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Internship Quantitative Risk Modeler Jobs in Virginia

Tecolote Research

Risk Management Analyst

VA · On-site

Develop risk statements, mitigation plans, and quantitative risk models * Support and participate in trade studies, decision tree development, and product review meetings * Present detailed risk ...

Freddie Mac

Quantitative Analytics Senior

Mclean, VA · On-site

$126K - $190K/yr

Developing analytical methods and models that assess the credit risk of new and existing financial ... PhD in economics, finance, statistics, or a related quantitative discipline, or Master's degree ...

Tecolote Research

Cost Estimator / Cost Analyst

VA · On-site

Operate statistical and quantitative risk assessment models as required. * Collaborate closely with technical teams and stakeholders to support budget formulation and cost strategy. * Present ...

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Internship Quantitative Risk Modeler information

What is the difference between Internship Quantitative Risk Modeler vs Quantitative Risk Analyst?

AspectInternship Quantitative Risk ModelerQuantitative Risk Analyst
CredentialsTypically pursuing or recent graduate in finance, mathematics, or related fieldsOften requires a degree in finance, economics, or quantitative disciplines; certifications like FRM or CFA are common
Work EnvironmentInternship setting, learning-focused, supervised by senior staffFull-time professional role, responsible for risk assessment and modeling
Employer & Industry UsageUsed in banks, asset management firms, and financial institutions for training and entry-level rolesCommon in financial services, banking, and investment firms for ongoing risk management

The Internship Quantitative Risk Modeler is an entry-level, learning-focused role typically held by students or recent graduates, whereas the Quantitative Risk Analyst is a full-time professional responsible for analyzing and managing risk using quantitative models. The internship provides foundational experience, while the analyst role involves ongoing risk assessment and decision-making.

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Risk Management Analyst

Risk Management Analyst

Tecolote Research

VA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Overview
Tecolote Research, Inc. is seeking a seasoned Risk Management Analyst provide expert-level systems engineering support in the development and evaluation of complex risk management strategies for defense and aerospace programs. This position requires a high degree of independence and leadership, including mentoring junior analysts and engineering staff in risk methodologies, tools, and best practices. The analyst will contribute technical insight to high-level program decision-making, conduct in-depth risk analyses, and prepare and present comprehensive risk traceability and rationale.
Responsibilities
  • Provide independent development, evaluation, and implementation of complex risk management strategies
  • Mentor and guide team members in performing root cause analysis, applying risk methodologies, and using risk tools
  • Develop risk statements, mitigation plans, and quantitative risk models
  • Support and participate in trade studies, decision tree development, and product review meetings
  • Present detailed risk assessments, traceability documentation, and rationale to senior leadership and stakeholders
  • Provide direct support and expert-level consultation in risk management to programs and customers

Skills Required
  • Bachelor's degree (BS/BA) in Business Management, Economics, Math, Engineering, or Economics
  • 12-15 years of applicable experience and 8-12 years of Government or aerospace industry experience
  • Demonstrated expertise in risk assessment, systems engineering, and risk-informed decision support
  • Proficient in the use of quantitative and qualitative risk tools and techniques
  • Strong leadership, mentoring, and communication skills
  • Must be a U.S. Citizen and able to obtain a government security clearance
  • Experience leading risk management functions on major defense or aerospace programs
  • Proficiency with advanced risk modeling tools (e.g., @RISK, Primavera Risk Analysis, Monte Carlo simulation)
  • Familiarity with DoD and government risk management frameworks and reporting requirements

Education
Bachelor's degree required, preferably in math, engineering, or the sciences.

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