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Probabilistic Risk Assessment Jobs in Texas (NOW HIRING)

Fervo Energy Company

Completions Engineer

Houston, TX · On-site

$76K - $103K/yr

... probabilistic estimates. • Support well planning and operational scheduling activities in ... Operational Learning, Risk Management & Field Engagement • Apply risk assessment, hazard analysis ...

ONEOK, Inc

Senior Project Manager

Houston, TX · On-site

Develop cost estimates, probabilistic cost risk assessment, and contingency plans to create a project budget and cash flow estimate for a typical project. Validate estimates with peers; perform ...

ONEOK

Senior Project Manager

Houston, TX · On-site

Develop cost estimates, probabilistic cost risk assessment, and contingency plans to create a project budget and cash flow estimate for a typical project. Validate estimates with peers; perform ...

ARES Corporation

Senior Scheduler IV

Houston, TX · On-site

Perform recurring schedule risk assessments, including uncertainty and sensitivity analyses ... Experience performing probabilistic schedule risk analysis and schedule health analysis.

ARES

Senior Scheduler IV

Houston, TX · On-site

Perform recurring schedule risk assessments, including uncertainty and sensitivity analyses ... Experience performing probabilistic schedule risk analysis and schedule health analysis.

Chord Energy

Geologist

Houston, TX · On-site

Supports integrated subsurface teams, providing appropriate subsurface analysis, e.g. risk assessment & mitigation, probabilistic hydrocarbon estimates, & the reservoir impact of potential wells

Chord Energy

Geologist

Houston, TX · On-site

Supports integrated subsurface teams, providing appropriate subsurface analysis, e.g. risk assessment & mitigation, probabilistic hydrocarbon estimates, & the reservoir impact of potential wells

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Probabilistic Risk Assessment information

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$4.6K

$8.1K

$12.5K

How much do probabilistic risk assessment jobs pay per month?

As of Sep 8, 2026, the average monthly pay for probabilistic risk assessment in Texas is $8,135.08, according to ZipRecruiter salary data. Most workers in this role earn between $4,850.00 and $11,416.67 per month, depending on experience, location, and employer.

What is a probabilistic risk assessment?

A Probabilistic Risk Assessment (PRA) job involves evaluating risks by using statistical methods to quantify the likelihood and consequences of potential adverse events. Professionals in this field apply mathematical models, simulations, and data analysis to assess uncertainties and improve decision-making in industries such as nuclear energy, aerospace, and finance. Their work helps organizations enhance safety measures, comply with regulations, and optimize system reliability. PRA analysts often collaborate with engineers, policymakers, and risk managers to develop strategies that mitigate potential hazards.

What are the typical daily responsibilities of someone working in probabilistic risk assessment?

Professionals in Probabilistic Risk Assessment often spend their days collecting and analyzing data, developing quantitative risk models, and preparing risk reports for stakeholders. They collaborate closely with engineers, project managers, and regulatory personnel to evaluate system reliability and identify potential failure modes. Regular tasks include running simulations, updating risk assessments based on new information, and presenting findings to both technical and non-technical audiences. This role involves balancing analytical work with team-based problem solving, making it ideal for individuals who enjoy both independent analysis and collaborative projects.

What are the key skills and qualifications needed to thrive in probabilistic risk assessment, and why are they important?

To thrive in Probabilistic Risk Assessment, you need a strong background in statistics, mathematics, and risk modeling, typically supported by a degree in engineering, mathematics, physics, or a related field. Familiarity with specialized software tools like SAPHIRE, R, MATLAB, or Monte Carlo simulation packages, as well as relevant certifications such as Certified Reliability Engineer (CRE), is often required. Excellent analytical thinking, communication skills, and attention to detail are highly valued soft skills in this role. These competencies are crucial to accurately identify, quantify, and communicate potential risks, supporting informed decision-making in safety-critical industries.

What are the most commonly searched types of Probabilistic Risk Assessment jobs in Texas?

The most popular types of Probabilistic Risk Assessment jobs in Texas are:

What are popular job titles related to Probabilistic Risk Assessment jobs in Texas?

For Probabilistic Risk Assessment jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Probabilistic Risk Assessment jobs in Texas look for?

The top searched job categories for Probabilistic Risk Assessment jobs in Texas are:

Probabilistic Risk Assessment jobs near you
Infographic showing various Probabilistic Risk Assessment job openings in Texas as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 84% In-person, 4% Hybrid, and 12% Remote job distribution, with an average salary of $97,621 per year, or $46.9 per hour.

Engineering Division - Dallas - Vice President, Risk Governance - 10427762

Goldman Sachs, Inc.

Dallas, TX • On-site

$178K - $229K/yr

Full-time

Posted 28 days ago

Goldman Sachs rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

90th of 176 rated banks

Job description


Job Duties: Vice President, Risk Governance with Goldman Sachs Services LLC in Dallas, Texas. Responsible for identifying, analyzing, and monitoring areas of risk as it pertains to business processes and controls. Responsible for determining, negotiating and agreeing on firm/business quality procedures, standards and specifications. Assess business requirements and ensuring that these are met; acting as a catalyst for change and improvement in performance and quality; monitoring performance. Ensure appropriate oversight for the risk profile of the aligned segment. Establish effective supervisory structures, appropriate segment governance forums, including divisional operational risk and resilience councils ("ORRCs"). Attend regular risk meetings to review exceptions across business units, ask probing questions to establish potential market, client, and other risks that may be contained within aligned workflows. Identify risks within the operational risk profile of the segment, including emerging risks. Share risk best practice across teams and functions, as well as with other business lines where processes exist or there is exposure to similar risks, thereby ensuring effective controls are in place to mitigate those risks. Assess Inherent Risks (IRs) and Residual Risks (RRs) to ensure Risk and Control Self-Assessment (RCSA) risk and control review accurately reflects the current risk environment and quality of operational controls. Define thematic RCSA issues to help structure remediation plans regarding significant open risks or control deficiencies and aid with execution of Control Assurance requirements for in-scope controls. Socialize lessons learned to improve our risk and control framework.
Job Requirements: Master's degree (U.S. or foreign equivalent) in Finance, Financial Engineering, Mathematics or related field and three (3) years of experience in the job offered or a related risk governance role OR Bachelor's degree (U.S. or foreign equivalent) in Finance, Financial Engineering, Mathematics or related field and five (5) years of experience in the job offered or a related risk governance role. Prior experience must include three (3) years of experience (with a Master's degree) OR five (5) years of experience (with a Bachelor's degree) with: performing statistically driven analysis using various data analytical techniques to identify trends and propose process enhancements; creating, developing, and enhancing probabilistic and deterministic financial models; leveraging knowledge of regulatory capital regimes, including the Basel and CCAR framework, to calculate and optimize return on equity; running scenario analyses, including stressed loss calculations, used in various efforts to minimize a segment's exposure to market dislocations and economic shocks, and preparing associated summary presentations for management; visualizing complex data analyses from raw data in risk management reports, using visualization tools such as Tableau, and communicating results to a wide variety of audiences; leveraging analytics and automation experience to propose effective and efficient methods to enhance testing and sampling strategies to ensure the most effective risk detection and analyses; and developing processes and tools to identify and monitor data accuracy.
©The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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