Manifest Solutions is currently seeking a Monte Carlo Project Risk Analyst for a remote position. Must reside in one of the following states: OH, TX, LA, OK, WV, VA, IN, MI, KY, AR, TN.
Develop and maintain probabilistic cost and schedule risk models for capital projects.
Define appropriate uncertainty ranges, probability distributions, assumptions, and correlations for cost and schedule variables.
Perform Monte Carlo simulations to quantify potential project cost and schedule outcomes.
Analyze simulation outputs, including P50, P80, and P90 cost forecasts and completion dates.
Assess project contingency requirements based on quantitative risk analysis.
Identify and evaluate key risk drivers, sensitivities, and contributors to cost and schedule uncertainty.
Integrate quantitative analysis with project risk registers, cost estimates, schedules, and risk-management processes.
Work closely with project controls, estimating, scheduling, engineering, finance, and project-management teams to validate model assumptions and inputs.
Review project estimates and schedules to identify areas of uncertainty and potential exposure.
Support development of risk-adjusted project forecasts and recommendations for management decision-making.
Prepare clear, concise reports, dashboards, presentations, and risk-analysis summaries for project stakeholders and leadership.
Facilitate risk workshops and collaborate with subject-matter experts to identify, quantify, and prioritize project risks.
Maintain documentation of modeling assumptions, methodologies, simulation results, and risk-analysis conclusions.
Support ongoing monitoring of project risks and update quantitative models as project conditions change.
Required Qualifications
3+ years of experience in project risk analysis, cost risk analysis, schedule risk analysis, project controls, or a related discipline.
Demonstrated hands-on experience performing Monte Carlo analysis for project cost and/or schedule risk.
Experience developing probabilistic cost and/or schedule models, including uncertainty ranges, probability distributions, and correlations.
Experience interpreting Monte Carlo results, including P50/P80/P90 forecasts, contingency requirements, risk drivers, and sensitivity analyses.
Working knowledge of capital-project estimating and project scheduling.
Experience working with project risk registers and quantitative risk analysis methodologies.
Strong analytical, problem-solving, and data-interpretation skills.
Ability to translate complex quantitative risk results into clear recommendations for project teams and leadership.
Strong written and verbal communication skills.
Preferred Qualifications
Experience with Primavera Risk Analysis.
Experience with Primavera P6 and/or other enterprise scheduling tools.
Experience supporting large-scale capital programs, construction, engineering, infrastructure, energy, utilities, or industrial projects.