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Model Manager Jobs in Reston, VA (NOW HIRING)

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 ...

Model Operations Engineer

Ashburn, VA · Hybrid

$107K - $179K/yr

MANTECH seeks a motivated, career and customer-oriented Senior Model Ops Engineer . This is ... workers, management, and customers, which may involve delivering presentations. The projected ...

Model Operations Engineer

Ashburn, VA · On-site

$71K - $96K/yr

MANTECH seeks a motivated, career and customer-oriented Senior Model Ops Engineer . This is ... workers, management, and customers, which may involve delivering presentations. The projected ...

Showing results 21-40

Model Manager information

See Reston, VA salary details

$25.5K

$61.9K

$120.7K

How much do model manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for model manager in Reston, VA is $61,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,700.00 and $71,300.00 per year, depending on experience, location, and employer.

What is a model manager?

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 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 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.

How do you become a model manager?

To become a model manager, individuals typically gain experience in the fashion or entertainment industry, develop strong networking and communication skills, and often start in related roles such as agent or assistant. Many pursue courses or certifications in talent management or business administration to enhance their knowledge and credibility.

What are the most commonly searched types of Model jobs in Reston, VA?

The most popular types of Model jobs in Reston, VA are:

What job categories do people searching Model Manager jobs in Reston, VA look for?

The top searched job categories for Model Manager jobs in Reston, VA are:

What cities near Reston, VA are hiring for Model Manager jobs?

Cities near Reston, VA with the most Model Manager job openings:

Infographic showing various Model Manager job openings in Reston, VA as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $61,927 per year, or $29.8 per hour.

Senior Manager, Quantitative Analysis - Model Risk Office

Capital One National Association

Mclean, VA • On-site

$229.90 - $262.40/hr

Other

Posted yesterday

New


Job description

Senior Manager, Quantitative Analysis - Model Risk Office

At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by personally tailoring every credit card offer using statistical modeling and relational database, cutting edge technology in 1988! Fast-forward a few years, and this 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 Quantitative Senior Manager 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 cloud 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 avoid frustration in their financial lives.

As part of the Model Risk function, you will partner with high‑performing model development teams and model risk teams responsible for advancing Capital One’s Loan Loss Forecasting and Allowance for Credit Losses (ACL) framework.

Responsibilities
  • Remain on the leading edge of analytical technology with a passion for the newest and most innovative tools.
  • Develop alternative model approaches to assess model design and advance future capabilities.
  • 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.
Expertise

Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation.

Qualifications
  • Demonstrated track‑record in modeling and experience utilizing model estimation tools such as Python or R.
  • Ability to clearly communicate modeling results to management, model risk office, regulator and other modelers.
  • Drive to continuously improve all aspects of work in a collaborative fashion.
  • Experience in machine learning.
  • Strong communication skills with the ability to quickly understand existing models and new requirements/business needs.
  • Experience working with Agile development methodologies.
  • Strong grasp of econometric theory and methodologies.
  • Desire to remain on the leading edge of analytical technology with a passion for the newest and most innovative tools.
Basic Qualifications
  • Currently has, or is in the process of obtaining one of the following with an exception that the required degree will be obtained on or before the scheduled start date:
    • 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 5 years of experience in quantitative analytics
    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience in quantitative analytics
  • At least 5 years of experience in each of the following skills through education or experience:
    • Statistical or econometric modeling
    • Linear and logistic regression
    • Programming in R, Python, or SQL
    • Presenting statistical concepts and research results to non‑statistical audience
  • At least 5 years of experience in at least 3 of the following skills:
    • Survival analysis modeling
    • Time‑series analysis
    • Panel data (longitudinal data or cross‑sectional time‑series data) analysis
    • Cross‑sectional data analysis
    • Machine learningAnalysis and management of large datasets (>1M records)
Preferred Qualifications
  • 6 years of experience with Python, R or other statistical analyst software
  • 6 years of experience in statistical modeling or regression analytics or machine learning
  • 2 years of experience managing people

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: $229,900 - $262,400 for Sr Mgr, Quantitative Analysis

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 discriminatory 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.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws.

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