ResponsibilitiesPeraton Labs is seeking a Risk Analysis Engineer to develop automated risk analysis capabilities including risk register management, risk identification from unstructured sources, Monte Carlo simulation, and cross-portfolio risk cascade modeling. Enables program offices to move from reactive risk management to proactive, data-driven risk intelligence.
Key Responsibilities- Build risk register management capabilities: creation, tracking, scoring, mitigation planning, and closure workflows
- Develop automated risk identification from unstructured sources (meeting notes, emails, briefings) using NLP-extracted signals
- Implement Monte Carlo simulation engines for schedule risk analysis (SRA) and cost risk analysis
- Design risk scoring models that combine traditional likelihood/impact matrices with NLP-detected risk signals
- Build risk interconnection mapping that models how risks cascade across programs within a portfolio
- Develop risk trend analysis and burn-down tracking
- Implement risk reporting and visualization data outputs (risk matrices, tornado diagrams, S-curves)
- Collaborate with PM Domain Analysts to validate risk models against established frameworks
QualificationsRequired Qualifications- 5+ years of experience with a Bachelor's degree, 3+ years with a Master's degree, or a PhD in Engineering, Mathematics, Statistics, or related field; Master's preferred
- History of professional software engineering experience with quantitative analysis or risk modeling focus
- Strong Python proficiency; experience with statistical computing (NumPy, SciPy, pandas)
- Experience with Monte Carlo simulation and probabilistic modeling
- Understanding of risk management frameworks and methodologies
- Experience with data visualization for analytical outputs
- Strong mathematical and statistical reasoning skills
- US Citizenship with the ability to obtain/maintain a Secret clearance
Preferred Qualifications- Experience with defense program risk management (DoD Risk, Issue, and Opportunity Management Guide)
- Familiarity with schedule risk analysis tools (Polaris, Primavera Risk Analysis)
- Experience with Bayesian networks or causal modeling
- Knowledge of portfolio risk aggregation techniques
Target Salary Range$86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
