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Remote Operational Risk Manager Jobs in Columbia, SC

Motorola

Senior DevOps Engineer (US REMOTE)

Lexington, SC · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Build and manage containerized applications * Provision and support configuration of relational ...

Sodexo

Senior Director, Client Success

Eastover, SC · On-site +1

$156K - $202K/yr

Partner with Operations and Account Management to improve client health and outcomes through retention risk mitigation, continuous improvement efforts, cross-functional coordination and best practice ...

Kosmos

Sr Attorney

Columbia, SC · Remote

$170K - $250K/yr

... remote position with a full benefits package. The Supervising Attorney is responsible for managing ... Must be accountable for legal, risk mitigation and cost control while remaining compliant with the ...

Qualio

Account Executive (Remote)

North, SC · Remote

About Us Qualio is a unified quality and compliance management platform that helps regulated ... risk. Trusted by biopharma, medtech, and diagnostics companies worldwide, Qualio eliminates ...

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All JobsOperational Risk JobsRemote Operational Risk Manager JobsRemote Operational Risk Manager Jobs in Columbia, SC

Remote Operational Risk Manager information

See Columbia, SC salary details

$43.5K

$111.7K

$219.3K

How much do remote operational risk manager jobs pay per year?

As of Sep 15, 2026, the average yearly pay for remote operational risk manager in Columbia, SC is $111,669.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $147,100.00 per year, depending on experience, location, and employer.

What is the difference between Remote Operational Risk Manager vs Remote Compliance Analyst?

AspectRemote Operational Risk ManagerRemote Compliance Analyst
Required CredentialsRisk management certifications (e.g., CRM, FRM), relevant experienceCompliance certifications (e.g., CCEP, CAMS), regulatory knowledge
Work EnvironmentOversees risk processes, collaborates with multiple departments remotelyMonitors compliance, reviews policies, reports remotely
Employer & Industry UsageFinancial services, banking, insuranceFinancial institutions, healthcare, corporate sectors
Search & Comparison IntentUnderstanding risk management roles, remote risk jobsCompliance roles, regulatory job comparisons

The Remote Operational Risk Manager focuses on identifying and mitigating risks across an organization remotely, often requiring risk management certifications. In contrast, the Remote Compliance Analyst concentrates on ensuring adherence to regulations and internal policies. Both roles are vital in financial and corporate sectors, but they serve different functions within risk and compliance frameworks.

What are popular job titles related to Remote Operational Risk Manager jobs in Columbia, SC?

For Remote Operational Risk Manager jobs in Columbia, SC, the most frequently searched job titles are:

What job categories do people searching Remote Operational Risk Manager jobs in Columbia, SC look for?

The top searched job categories for Remote Operational Risk Manager jobs in Columbia, SC are:

Remote Operational Risk Manager jobs near you
Infographic showing various Remote Operational Risk Manager job openings in Columbia, SC as of June 2026, with employment types broken down into 85% Full Time, 9% Part Time, 1% Temporary, and 5% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $111,669 per year, or $53.7 per hour.

Investment Management Counsel - Remote

Columbia, SC • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$90 - $150/hr

Part-time

Re-posted 29 days ago

Job description

Role Title: Funds Attorney


Role Type: Contractor


Location: Remote


We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.


Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  3. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  4. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. J.D. from an ABA-accredited law school.
  2. Active bar admission in at least one U.S. jurisdiction.
  3. Minimum of 2 years in the funds department of a corporate law firm.
  4. Familiarity with standard M&A agreements, including LPA’s, subscription agreements, and side letters.
  5. Exceptional written and verbal communication skills with meticulous attention to detail.
  6. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  7. Demonstrated commitment to innovation at the intersection of law and technology.
  8. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.


Compensation Structure:


Compensation is task-based, meaning experts are paid per completed task that meets the project specifications. The average handling time (AHT) is approximately 3.5 hours per task, and the effective hourly rate will depend on the number of tasks completed and successfully signed off.

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