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Residual Jobs (NOW HIRING)

The Senior Residual Value Economist will be responsible for developing and managing forecasts for residual values and setting the strategy for optimizing, protecting, and enhancing the residual ...

Own residual value forecasts across new and used vehicles * Define and evolve modeling approaches including mileage, trims, volatility, segmentation, and model-year transitions * Ensure outputs are ...

Own residual value forecasts across new and used vehicles * Define and evolve modeling approaches including mileage, trims, volatility, segmentation, and model-year transitions * Ensure outputs are ...

Experience * 15+ years in auto finance, residual modeling, forecasting, and/or related analytics domains * Bachelors degree in Data Science or related field such as Mathematics, Statistics or ...

Experience * 15+ years in auto finance, residual modeling, forecasting, and/or related analytics domains * Bachelors degree in Data Science or related field such as Mathematics, Statistics or ...

Experience * 15+ years in auto finance, residual modeling, forecasting, and/or related analytics domains * Bachelors degree in Data Science or related field such as Mathematics, Statistics or ...

The Sr Director, Residual Value Management will lead a team responsible for the strategic forecasting and management of vehicle residual values. A Day in the Life: The Sr Director, Residual Value ...

Experience * 15+ years in auto finance, residual modeling, forecasting, and/or related analytics domains * Bachelors degree in Data Science or related field such as Mathematics, Statistics or ...

Be Seen First

Opportunity to build long-term residual income * Supportive and growth-focused team culture Responsibilities * Meet with prospective clients to review insurance needs * Present Medicare and final ...

Be Seen First

Opportunity to build long-term residual income * Supportive and growth-focused team culture Responsibilities * Meet with prospective clients to review insurance needs * Present Medicare and final ...

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Showing results 1-20

Residual information

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$37.5K

$79.1K

$100.5K

How much do residual jobs pay per year?

As of Jun 12, 2026, the average yearly pay for residual in the United States is $79,086.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $93,000.00 per year, depending on experience, location, and employer.

What are residuals in the context of jobs and employment?

Residuals are ongoing payments made to actors, writers, directors, and other creatives for the reuse or rerun of their work, such as TV shows, movies, or commercials. These payments compensate individuals when their work is broadcast beyond its original release, like through syndication, streaming, or international sales. Residuals are typically negotiated by unions, such as SAG-AFTRA or the Writers Guild, and are an important part of income for many in the entertainment industry.

How to make 2000 a week working from home?

Residual income jobs, such as affiliate marketing, online course creation, or investing in digital assets, can generate $2,000 weekly if built with consistent effort and a scalable strategy. Success often requires strong skills in marketing, content creation, or financial management, along with dedication to building passive income streams over time.

What is a residual position?

A residual position typically refers to a job that involves ongoing or repetitive work, often with steady hours and responsibilities that remain consistent over time. It may also relate to roles in industries like entertainment or sales where residual payments or commissions are earned based on past work or sales. The specific duties and requirements depend on the industry and company context.

What are some common challenges faced by professionals working in residual income management roles?

Professionals managing residual income often encounter challenges such as accurately tracking recurring revenue streams, reconciling complex payment structures, and ensuring timely distribution of earnings to stakeholders. Additionally, adapting to changes in contractual agreements or revenue models can require strong analytical and organizational skills. Collaboration with finance, operations, and legal teams is essential to maintain transparency and compliance in residual income calculations and reporting.

What are the key skills and qualifications needed to thrive as a Residual Analyst, and why are they important?

To thrive as a Residual Analyst, you need strong analytical skills, a background in finance or accounting, and proficiency in data analysis. Familiarity with spreadsheet software like Excel, financial modeling tools, and possibly certification such as CFA or CPA is highly beneficial. Attention to detail, problem-solving abilities, and effective communication help you stand out in this role. These competencies ensure accurate valuation of assets and support sound financial decision-making for organizations.

How to make $10,000 a month without a degree?

Residual jobs often involve passive income streams such as investing in real estate, creating digital products, or building online businesses that generate ongoing revenue. Developing skills in sales, marketing, or content creation can help increase earning potential without a degree, but achieving $10,000 monthly typically requires significant effort, experience, and strategic planning.

What is the difference between Residual vs Maintenance Technician?

AspectResidualMaintenance Technician
Required CredentialsTypically requires specialized training or certifications related to residuals handling or processingRequires technical certifications, trade school diploma, or relevant technical training
Work EnvironmentOften in industrial, manufacturing, or energy sectors dealing with residual materialsIn industrial, commercial, or facility settings performing equipment upkeep
Employer & Industry UsageCommon in energy, manufacturing, and waste management industriesWidely used across manufacturing, facilities management, and industrial sectors
Search & Comparison IntentPeople compare Residual roles with similar technical or industrial rolesOften compared with roles like Residual in industrial contexts

Residual and Maintenance Technician roles both require technical skills and are found in industrial settings. Residual focuses on handling or processing residual materials, while Maintenance Technicians perform equipment upkeep. Understanding these differences helps job seekers find the right position aligned with their skills and industry interests.

What jobs make residual income?

Jobs that generate residual income typically involve creating products or content that continue to earn money over time, such as authors, musicians, or online course creators. Other examples include real estate investing, licensing agreements, and owning vending machines or franchises, which can provide ongoing income with minimal active effort after initial setup. Skills in marketing, sales, and digital tools can enhance success in these roles.
More about Residual jobs
What cities are hiring for Residual jobs? Cities with the most Residual job openings:
What are the most commonly searched types of Residual jobs? The most popular types of Residual jobs are:
What states have the most Residual jobs? States with the most job openings for Residual jobs include:
Infographic showing various Residual job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 12% Physical, 1% Hybrid, and 87% Remote job distribution, with an average salary of $79,086 per year, or $38 per hour.

Head of Residual Strategy

Hearst Newspapers

Lawrenceville, GA

Full-time

Posted 22 days ago


Job description

Due to continued growth, and the successful introduction and adoption of Black Book's industry-leading data and analytics products and services, Black Book, one of the most recognized brands in the automotive and automotive finance industries, is expanding its Senior Management Team with the addition of a new executive leadership role. This strategic investment reflects the company's commitment to accelerating future growth, driving innovation, and further strengthening its position as a trusted leader across the automotive ecosystem. As Black Book continues to invest significantly in technology, data intelligence, and market expansion initiatives, this new role will play a critical part in helping shape and execute the company's long-term business strategy.

Position Summary

Based in our suburban Atlanta corporate office and reporting to the President, the Head of Residual Strategy will lead our residual value modeling and predictive valuation capability across the U.S. and Canada.

This is a high-impact leadership role responsible for one of the core economic engines of the business-residual value forecasting and analytics. You will own the strategy, modeling direction, and performance of residual outputs, ensuring they are accurate, stable, explainable, and trusted by the market.

Operating at the intersection of data science, domain expertise, and product, this role translates complex modeling capabilities into customer value, product innovation, and revenue growth while serving as a key external voice for Black Book, representing our residual strategy and market perspective with clients, partners, and industry stakeholders while helping strengthen Black Book's position as a trusted authority in residual value forecasting and risk analytics.

Experience

  • 15+ years in auto finance, residual modeling, forecasting, and/or related analytics domains
  • Bachelors degree in Data Science or related field such as Mathematics, Statistics or computer science.  Masters or PhD strongly preferred 
  • Deep understanding of leasing economics, residual risk, and ABS/securitization markets 
  • Experience with statistical modeling, machine learning approaches, and AI adoption 
  • Experience working directly with captives, lenders, and institutional investors 

Capabilities

  • Ability to bridge technical modeling and business strategy 
  • Strong understanding of model behavior, limitations, and explainability 
  • Ability to communicate complex outputs clearly to technical and business audiences 
  • High credibility in customer-facing environments 

Nice to Have

  • Experience building or scaling data products 
  • Exposure to API-based delivery and analytics platforms 
  • Experience working with production AI/ML systems 

What This Role Is Not

  • Not a pure data science execution role 
  • Not a traditional product manager 
  • Not an internal-only analytics role

Company Background:

A wholly owned subsidiary of HEARST (one of the nations' largest diversified media companies), and part of the HEARST Transportation Division, Black Book is one of the most recognizable brands in the industry and is a leading provider of vehicle pricing and automotive data and analytics to the automotive and finance industries.  With a focus on innovative solutions, world class data and analytics and a goal of delivering our customers the most precise data to help them reduce risk and increase profitability, we publish and deliver our data on a daily, weekly, and monthly basis in various electronic formats which include, but are not limited to: data feeds; web-services; Internet-based applications; smart phone resident applications; online trade appraisal service software; traditionally printed guidebooks.

We are guided by our core values of Own It, Continuously Improve, Be Agile and Celebrate Success, while focusing on our unique offerings that include our Data, our Approach, and our Flexibility.

To learn more about our products and company history, please visit our website at www.BlackBook.com

Residual Strategy & Forecasting

  • Own residual value forecasts across new and used vehicles 
  • Define and evolve modeling approaches including mileage, trims, volatility, segmentation, and model-year transitions 
  • Ensure outputs are accurate, stable, explainable, defensible, and aligned to customer and market needs 
  • Support use cases across captives, lenders, ABS/securitization, insurance, and fleet analytics 
  • Expand residual capabilities and enable new analytics opportunities 

Modeling Leadership

  • Define modeling objectives and success criteria around accuracy, stability, and explainability 
  • Partner with Data Science to guide development approaches, feature design, and target definitions 
  • Ensure models adhere to established QA, validation, and documentation standards 
  • Establish scalable lifecycle processes across development, validation, release, monitoring, and iteration 
  • Manage exception handling, volatility controls, and release readiness 
  • Ensure strong documentation, terminology consistency, and knowledge transfer 

Customer & Industry Leadership

  • Serve as a trusted advisor to captives, lenders, institutional investors, fleet organizations, and insurance carriers 
  • Lead resolution of customer escalations and methodology challenges 
  • Support strategic sales conversations, portfolio analysis, and risk-related engagements 
  • Clearly communicate model behavior, market shifts, and residual trends 

Product & Commercial Collaboration

  • Partner with Product to translate residual capabilities into customer-facing solutions 
  • Influence roadmap prioritization and monetizable analytics opportunities 
  • Support go-to-market efforts through messaging, use case development, and deal support 
  • Drive scalable product innovation and revenue-generating opportunities 

Thought Leadership

  • Define Black Book's perspective on residual risk, market volatility, and portfolio performance 
  • Lead and contribute to market outlooks, residual value reports, and conference presentations 
  • Strengthen Black Book's position as a trusted authority in residual analytics and forecasting 

Cross-Functional Leadership

  • Lead a dedicated Residual Data Science team and Residual Analyst function 
  • Partner across Data Science, Product, Data & Market Intelligence, BI, Sales, and Marketing 
  • Drive alignment across teams to ensure clear ownership, efficient execution, and consistent outputs 

What Success Looks Like

  • Residual outputs meet defined accuracy, stability, and explainability targets 
  • Customers trust Black Book to support portfolio risk and strategic planning decisions 
  • Residual analytics drive scalable product innovation and new revenue opportunities 
  • Black Book strengthens its reputation as a leader in residual value forecastingÂ