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Model Validation Remote Jobs in Tennessee (NOW HIRING)

Sr Corporate Accountant

Franklin, TN · On-site +1

$80K - $100K/yr

The Lifestyle: 100% Remote (or hybrid) with our Nashville team, and zero billable hours. * No ... Validates that accounts receivable (AR) reserves and state supplemental balances are accurate and ...

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Model Validation Remote information

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 key skills and qualifications needed to thrive as a Model Validation Remote, and why are they important?

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 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 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 are the most commonly searched types of Model Validation jobs in Tennessee? The most popular types of Model Validation 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:
Senior Development Engineer (Remote, US)

Senior Development Engineer (Remote, US)

JMT Consulting

Nashville, TN • Remote

$90K - $110K/yr

Full-time

Posted 13 days ago


Job description

Overview

The Senior Development Engineer – Hands-On Data Integrations is a senior individual contributor role within the Data Services team, focused on the design, build, and day-to-day operation of production data integrations for nonprofit and mission-driven clients.


This role is deeply hands-on. The specialist spends the majority of their time writing code, configuring integrations, monitoring data flows, troubleshooting issues, and delivering working solutions. Client interaction is practical and delivery-oriented, with success measured by integration stability, accuracy, and supportability—not slide decks or abstract architecture.


This role requires a continuous, fluid transition between very technical work and speaking in plain language for non-IT client staff. The Specialist must be able to translate accounting end-user experiences into a viable technical solution design that addresses all the client’s pain points, and then translate that solution design back into plain language for the clients. 

Responsibilities

Build & Run Data Integrations

  • Design, build, and maintain production-grade data integrations between CRM, ERP, finance, and operational systems.
  • Write and maintain integration code, scripts, and jobs (API calls, transformations, validation logic, scheduling).
  • Implement and support REST and SOAP API integrations, secure file transfers, and batch processes.
  • Perform hands-on debugging and root-cause analysis of integration failures and data discrepancies.
  • Monitor integrations, respond to alerts, and resolve issues to meet agreed service expectations.

Data Quality, Validation & Reconciliation

  • Implement validation rules, control totals, and reconciliation checks to ensure data accuracy across systems.
  • Identify, diagnose, and correct data mismatches and processing errors.
  • Support audit-sensitive and finance-related data flows with clear traceability and logging.

Documentation & Supportability

  • Maintain practical, usable documentation, including mappings, explanations of logic, and runbooks.
  • Ensure integrations are supportable by other team members through clear structure and standards.
  • Contribute reusable scripts, templates, and patterns to the Data Services toolkit.


Client & Team Collaboration

  • Work directly with non-profit clients to understand desired system functionality and design the appropriate solution to best meet their needs.
  • Work directly with non-profit clients to understand integration behavior, troubleshoot issues, and deliver enhancements.
  • Partner with Project Managers and Account Managers to execute the scope of integration work.
  • Provide clear, concise status updates focused on progress, risks, and resolution—not theory.
  • Assist Sales with technical feasibility and effort estimates when needed (limited, practical involvement).

Continuous Improvement

  • Improve performance, reliability, and maintainability of existing integrations.
  • Reduce manual intervention through automation and better error handling.
  • Mentor junior team members through hands-on guidance and code reviews.
  • Stay current on API changes, platform updates, and integration best practices.


Qualifications

Required Skills & Experience

  • Bachelor's degree in Computer Science, Information Systems, or a related technical field, or equivalent practical experience.
  • 5-7 years of experience in data engineering, full-stack development, or a comparable technical role with a focus on system integration and custom development.
  • Proficiency with at least one scripting/programming language (e.g., Python, C#, Java) used for data manipulation and integration
  • Extensive experience with database technologies (Postgres, SQL, NoSQL) and writing complex queries.
  • Demonstrated experience with API integration (REST, SOAP) and ETL processes/tools.
  • Previous experience with GitHub and release management processes.
  • Proven ability to manage multiple concurrent projects and deadlines in a client-facing environment.
  • Excellent communication, presentation, and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.


Desired Qualifications

  • Experience working in a professional services or consulting capacity.
  • Familiarity with modern cloud platforms (e.g., AWS, Azure, GCP) and serverless functions.
  • Experience with CRM systems (e.g., Salesforce) and their data models.
  • Experience with ERP systems (e.g., Sage Intacct) and their implementations 



Remote, US

Base Salary: $90,000-110,000 DOE