2

Model Validation Remote Jobs in Oregon (NOW HIRING)

Lead GTM Analytics Engineer

OR ยท Remote

$160K - $170K/yr

... data models. * Establish data validation, QA processes, and monitoring to maintain high data ... Remote First Company, you can work anywhere within the US * Unlimited and flexible PTO. We believe ...

$150K - $240K/yr

Quantitatively partner with the Marketing team to model, test, and validate lead buying strategies ... High-speed internet required for remote work, Cable or Fiber ONLY with the ability to connect via ...

BIM Operator II

$39 - $51/hr

... ensure model accuracy, constructability validation, and compliance with installation and ... Remote - work from home reporting to team members as needed #LI-SA1 #LI-Remote *Applicants must be ...

Data Scientist

OR ยท On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our ... Develop, validate, and deploy statistical and machine learning models that help identify member ...

Remote Sr. Business Analyst (VA ESOM)

$92K - $119K/yr

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

BESS Engineer I (Remote)

OR ยท 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 ...

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

For remote roles, and at our discretion, candidates may be asked to participate in an on-site ... Partner with other members of the Product & Technology team to validate valuation models through ...

This is a full-time (40 hours/week), 100% remote position. It is currently funded through September ... Perform data extraction, transformation, analysis, validation, and reporting activities across ...

Machine Learning Engineer

Foster, OR ยท On-site +1

$160K - $215K/yr

Possibility for Remote. Key Responsibilities: * Design, develop, and optimize advanced algorithms ... Perform system-level analysis, simulation, and validation to ensure algorithm performance meets ...

Lead the data support and validation process for the IR team's earnings materials. * Contribute to ... Strong knowledge of and technical understanding of equity markets, analyst models, and valuation ...

Senior Financial Analyst FP&A

OR ยท Remote

$85K - $106K/yr

US Remote Position Overview We are seeking a highly capable Senior Financial Analyst\Manager to ... Financial modeling and analysis: Build and maintain financial models, variance analyses, trend ...

... integrating validated partner data into the Valiant cost model. * Experience negotiating ... Remote Work Policy Remote work necessitates a high level of trust in our employees. To ensure that ...

next page

Showing results 1-20

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 cities in Oregon are hiring for Model Validation Remote jobs? Cities in Oregon with the most Model Validation Remote job openings:
Lead GTM Analytics Engineer

Lead GTM Analytics Engineer

DigiCert

OR โ€ข Remote

$160K - $170K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Job description

Job summary

Valimail, a DigiCert company, is helping build a more trusted digital world-starting with email. Valimail is a leader in Email Authentication as a Service. Built on open standards such as DMARC, DKIM, and SPF, Valimail pioneered automated email authentication to protect organizations from impersonation and fraud. Together, Valimail and DigiCert deliver scalable, automated trust-helping organizations operate securely today while preparing for what's next.

If you're excited about building meaningful security technology, shaping new categories, and working at the intersection of innovation and global impact, Valimail offers the opportunity to do exactly that.

The Lead GTM Analytics Engineer owns the data model that powers Valimail's go-to-market execution across Sales, Marketing, Customer Success, and Partnerships. This role defines the metrics, attribution logic, and analytical foundations that enable predictable revenue performance and high-confidence decision-making.ย This is a senior individual contributor role responsible for translating ambiguous business questions into durable, scalable data structures, and delivering clear insights that directly influence GTM strategy and execution.

What you will do

  • Design, build, and own the end-to-end GTM data model, including lifecycle stages, funnel metrics, attribution logic, forecasting signals, scoring inputs, and cross-sell indicators.
  • Create and maintain a semantic layer that ensures consistent, trusted reporting across all GTM teams.
  • Define GTM metrics, data standards, and analytical logic that unify Sales, Marketing, Customer Success, Partnerships, and Product GTM data.
  • Partner with business and GTM leadership to translate strategic questions into scalable analytical models.
  • Build and maintain BI dashboards and analyses (e.g., pipeline, conversion, campaign performance, onboarding, and cross-sell).
  • Provide data logic that powers routing, scoring, enrichment, lifecycle automation, and GTM workflows.
  • Partner closely with Systems and Operations teams to ensure workflows run on clean, validated, and battle-tested data models.
  • Establish data validation, QA processes, and monitoring to maintain high data quality across systems.
  • Document data models, definitions, and logic to ensure clarity, consistency, and usability across stakeholders.

What you will have

  • 7+ years of experience in analytics engineering, data engineering, or BI roles supporting GTM or revenue-focused teams.
  • Expert-level SQL and deep experience designing scalable analytical data models.
  • Strong understanding of GTM metrics, funnel performance, attribution models, and lifecycle frameworks.
  • Hands-on experience with Snowflake as a core data warehouse.
  • Experience working with Salesforce, marketing automation platforms, customer success tools, and enrichment systems as data sources.
  • Proven ability to build dashboards or data applications and clearly communicate insights to non-technical audiences.
  • Ability to take loosely defined business logic and operationalize it into clean, durable data structures.
  • Strong documentation and communication skills, with the ability to influence both technical and business stakeholders.
  • An owner mindset, accountable for the correctness, clarity, and usability of GTM data.

Nice to have

  • Experience with Python and modern data stack tools such as Airflow, Fivetran, or Stitch.
  • Experience applying AI or ML concepts at the data layer.
  • Experience working in high-growth B2B SaaS environments with complex GTM motions.

Benefits

  • Competitive pay, the expected base pay range for this role is $160,000 - $170,000 USD
  • Comprehensive health, dental, + vision coverage
  • Remote First Company, you can work anywhere within the US
  • Unlimited and flexible PTO. We believe balanced, happy, relaxed people do better work
  • Competitive compensation and comprehensive health, dental, and vision coverageย 
  • Retirement savings programs with company matching (401(k) or RRSP)ย 
  • Generous paid time off, including holidays, and vacationย 
  • Paid parental leave and family support benefitsย 
  • Life and disability coverageย 
  • Flexible spending and health savings options (where applicable)ย 
  • Health and wellness support, including gym reimbursement and wellness programsย 
  • Employee Assistance Program with 24/7confidential support for employees and familiesย 
  • Education assistance and professional development opportunitiesย 
  • Access to LinkedIn Learning and continuous learning resourcesย 
  • Employee referral bonus program and additional company perks and discountsย 
  • Internal rewards and recognition platform (Motivosity) to celebrate and acknowledge project wins, milestone achievements, and the outstanding contributions of our colleagues
  • Business travel insurance and global employee support programsย 

#LI-EW1

#li-remote