They should be proficient in using digital portfolio management platforms, scheduling tools, and industry-standard CRM (customer relationship management) systems. Exceptional interpersonal skills, strong organizational abilities, and the capacity to handle high-pressure situations set top professionals apart. These competencies are vital to successfully managing client relationships, securing opportunities, and advancing the careers of the models they represent.

What are the typical daily responsibilities of a Model Manager?

As a Model Manager, your daily responsibilities may include scouting new talent, organizing and facilitating photoshoots or auditions, negotiating contracts with agencies or clients, and overseeing the development of models' portfolios. You’ll often serve as the primary point of contact between models, clients, and agencies, making sure all parties are aligned on expectations and schedules. Additionally, administrative duties such as booking appointments, managing payments, and updating legal documentation are core aspects of the role. This position requires a balance of hands-on talent management and behind-the-scenes coordination to ensure your models' careers progress smoothly.

What are the most commonly searched types of Model jobs in Washington? The most popular types of Model jobs in Washington are:
What are popular job titles related to Model Manager jobs in Washington? For Model Manager jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Model Manager jobs in Washington look for? The top searched job categories for Model Manager jobs in Washington are:
What cities in Washington are hiring for Model Manager jobs? Cities in Washington with the most Model Manager job openings:
Model Manager jobs near you
Infographic showing various Model Manager job openings in Washington as of July 2026, with employment types broken down into 82% Full Time, 16% Part Time, 1% Temporary, and 1% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $67,418 per year, or $32.4 per hour.
Manager, Data Science - Model Risk Office

Manager, Data Science - Model Risk Office

Capital One

Mclean, VA • On-site

Full-time

Re-posted 25 days ago

Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

76th of 149 rated banks

Job description

Manager, Data Science - Model Risk Office
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Capital One is selectively recruiting for a Manager for a Model Validation team. The individual would report to the Model Risk Office and work closely with the business groups. This position is responsible for validating payment network business models, including fraud risk, Anti-Money Laundering (AML), Counterparty risk, and financial models. Strong communication skills are essential to effectively engage with a diverse group of stakeholders, irrespective of their technical background.
Role Description
In this role, you will:
  • Perform independent model validations for payment network models, including fraud, AML, counterparty and financial models in accordance with regulatory guidanceSR 11-7 and internal model risk policy and standards.
  • Validate fraud and AML modeling approaches, including:
    • Rule-based systems and thresholds
    • Statistical models
    • Machine learning models, (e.g., Gradient Boosting, Random Forecast)
  • Remain on the leading edge of analytical technology with a passion for the newest and most innovative tools
  • Understand relevant business processes and portfolios associated with model use
  • Understand technical issues in econometric, statistical, and machine learning modeling and apply these skills toward developing models and assessing model risks and opportunities
  • Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication; prepare presentations of complex technical concepts and research results to non-specialist audiences and senior management
  • Maintain the efficiency and accuracy of our models through continuous improvement and application of best practices
  • Develop and maintain high quality and transparent documentation
  • Leverage the latest open-source technologies and tools to identify areas of opportunity in our existing framework

The Ideal Candidate is:
  • Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers.
  • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.
  • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
  • Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
  • A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic Qualifications:
  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
  • At least 1 year of experience leveraging open source programming languages for large scale data analysis
  • At least 1 year of experience working with machine learning
  • At least 1 year of experience utilizing relational databases

Preferred Qualifications:
  • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
  • At least 1 year of experience working with AWS
  • At least 4 years' experience in Python, Scala, or R for large scale data analysis
  • At least 4 years' experience with machine learning

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $197,300 - $225,100 for Mgr, Data Science
Riverwoods, IL: $179,400 - $204,700 for Mgr, Data Science
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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