Risk Analysis Engineer

PeratonBasking Ridge, NJ
$86,000 - $138,000

About The Position

Peraton 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. This role enables program offices to move from reactive risk management to proactive, data-driven risk intelligence.

Requirements

  • 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

Nice To Haves

  • 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

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

Benefits

  • Overtime
  • Shift differential
  • Discretionary bonus
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