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Contract Probabilistic Risk Analysis Engineer Jobs in Morton Grove, IL

At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with ... Senior Financial Risk Analyst As a Senior Financial Risk Analyst located in Chicago, you will be ...

Senior Data Engineer, gTech Risk

Chicago, IL · On-site

$88K - $111K/yr

Experience with Python or R for statistical analysis and model development. * Experience in SQL and ... Partner with core Data Science and Engineering teams to transition our risk analysis from reactive ...

Showing results 41-60

Contract Probabilistic Risk Analysis Engineer information

See Morton Grove, IL salary details

$37.8K

$115.3K

$190.5K

How much do contract probabilistic risk analysis engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for contract probabilistic risk analysis engineer in Morton Grove, IL is $115,268.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $150,700.00 per year, depending on experience, location, and employer.

What is a contract probabilistic risk analysis engineer?

A Contract Probabilistic Risk Analysis Engineer is a professional hired on a contractual basis to assess and quantify risks in engineering projects using probabilistic methods. They use statistical models and simulations to predict the likelihood and potential impact of various risks, helping organizations make informed decisions. These engineers often work in industries like energy, aerospace, or construction, and their analysis supports project safety, reliability, and cost-effectiveness. Their expertise helps organizations mitigate uncertainties and optimize project outcomes.

What are the key skills and qualifications needed to thrive as a contract probabilistic risk analysis engineer?

To thrive as a Contract Probabilistic Risk Analysis Engineer, you need a solid background in engineering, mathematics, and statistics, often supported by a relevant degree and experience with risk analysis methodologies. Familiarity with technical tools such as Monte Carlo simulation software, fault tree analysis programs, and industry-specific risk assessment platforms is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and present findings to stakeholders. These competencies are crucial for accurately identifying and mitigating risks in projects, ensuring safety, compliance, and project success.

What are some common challenges faced by contract probabilistic risk analysis engineers, and how can they be addressed?

Contract Probabilistic Risk Analysis Engineers often face the challenge of quickly integrating into new teams and projects, requiring rapid understanding of industry-specific risk models and standards. Balancing diverse stakeholder expectations, tight deadlines, and incomplete data sets can add complexity to analysis tasks. To address these challenges, effective communication, adaptability, and strong analytical skills are essential. Leveraging standard risk analysis frameworks and maintaining clear documentation can also help ensure consistency and accuracy in deliverables.

What is the difference between Contract Probabilistic Risk Analysis Engineer vs Contract Reliability Engineer?

AspectContract Probabilistic Risk Analysis EngineerContract Reliability Engineer
CredentialsTypically requires engineering degrees, certifications in risk analysis or reliability (e.g., ASQ, IRCA)Requires engineering degrees, certifications in reliability or maintenance (e.g., CRE, RCM)
Work EnvironmentFocuses on risk modeling, probabilistic assessments, often in industries like energy, aerospaceFocuses on system reliability, maintenance strategies, often in manufacturing, utilities
Industry UsageCommon in nuclear, aerospace, oil & gas sectorsCommon in manufacturing, power plants, industrial facilities

The Contract Probabilistic Risk Analysis Engineer specializes in quantitative risk modeling using probabilistic methods, while the Contract Reliability Engineer emphasizes system reliability and maintenance strategies. Both roles require engineering backgrounds but focus on different aspects of safety and system performance within similar industries.

What are popular job titles related to Contract Probabilistic Risk Analysis Engineer jobs in Morton Grove, IL?

For Contract Probabilistic Risk Analysis Engineer jobs in Morton Grove, IL, the most frequently searched job titles are:

What cities near Morton Grove, IL are hiring for Contract Probabilistic Risk Analysis Engineer jobs?

Cities near Morton Grove, IL with the most Contract Probabilistic Risk Analysis Engineer job openings:

Infographic showing various Contract Probabilistic Risk Analysis Engineer job openings in Morton Grove, IL as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $115,268 per year, or $55.4 per hour.

Lead Software Test Automation Engineer | Test Architect - Agentic AI

Wolters Kluwer

Riverwoods, IL • On-site

$89K - $157K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Wolters Kluwer rating

9.1

Company rating: 9.1 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

26th of 247 rated software companies


Job description

We are seeking a Lead Test Automation Architectto define and lead an enterprise-gradetest automation strategyacross UI, API, data, and platform layers-while evolving our quality engineering capabilities to supportAgentic AI / LLM-based systems(probabilistic outputs, confidence-based validation, hallucination detection, and model evaluation). This role will architect scalable automation frameworks, drive engineering excellence, and accelerate delivery through highly productive, maintainable automation programs.Key ResponsibilitiesAutomation Strategy & Architecture
  • Define and own thetest automation architecture and multi-layer strategy(UI/API/contract/integration/e2e), aligned to product risk and release cadence.
  • Establish automationstandards, patterns, and reference implementations(framework structure, page-object/screenplay usage, test data patterns, reporting).
  • Driveshift-left testingpractices (contract testing, component testing, pre-merge validation) and reduce reliance on fragile end-to-end tests.
Agentic AI / LLM Test Model Alignment
  • Design and implement testing approaches fornon-deterministic AI outputs, including:
    • confidence/threshold-based assertions
    • semantic similarity checks and rubric-based validation
    • goldens/benchmark datasets and evaluation harnesses
    • hallucination and groundedness testing strategies
    • regression detection across model/prompt/version changes
  • Define AI test coverage acrossaccuracy, robustness, bias/safety (as applicable), performance, and reliability.
  • Partner with ML/AI, Product, and Engineering to establishacceptance criteriafor AI capabilities and measurable quality gates.
High-Productivity Automation Programs
  • Build and scalehigh-throughput automation projectsthat are reliable, fast, and easy to extend.
  • Improvetest execution time, reduce flaky tests, and optimize CI/CD pipelines (parallelization, test selection, retries with guardrails).
  • Create actionable, engineering-friendlyquality dashboards(pass/fail trends, flake rate, coverage, defect escape metrics).
Tooling, CI/CD, and Quality Gates
  • Integrate automation into CI/CD withquality gates(PR checks, nightly suites, release readiness criteria).
  • Standardizeobservability for testing: logs, tracing hooks, screenshots/video, artifacts, and test run diagnostics.
  • Define practices fortest environments, data management, service virtualization, and dependency control.
Technical Leadership & Mentorship
  • Serve as the QE technical authority: coach engineers on automation design, code quality, and best practices.
  • Lead design reviews for test architecture and automation PRs; enforce coding standards and maintainability.
  • Influence roadmap and delivery by translating risk into clear testing priorities.
Required Qualifications
  • 8-12+ yearsin Quality Engineering / Test Automation witharchitect-level ownershipof frameworks and strategy.
  • Proven experience designing scalable automation across:
    • API testing(contract + integration)
    • UI automationwith stable locator strategies (test IDs, accessibility roles)
    • Test datastrategy and environment reliability
  • Strong programming skills in at least one modern language (e.g.,Java, Python, TypeScript/JavaScript, C#).
  • Expertise with automation tools/frameworks (examples):
    • UI: Playwright / Cypress / Selenium
    • API: REST-assured / SuperTest / Postman/Newman / pytest
    • CI: GitHub Actions / Jenkins / Azure DevOps
  • Demonstrated ability to reduce flakiness and improve execution speed throughengineering solutions.
Preferred Qualifications (Strongly Desired)
  • Experience testingLLM/Agentic AIfeatures or other probabilistic systems, including:
    • evaluation harnesses, benchmark datasets, semantic scoring, and drift detection
    • prompt/version regression strategies and structured evaluation reports
  • Familiarity with modern quality approaches:test pyramid,contract testing,consumer-driven contracts,risk-based testing,shift-left.
  • Knowledge of security/performance testing integration (baseline understanding; hands-on is a plus).
  • Experience building reusable automation libraries for multiple teams/products.
Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$89,600.00 - $157,000.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.


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About Wolters Kluwer

Sourced by ZipRecruiter

Wolters Kluwer Global Business Services is designed to provide services to the business units in the areas of technology, sourcing, procurement, legal, finance, and accounting which includes our North American-Accounting Center. These global centers promote team collaboration using best practices around a specific focus area to drive results and enhance operational efficiencies. There is a constant endeavor to benchmark against best-in-class industry standards to improve the quality of deliverables, increase cost savings, enhance productivity, and reduce time to market for products and applications

Industry

Accounting services, library and information services and it services

Company size

10,000+ Employees

Headquarters location

Philadelphia, PA, US