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Model Validation Remote Jobs in Tennessee (NOW HIRING)

Altegra Health

Remote Certified Coders

Memphis, TN · Remote

$21.75 - $29.75/hr

... and data validation requirements is preferred); Ability to code using an ICD-9-CM code book ... on HCC scoring model(HCCx < or equal to 5 and HCCm < or equal to 5); Computer proficiency ...

Altegra Health

Remote Certified Coders

Memphis, TN · On-site +1

$21.75 - $29.75/hr

... data validation requirements is preferred); • Ability to code using an ICD-9-CM code book ... on HCC scoring model(HCCx Qualifications 1 year of certified coding experience Additional ...

Premise Health

Quality Engineer - Remote

Brentwood, TN · On-site +1

$50K - $57K/yr

Support continuous validation by integrating automated testing within CI/CD workflows and ... Experience working within SDLC frameworks (Agile, Scrum, Kanban, and iterative development models ...

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Model Validation Remote information

What is model validation in a remote job context?

Model validation, especially in a remote setting, involves evaluating and verifying the accuracy, performance, and reliability of statistical or machine learning models from a location outside of a traditional office. Professionals in this role typically assess whether models meet regulatory requirements, function as intended, and are free from biases or errors. Remote model validators use various tools and techniques to conduct tests, write reports, and communicate findings with stakeholders via digital platforms. This work is essential in sectors like finance, insurance, and tech, where robust models drive critical decisions. Successful remote model validation requires strong analytical skills, clear communication, and proficiency with data analysis tools.

What are the key skills and qualifications needed to thrive as a model validation remote?

To thrive as a Model Validation Remote, you need a strong background in quantitative disciplines such as mathematics, statistics, or finance, typically supported by a relevant degree. Proficiency with statistical software (like SAS, R, or Python), model risk management frameworks, and familiarity with regulatory guidelines (such as SR 11-7) are commonly required. Analytical thinking, attention to detail, and strong written communication are crucial soft skills in this role. These skills ensure accurate model assessments, regulatory compliance, and effective communication of complex findings to stakeholders.

What are some common challenges faced by professionals in remote model validation roles, and how can they be addressed?

Remote model validation professionals often encounter challenges such as maintaining clear communication with model developers and stakeholders, accessing secure data environments, and staying updated with evolving regulatory standards. To address these, it's important to leverage robust collaboration tools, schedule regular check-ins with cross-functional teams, and participate in ongoing training or knowledge-sharing sessions. Establishing clear documentation protocols and ensuring secure remote access to necessary data can also help maintain productivity and compliance.

What is the difference between Model Validation Remote vs Model Validation on-site?

AspectModel Validation RemoteModel Validation on-site
Work EnvironmentRemote, home-basedOn-site, office or client location
Required CredentialsSimilar certifications, e.g., CFA, FRM, or relatedSame as remote, often with additional in-person requirements
Industry UsageFinancial institutions, banks, asset managersSame industries, with in-person collaboration
Work FlexibilityHigh, flexible hours and locationLess flexible, fixed hours and location

Both remote and on-site model validation roles require similar credentials and industry knowledge. The main difference lies in the work environment and flexibility, with remote positions offering greater convenience and location independence, while on-site roles facilitate direct collaboration and immediate access to resources.

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

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

What are popular job titles related to Model Validation Remote jobs in Tennessee?

For Model Validation Remote jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Model Validation Remote jobs in Tennessee look for?

The top searched job categories for Model Validation Remote jobs in Tennessee are:

What cities in Tennessee are hiring for Model Validation Remote jobs?

Cities in Tennessee with the most Model Validation Remote job openings:

Model Validation Remote jobs near you

Distribution Grid Modeling and Analytics - Engineer Staff III

Electric Power Research Institute, Inc.

Knoxville, TN • On-site, Remote

$92K - $101K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Job description

Job Title:Distribution Grid Modeling and Analytics - Engineer Staff IIILocation:Knoxville, TNJob Summary and Description:

Utilities around the world are transforming their distribution systems to support electrification, distributed energy resources (DER), resilience, decarbonization, and growing operational complexity. As planning and operations become increasingly data-driven, utilities need advanced analytics, high-fidelity modeling, artificial intelligence, and trusted data to maintain a reliable, resilient, and efficient grid.

The EPRI Distribution Operations and Planning team leads collaborative research that advances the state of the art in distribution system planning and operations. Through the development of innovative methodologies, simulation tools, analytics, and field-validated solutions, the team addresses challenges spanning grid modernization, DER integration, protection, resilience, operations, and emerging technologies.

This position conducts research in advanced power system modeling, simulation, AI, machine learning, and measurement-based analytics. The successful candidate will develop and apply advanced analytical methods that combine power system models with data-driven approaches, leveraging utility data to improve planning, operations, and protection while translating cutting-edge research into practical solutions for the electric utility industry.

Key Responsibilities:

  • Makes significant contributions to advanced modeling, simulation, and analytics projects

  • Conducts independent research activities with guidance and contributes to development of new tools, methodologies, and research approaches to address industry challenges

  • Evaluate emerging technologies and applications through analytical and field-based studies

  • Contribute to technical publications, conference papers, webinars, and industry presentations

  • Support proposal development and strategic research planning activities

  • Engage with utility members to identify challenges, transfer research outcomes, and support technology adoption

  • Contribute to the development and evaluation of AI-enabled tools and analytics applications for utility planning and operations

  • Develop and apply repeatable processes for measurement data cleaning, quality assessment, and integration

  • Conduct model verification and validation activities using utility measurement data

  • Assess the applicability, limitations, and performance of emerging AI technologies within utility environments

Ideal candidate:

  • Strong knowledge of power system fundamentals, specifically distribution systems

  • Demonstrated experience developing software tools and analytical applications using Python, C#, Delphi, Java, or similar languages

  • Experience with distribution system model development, validation, and verification

  • Experience cleaning and utilizing utility measurement data from AMI, SCADA, and other field sources

  • Proven ability to conduct power systems analytical studies, with an emphasis on distribution modeling and simulation

  • Demonstrated experience with one or more industry modeling and simulation tools such as OpenDSS, CYME, Synergi, Milsoft, PowerFactory, EMTP, PSCAD

  • Experience applying AI, machine learning, or advanced analytics techniques to power system applications

  • Familiarity with modern AI and data science frameworks such as TensorFlow, PyTorch, Scikit-Learn, LLM-based systems, agentic workflows, or related technologies is desirable

  • Experience modeling high penetrations of DER, inverter-based resources, electrification technologies, and flexible loads

Preferred Education:

  • Bachelor's degree in a technical field or equivalent experience

  • Preferred MS or PhD in Electrical Engineering with Power System emphasis

  • Minimum 2-3 years of engineering, utility, consulting, research, or equivalent experience preferred.

Location:

  • This role is based out of our Knoxville, TN office. Remote work considered for the right candidate.

The salary range for this position is $92,000 USD to $101,000 USD annually.This salary range is an estimate, and the actual salary may vary based on various factors, including without limitation applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location.This role is eligible to participate in EPRI's annual incentive program. The amount of incentive varies and is subject to the terms and conditions of the plan.This role is eligible to participate in EPRI's standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, STD/LTD and paid family leave, life and accident insurance, paid time off (flexible vacation, sick leave, and holiday pay).EPRI participates in E-Verify, an online system operated jointly by the Department of Homeland Security and the Social Security Administration (SSA). EPRI uses the system to check the work status of new hires by comparing information from the employee's I-9 form against SSA and Department of Homeland Security databases.EPRI is an equal opportunity employer. EEO/AA/M/F/VETS/DisabledTogether . . . Shaping the Future of Energy.www.epri.com

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