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Remote Risk Jobs in Katy, TX (NOW HIRING)

CareVitality Inc

Care Manager - Remote

Houston, TX · Remote

$60K - $77K/yr

Title: Care Manager - Remote- Texas /Arkansas preferred Reports to: CEO/President Status ... Health Risk Assessments may be incorporated into the role as program needs evolve. * Escalate ...

YO AI Labs

Healthcare Attorney - Remote

Houston, TX · Remote

$140 - $400/hr

Remote (United States Only) Job Overview We are seeking experienced Healthcare Attorneys to ... Familiarity with healthcare operations, risk management, or clinical environments. * Excellent ...

Binary Defense

Tier 2 SOC Analyst - REMOTE

Houston, TX · Remote

Experience mapping detections to common frameworks and risk reduction models * Familiarity with the ... remote friendly work environment, as well as training opportunities to expand your skill set (to ...

Binary Defense

Tier 2 SOC Analyst - REMOTE

Houston, TX · On-site +1

Experience mapping detections to common frameworks and risk reduction models * Familiarity with the ... remote friendly work environment, as well as training opportunities to expand your skill set (to ...

Wood Plc

Water Resources Engineer - FEMA

Houston, TX · Remote

$75K - $103K/yr

This role has the opportunity to be remote from any location within the US. Key Responsibilities: * Perform hydrologic and hydraulic modeling projects as part of the Risk FEMA's Mapping, Assessment ...

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Showing results 21-40

All JobsRisk JobsRemote Risk JobsRemote Risk Jobs in Katy, TX

Remote Risk information

See Katy, TX salary details

$13

$27

$67

How much do remote risk jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for remote risk in Katy, TX is $27.83, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $35.53 per hour, depending on experience, location, and employer.

What is a remote risk?

Remote Risk jobs are positions in risk management that are performed entirely or mostly from a remote location, rather than in a traditional office setting. These roles involve identifying, assessing, and mitigating risks that could affect a company’s operations, finances, or reputation. Common tasks include analyzing data, developing risk management strategies, and ensuring compliance with regulations. Remote Risk professionals often use digital tools and platforms to communicate and collaborate with their teams. This flexibility allows companies to access a broader talent pool and enables employees to work from anywhere.

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

To thrive as a Remote Risk Analyst, you need strong analytical skills, knowledge of risk management principles, and typically a degree in finance, business, or a related field. Familiarity with risk analysis software, data visualization tools, and certifications like FRM (Financial Risk Manager) are often required. Excellent communication, attention to detail, and self-motivation are vital soft skills for collaborating remotely and ensuring thorough risk assessments. These abilities help identify potential threats, support informed decision-making, and maintain organizational resilience in a remote work environment.

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

Remote Risk professionals often work closely with IT, compliance, legal, and operations teams to identify and mitigate potential threats. Collaboration typically involves regular virtual meetings, sharing risk assessments, and developing response strategies using digital communication tools. As a remote worker, strong written and verbal communication skills are essential to ensure all stakeholders are informed and aligned on risk management practices. Effective collaboration also means proactively seeking input from various departments to build a comprehensive risk profile and ensure timely resolution of issues.

What is the difference between Remote Risk vs Remote Underwriter?

AspectRemote Risk
Required CredentialsRisk assessment certifications, insurance licenses
Work EnvironmentRemote, independent analysis of insurance risks
Employer & Industry UsageInsurance companies, brokers, risk management firms
Common Search & ComparisonPeople compare Remote Risk with Remote Underwriter due to similar roles in insurance decision-making

Remote Risk professionals evaluate potential insurance risks remotely, focusing on risk analysis and policy recommendations. Remote Underwriters also assess insurance applications but often have more direct authority to approve or deny coverage. While both roles require similar credentials and work environments, Remote Underwriters typically have more decision-making power. Understanding these differences helps job seekers find the right role aligned with their skills and career goals.

What are the most commonly searched types of Risk jobs in Katy, TX?

The most popular types of Risk jobs in Katy, TX are:

What are popular job titles related to Remote Risk jobs in Katy, TX?

For Remote Risk jobs in Katy, TX, the most frequently searched job titles are:

What job categories do people searching Remote Risk jobs in Katy, TX look for?

The top searched job categories for Remote Risk jobs in Katy, TX are:

What cities near Katy, TX are hiring for Remote Risk jobs?

Cities near Katy, TX with the most Remote Risk job openings:

Remote Risk jobs near you
Infographic showing various Remote Risk job openings in Katy, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $57,893 per year, or $27.8 per hour.

Data Scientist - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Full-time

Re-posted 20 days ago

Job description

NAVA Software solutions is looking for a Data Scientist
Details:
Data Scientist
Location: Houston TX - Remote is ok
Duration: 12 months
Clients want a data scientist who can develop machine learning models to run forecast scenarios. Also, they want this person to be knowledgeable in AWS Cloud technology
A Data Scientist with physical pipeline experience typically specializes in analyzing and optimizing physical infrastructure pipelines, such as those used in the oil and gas industry or transportation networks. Here are some common job duties associated with this role:
  • Data collection and integration: Data scientists with physical pipeline experience gather data from various sources related to the infrastructure pipelines, such as sensors, SCADA (Supervisory Control and Data Acquisition) systems, or IoT devices. They integrate and consolidate the data for analysis and modeling.
  • Pipeline performance analysis: These professionals analyze the performance of physical pipelines by examining data related to flow rates, pressure levels, temperature, corrosion, and other relevant factors. They use statistical techniques and machine learning algorithms to identify patterns, anomalies, and potential issues that may affect pipeline operations.
  • Predictive modeling and maintenance optimization: Data scientists develop predictive models to forecast pipeline performance and detect potential failures or maintenance needs. They utilize historical data, sensor measurements, and other relevant parameters to train models that can predict future events, such as leaks, blockages, or equipment failures. By identifying critical maintenance requirements in advance, they can optimize maintenance schedules and minimize downtime.
  • Risk assessment and mitigation: Data scientists assess risks associated with physical pipelines, such as environmental hazards, security threats, or regulatory compliance. They develop risk assessment models and analyze the impact of different factors on pipeline safety and integrity. Based on these analyses, they propose mitigation strategies to minimize risks and ensure compliance with safety regulations.
  • Optimization of pipeline operations: Data scientists work on optimizing the operational efficiency of physical pipelines. They analyze data to identify areas of improvement, such as reducing energy consumption, optimizing transportation routes, or improving overall system performance. By applying data-driven approaches and algorithms, they provide recommendations to optimize pipeline operations and maximize efficiency.
  • Visualization and reporting: Data scientists with physical pipeline experience create visualizations, reports, and dashboards to communicate their findings and recommendations effectively. They present complex data in a visually understandable format, allowing stakeholders to make informed decisions regarding pipeline maintenance, operations, and risk management.
  • Collaboration with cross-functional teams: These professionals collaborate with engineers, domain experts, operations personnel, and other stakeholders involved in managing physical pipelines. They work together to understand the specific requirements, constraints, and challenges associated with the infrastructure. Effective communication and teamwork are essential to ensure alignment and successful implementation of data-driven solutions.
  • Continuous improvement and innovation: Data scientists keep up with the latest advancements in data science, machine learning, and pipeline technologies. They explore new methodologies, algorithms, and tools to enhance their skills and propose innovative solutions to address pipeline-related challenges.
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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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