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Model Validation Remote Jobs in Oregon (NOW HIRING)

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... Develop, train, and deploy ML models for Time-series forecasting and anomaly detection.

Kentro

Remote Sr. Business Analyst (VA ESOM)

$130K - $140K/yr

Elicit, document, and validate business and technical requirements from VA IO stakeholders across ... Proficiency with requirements documentation and process modeling tools. Preferred Qualifications:

SOLV Energy

BESS Engineer II (Remote)

OR · On-site +1

Oversee system modeling, simulation, and analysis tooptimizeperformance, efficiency, and ... Provide engineering support for testing, validation, commissioning, energization, and initial ...

SOLV Energy

BESS Engineer I (Remote)

OR · On-site +1

$79K - $99K/yr

Participate in system modeling, simulation, and analysis to optimize performance, efficiency, and ... Provide engineering support for testing, validation, commissioning, energization, and initial ...

HealthEdge

Strategic Pricing Manager

Design and validate value-based pricing frameworks aligned with margin and growth objectives ... Analyze deal model vs. actual performance in collaboration with FP&A and Operations teams.

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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 Oregon? The most popular types of Model Validation jobs in Oregon are:
What are popular job titles related to Model Validation Remote jobs in Oregon? For Model Validation Remote jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Model Validation Remote jobs in Oregon look for? The top searched job categories for Model Validation Remote jobs in Oregon are:
What cities in Oregon are hiring for Model Validation Remote jobs? Cities in Oregon with the most Model Validation Remote job openings:
Model Validation Remote jobs near you
AI Red Team Cybersecurity (SME) - Remote

AI Red Team Cybersecurity (SME) - Remote

micro1 AI

Portland, OR • Remote

$50 - $90/hr

Part-time

Posted 12 days ago

Job description

Role Title: Red Team Lead (Offensive Cybersecurity)


Role Type: Contractor


Location: Remote


micro1 is engaging Red Team Leads (Offensive Cybersecurity) to contribute expertise to a customer's critical cybersecurity project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Develop comprehensive taxonomies for cyber-capability tasks and attack stages relevant to modern threat landscapes.
  2. Design and validate evaluation frameworks for offensive security, focusing on real-world scenarios involving exploit chains, malware, cloud/appsec, and social engineering.
  3. Create safe and effective proxy tasks to simulate advanced attack vectors while maintaining strict boundaries and ethical controls.
  4. Formulate robust scoring rubrics to assess attack sophistication, coverage, and impact across diverse domains.
  5. Review, critique, and enhance benchmarks for red team operations to ensure alignment with evolving security risks and best practices.
  6. Produce clear, well-documented methodologies and technical write-ups, communicating complex security concepts to both technical and non-technical audiences.
  7. Collaborate asynchronously with project stakeholders to iterate on frameworks and incorporate feedback into deliverables.


Preferred Qualifications

  1. 5+ years of hands-on experience in offensive cybersecurity, red teaming, exploit development, or vulnerability research (8–20 years preferred for senior contributors).
  2. Track record as a principal security engineer, exploit developer, cloud red-team lead, malware reverse-engineer, or security researcher specializing in attack chains or social engineering.
  3. Deep expertise in cyber attack methodologies, exploit chains, and cloud/application security assessments.
  4. Strong background in malware analysis, reverse engineering, and/or social engineering tactics and defenses.
  5. Demonstrated ability to produce clear, actionable written and verbal communication for a variety of audiences.
  6. Advanced degree, relevant professional security certifications, or equivalent operational experience highly valued.
  7. Experience building benchmarking or evaluation frameworks in cybersecurity is a plus.

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