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Probabilistic Risk Assessment Engineer Jobs in Texas

Fervo Energy

Completions Engineer

Houston, TX

$76K - $103K/yr

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

Cymertek

System Security Engineer

San Antonio, TX · On-site

System Security Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... Conduct risk assessments and mitigate vulnerabilities * Ensure compliance with security standards ...

Airswift

Senior Estimator

Houston, TX · On-site

Experience reviewing and validating contractor cost estimates, engineering studies, productivity ... risk analysis, contingency planning, escalation factors, uncertainty assessments, and probabilistic ...

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 ...

WSP

Senior Risk Manager

Houston, TX · On-site

Prepare economic risk assessments, forecasts, and scenario analyses to support project managers ... Bachelor's degree in Engineering, Construction Management, Economics, Finance, or relevant field ...

WSP

Senior Risk Manager

Houston, TX · On-site

Prepare economic risk assessments, forecasts, and scenario analyses to support project managers ... Bachelor's degree in Engineering, Construction Management, Economics, Finance, or relevant field ...

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Probabilistic Risk Assessment Engineer information

What is a probabilistic risk assessment engineer?

A Probabilistic Risk Assessment (PRA) Engineer is a professional who evaluates the likelihood and potential consequences of risks in complex systems, often in industries such as nuclear power, aerospace, or chemical processing. They use quantitative methods and statistical models to analyze possible failure scenarios and their impacts, helping organizations make informed decisions about safety and reliability. PRA Engineers play a crucial role in identifying vulnerabilities, recommending risk mitigation strategies, and ensuring compliance with regulatory standards. Their work helps minimize the chances of catastrophic failures and improves overall system safety.

How does a probabilistic risk assessment engineer typically collaborate with other engineering and safety teams during a project?

Probabilistic Risk Assessment Engineers frequently work in multidisciplinary teams, collaborating closely with safety engineers, systems engineers, and project managers to analyze and mitigate potential risks. They provide quantitative risk assessments that inform design decisions, operational procedures, and regulatory compliance efforts. Regular meetings and data-sharing sessions are common, ensuring that risk insights are integrated throughout the project lifecycle. This collaborative environment enables effective communication of complex risk scenarios and fosters a culture of safety and continuous improvement.

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

To thrive as a Probabilistic Risk Assessment Engineer, you need a solid background in mathematics, statistics, and engineering principles, generally supported by a degree in engineering or a related field. Familiarity with specialized software such as SAPHIRE, RiskSpectrum, or CAFTA, as well as industry-specific standards and certifications like ASME or NRC guidelines, is typically required. Strong analytical thinking, attention to detail, and effective communication skills are essential for interpreting complex data and presenting findings to diverse stakeholders. These skills and qualifications are crucial for accurately assessing risks, ensuring regulatory compliance, and supporting the safety and reliability of critical systems.

What is the difference between Probabilistic Risk Assessment Engineer vs Fault Tree Analyst?

AspectProbabilistic Risk Assessment EngineerFault Tree Analyst
CredentialsEngineering degree, certifications in risk analysis or reliabilityEngineering or technical background, certifications in fault tree analysis
Work EnvironmentIndustry settings like energy, aerospace, nuclear; risk modelingSafety analysis teams, engineering departments; fault tree development
Employer & Industry UsageUsed by utilities, aerospace, nuclear plants for risk assessmentUsed in safety engineering, accident prevention, reliability studies

Both roles focus on safety and risk analysis but differ in scope. Probabilistic Risk Assessment Engineers develop comprehensive models to quantify risks, while Fault Tree Analysts focus specifically on fault tree development to identify failure pathways. The roles often collaborate but serve distinct functions within safety and reliability teams.

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

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

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

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

Probabilistic Risk Assessment Engineer jobs near you
Infographic showing various Probabilistic Risk Assessment Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Principal Software Engineer-KYC Risk Assessment

JPMorgan Chase & Co.

Houston, TX • On-site

$128K - $172K/yr

Full-time

Medical, Retirement

Posted 23 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description


If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place.
As a Principal Software Engineer-KYC Risk Assessment at JPMorgan Chase within the Corporate Sector, you provide expertise and engineering excellence as an integral part of an agile data engineering team. To enhance, build, and deliver a trusted market leading Global Know Your Customer (KYC) and Risk Assessment Data Platform in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm's portfolios.
This role is suited to a senior engineer who has hands-on skills to lead across multiple teams-defining architecture, engineering practices and standards, and delivering high-impact software that scales.
Job responsibilities
  • Architects and implements complex, scalable engineering frameworks and solutions using modern software design principles
  • Develops secure, high-quality production code for data-intensive applications and platforms, and reviews and mentors other engineers
  • Creates durable, reusable software frameworks and patterns that are leveraged across teams and functions
  • Designs and governs agentic AI systems, including multi-agent workflows, tool-use integrations, and human-in-the-loop controls appropriate for regulated financial services environments
  • Establishes engineering standards for LLM-based applications - RAG pipelines, embedding workflows, vector store integrations, and model serving - ensuring safety, observability, and reproducibility at scale
  • Drives adoption of advanced technical methods and practices aligned with the latest industry standards and product development methodologies
  • Serves as the function's go-to subject matter expert in one or more areas of focus within data engineering, platform architecture, or AI systems
  • Advises cross-functional teams on technological matters within your domain of expertise
  • Influences leaders and senior stakeholders across business, product, and technology teams on technical strategy and direction
  • Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 7+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability at enterprise scale
  • Hands-on experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures with tool use, memory, and multi-step reasoning in regulated environments
  • Expert in one or more programming languages, particularly Python and/or Java
  • Advanced knowledge of software application development and technical processes, with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering)
  • Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)
  • Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance
  • Practical cloud-native experience (AWS, Azure, or GCP)
  • Ability to present and effectively communicate with senior leaders and executives
  • Demonstrable experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data.
  • Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse.

Preferred qualifications, capabilities, and skills
  • Experience with modern data platforms such as Databricks or Snowflake
  • Deep hands-on experience with Spark/PySpark and other big data processing technologies
  • Expertise in open-source table formats and catalog services such as Apache Iceberg
  • Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI)
  • Familiarity with AI evaluation and observability practices: evals frameworks, red-teaming, prompt drift detection, and cost/latency monitoring for LLM workloads
  • Understanding of agentic design patterns and how to constrain agent autonomy in high-stakes financial workflows
  • Awareness of AI risk and regulatory considerations relevant to AI use in financial decision-making

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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