ZipRecruiter

Log In

2

Remote Risk Engineer Jobs in Utah (NOW HIRING)

RainFocus

Cybersecurity Engineer (Remote)

Lehi, UT · On-site +1

Risk & Change Management: Own and conduct system impact analyses for proposed changes, represent ... Collaborate with DevOps to ensure security tools are properly deployed across AWS environments and ...

Packsize

Application Security Engineer

Salt Lake City, UT · On-site +1

$56.75 - $76/hr

... remote device deployment and secure firmware/software delivery. * In-depth knowledge of cloud ... Strong background conducting security assessments, risk analyses, and security testing for ...

Lochner

Senior Roadway Engineer

Salt Lake City, UT · On-site +1

$98K - $134K/yr

... risk considerations on proposals for design engineering contracts. The Expertise You'll Bring ... Flexible work arrangements, including hybrid and remote opportunities where business needs allow

next page

Showing results 1-20

All JobsRisk Engineer JobsRemote Risk Engineer JobsRemote Risk Engineer Jobs in Utah

Remote Risk Engineer information

What is a remote risk engineer?

A Remote Risk Engineer is a professional who evaluates and manages risks for an organization, often related to safety, cybersecurity, or insurance, while working from a remote location. They analyze data, identify potential hazards or vulnerabilities, and recommend solutions to minimize losses or damages. This job typically requires strong analytical skills, knowledge of risk assessment methodologies, and effective communication, as much of the work may involve collaborating virtually with teams and clients. Remote Risk Engineers may specialize in various industries, including finance, manufacturing, or technology.

What are the key skills and qualifications needed to thrive as a remote risk engineer?

To thrive as a Remote Risk Engineer, you need a solid background in risk assessment, engineering principles, and relevant degree qualifications such as in engineering or risk management. Familiarity with risk modeling software, data analysis tools, and industry-specific certifications like Certified Risk Engineer (CRE) are often required. Strong analytical thinking, problem-solving, and effective virtual communication skills help you excel when collaborating with clients and remote teams. These capabilities are crucial to accurately identifying risks, designing mitigation strategies, and ensuring the safety and compliance of client operations from a remote environment.

How does a remote risk engineer typically collaborate with cross-functional teams to address potential risks?

As a Remote Risk Engineer, you’ll regularly work with cross-functional teams such as IT, operations, product management, and compliance to identify, assess, and mitigate potential risks. Collaboration often involves virtual meetings, shared documentation, and real-time communication tools to ensure risks are clearly communicated and addressed promptly. You may participate in risk assessments, review system designs, and provide recommendations to enhance security and operational resilience. Building strong relationships and maintaining proactive communication with team members is key to ensuring risks are managed effectively, even when working remotely.

What is the difference between Remote Risk Engineer vs Remote Underwriter?

AspectRemote Risk EngineerRemote Underwriter
Required CredentialsBachelor's in Engineering, Risk Management certificationsBachelor's in Finance, Insurance certifications
Work EnvironmentAnalyzing technical risks, data modelingAssessing insurance applications, policy evaluation
Employer & Industry UsageInsurance, finance, engineering firmsInsurance companies, brokerage firms

Remote Risk Engineers focus on analyzing technical and operational risks using engineering principles, while Remote Underwriters evaluate insurance applications and determine policy terms. Both roles require analytical skills and industry-specific certifications, often working remotely for insurance or risk management companies. Understanding these differences helps job seekers identify the right career path based on their skills and interests.

What are the most commonly searched types of Risk Engineer jobs in Utah?

The most popular types of Risk Engineer jobs in Utah are:

What are popular job titles related to Remote Risk Engineer jobs in Utah?

For Remote Risk Engineer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Remote Risk Engineer jobs in Utah look for?

The top searched job categories for Remote Risk Engineer jobs in Utah are:

What cities in Utah are hiring for Remote Risk Engineer jobs?

Cities in Utah with the most Remote Risk Engineer job openings:

Remote Risk Engineer jobs near you

Quality Assurance Engineer (Remote)

MRIoA

Salt Lake City, UT • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Description
Who We Are - Motivated by Purpose. Powered by Clinical Expertise.
Founded in 1983, we're a clinically-driven, tech-enabled utilization management company offering expert clinical reviews, regulatory guidance, and actionable insights to healthcare organizations.
Excellence starts with our people.
WE OFFER
  • A competitive compensation package
  • Benefits include healthcare, vision, and dental insurance
  • A generous 401(k) match
  • Paid vacation, PTO, and holidays
  • Growth and training opportunities
  • An award-winning remote work environment

POSITION OVERVIEW
Quality Assurance Engineer is a corporate function within the Engineering organization responsible for the quality, reliability, and release-readiness of software products built on modern technologies, including cloud-native applications hosted on Microsoft Azure and AI/ML-enabled features.
Roles:
  • Primary role is testing software applications created or updated by the Application Development team.
  • Conduct structured peer and code reviews of test artifacts to ensure adherence to standards and best practices.
  • Design, create, and maintain realistic and compliant test data sets, including synthetic data for healthcare (PHI-safe) scenarios.
  • Design and execute validation strategies for AI/ML and Retrieval-Augmented Generation (RAG) features, including model quality, grounding, and safety evaluation.

Major Responsibilities or Assigned Duties:
  • Participate in the test management lifecycle, including test planning, execution tracking, defect management and reporting.
  • Provide input on release readiness criteria to Engineering and Product stakeholders.
  • Maintain the regression suite after every release.
  • Develop and maintain automated test suites in Python (e.g., pytest) and JavaScript/Node.js, integrated into CI/CD pipelines.
  • Write and review complex SQL queries, joins, and aggregations to validate data accuracy, completeness, and reconciliation across systems.
  • Validate data flows across source systems, transformation layers, and reporting/consumption layers.
  • Ensure test data supports both functional automation and AI/ML / RAG evaluation needs.
  • Design and execute test strategies for AI/ML and Retrieval-Augmented Generation (RAG) pipelines and AI-assisted features, including retrieval accuracy, grounding, hallucination, output quality, bias/safety, and drift (regression) checks.
  • Build and maintain automated evaluation harnesses and datasets for AI/ML features, including prompt/response scoring and metric tracking.
  • Validate applications, APIs, and test environments deployed on on-prem data center, Microsoft Azure, including Azure-hosted services, data stores, and CI/CD pipelines.
  • Read and interpret React / Node.js / Python / ColdFusion source code, pull requests, and technical designs to identify testable conditions, edge cases, and regression risk.
  • Write detailed test cases and test plans that trace directly to code paths, business rules, and acceptance criteria.
  • Partner with developers during code review to flag insufficient test coverage, untested branches, and high-risk changes before merge.
  • Perform post-deployment validation to confirm application, API, and AI feature stability in production.
  • Investigate production defects and data issues, perform root cause analysis, and drive resolution with Engineering.

Requirements
Skills and Experience:
  • 5+ years of experience in automated software testing
  • 5+ years of experience in manual software testing
  • 5+ years of experience in component-level testing
  • 5+ years of experience in end-to-end testing
  • Proficiency in SQL
  • Proficiency in React
  • Proficiency in Node.js
  • Proficiency in Python source code in GitLab
  • Proficiency in testing Artificial Intelligence (AI)
  • Proficiency in testing Machine Learning (ML)
  • Proficiency in evaluating Artificial Intelligence (AI)
  • Proficiency in evaluating Machine Learning (ML)
  • Proficiency in testing Retrieval-Augmented Generation (RAG)
  • Proficiency in testing generative AI features
  • Proficiency in testing workloads on Microsoft Azure

Education:
  • High School Diploma required
  • Bachelor's degree (Advantage)

Work Environment:
Ability to sit at a desk, utilize a computer, telephone, and other basic office equipment is required. This role is designed to be a remote position (work-from-home).
Diversity Statement:
Diversity creates a healthier atmosphere: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
Drug-Free Workplace:
This company is a drug-free workplace. All candidates are required to pass a Background Screen before beginning employment. All newly hired employees will take a Drug Screen, as well as agreeing to all necessary Compliance Regulations on their first day of employment. Employees are required to adhere to all applicable HIPAA regulations and company policies and procedures regarding the confidentiality, privacy, and security of sensitive health information.
California Consumer Privacy Act (CCPA) Information (California Residents Only):
  • Sensitive Personal Info: MRIoA may collect sensitive personal info such as real name, nickname or alias, postal address, telephone number, email address, Social Security number, signature, online identifier, Internet Protocol address, driver's license number, or state identification card number, and passport number.
  • Data Access and Correction: Applicants can access their data and request corrections. For questions and/or requests to edit, delete, or correct data, please email the Medical Review Institute at HR@mrioa.com.

Apply