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Model Validation Remote Jobs in Virginia (NOW HIRING)

Actuary, Model Risk

Richmond, VA · On-site +1

$115K - $135K/yr

A Hybrid schedule of both Remote and In-Office days is required. In office days are Tuesday ... Validate that models are fit for purpose and functioning as expected based on their design, input ...

AI Systems Engineer

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is seeking a highly skilled AI/ML ... Support vendor teams in rigorous model validation and performance testing, ensuring AI/ML solutions ...

Senior AI Systems Engineer

Chantilly, VA · On-site +1

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Senior AI Systems ... Support vendor teams in rigorous model validation and performance testing, ensuring AI/ML solutions ...

... years of minimum experience designing clean, valid, responsive and compatible websites ... interactive prototypes and mockups; define interaction models, user task flows and UI ...

... years of minimum experience designing clean, valid, responsive and compatible websites ... interactive prototypes and mockups; define interaction models, user task flows and UI ...

Proven Optics Technology Business Management (TBM) Cost Modeling Application Key Responsibilities ... Validate system functionality, reports, and dashboards * Identify and track defects, and support ...

Microservices Developer (Remote)

Alexandria, VA · Remote

$54.50 - $70.75/hr

This will be a 100% remote contract-to-hire position. * SELECTED CANDIDATES WITHOUT REQUIRED ... Implement input validation, error handling, idempotency, and standardized response models.

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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 Virginia? The most popular types of Model Validation jobs in Virginia are:
What cities in Virginia are hiring for Model Validation Remote jobs? Cities in Virginia with the most Model Validation Remote job openings:
Actuary, Model Risk

Actuary, Model Risk

Genworth Financial

Richmond, VA • On-site, Remote

$115K - $135K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 20 days ago


Job description

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care withguidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care-and we bring those experiences with us to work in serving our millions of policyholders each day.

We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism.

Our four values guide our strategy, our decisions, and our interactions:

  • Make it human. We care about the people that make up our customers, colleagues, and communities.
  • Make it about others. We do what's best for our customers and collaborate to drive progress.
  • Make it happen. We work with intention toward a common purpose and forge ways forward together.
  • Make it better.We create fulfilling purpose-driven careers by learning from the world and each other.

POSITION TITLE

Actuary, Model Risk

LOCATION

Richmond, VA

Remote US (Eastern or Central Time Zones)

This position is available to Virginia residents as Richmond, Virginia in-office applicants

*A Hybrid schedule of both Remote and In-Office days is required. In office days are Tuesday, Wednesday and Thursday with working hours targeting our core business hours of 9am-5pm EST.

This position is available to remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama, Arkansas, Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Vermont, Virginia, Washington DC, West Virginia or Wisconsin.

* A Hybrid schedule of both Remote and In-Office days would be required if you reside within 50 miles of a Genworth | CareScout office with working hours targeting our core business hours of 9am-5pm EST.

YOUR ROLE

As an Actuary and member of the Model Risk Team, you will assess and manage model risk for Genworth's US Life Insurance, CareScout Insurance, CareScout Services businesses, and Genworth's Investment and Corporate functions. You will lead independent model validations, partner with model owners and business leaders, and help advance best-in-class model risk management practices across the enterprise.

What you will be doing

  • Lead independent model validations for actuarial, finance, investment, and data science models
  • Validate that models are fit for purpose and functioning as expected based on their design, input data, methodology, and output
  • Provide effective challenge on model rationale, reliability, stability, robustness, and limitations
  • Identify model issues, confirm their resolution, and document validation findings for both technical and non-technical audiences
  • Collaborate with model owners, developers, and business leaders to deliver independent, value-added model risk management
  • Assess the enterprise's inherent and residual exposure to model risk based on its business processes, and risk management strategies
  • Contribute thought leadership and insights on modeling, model risk management, model controls, and model governance
  • Improve the efficiency and efficacy of existing model risk management processes
  • Share industry knowledge, best practices, and notable validation findings with the Model Risk Team

What you bring

  • Bachelor's Degree in a quantitative discipline
  • Fellow of Society of Actuaries (FSA) or Associate of the Society of Actuaries (ASA); FSA preferred
  • 7+ years of relevant experience within the Life, Annuity, or LTC insurance industries
  • 3+ years of experience developing actuarial models in an actuarial software platform (Moody's AXIS or MG-ALFA/Integrate preferred)
  • Proficiency in SQL or programming languages such as Python, R, or SAS
  • Familiarity with actuarial valuation, projections, experience study or pricing models
  • Interest in adopting and building AI tools to improve how we work
  • Ability to document models, processes, and validation findings for technical and non-technical audiences
  • Ability to work independently, take ownership of projects, and self-study unfamiliar topics

Nice to have

  • Master's degree in a quantitative discipline
  • CERA designation
  • Familiarity with predictive analytics, statistical techniques, or AI/machine learning models
  • Experience with using AI tools to improve processes and boost productivity

Employee Benefits & Well-Being

Genworth employees make a difference in people's lives every day. We're committed to making a difference in our employees' lives.

  • Competitive Compensation & Total Rewards Incentives
  • Comprehensive Healthcare Coverage
  • Multiple 401(k) Savings Plan Options
  • Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)
  • Generous Paid Time Off - Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave
  • Disability, Life, and Long Term Care Insurance
  • Tuition Reimbursement, Student Loan Repayment and Training & Certification Support
  • Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management)
  • Caregiver and Mental Health Support Services

ADDITIONAL

  • At this time, Genworth will not sponsor a new applicant for employment authorization for this position.

National Range: $109,00 - 169,000

High-Cost Range (includes New York): $115,900 - $220,200

Disclaimer: This role is aligned to a national market-based pay range. Actual compensation will vary based on geographic location, experience, skills, and other job-related factors. In addition to base salary, this role is eligible to participate in a bonus incentive plan. Incentive compensation is based on individual and company performance and is not guaranteed.