Job Type
Full-Time Regular
Location
Costa Mesa CA


About Our Client

Our client is a cutting-edge defense technology company focused on transforming U.S. and allied military capabilities through advanced systems and software. Their platform integrates autonomy, AI, computer vision, sensor fusion, and real-time networking into an operating system that powers a 3D, real-time command and control center. Committed to rapid deployment and innovation, they bring modern tech and business models to the defense industry, delivering capabilities in months—not years.

About the Role & Team

The Revenue Strategy & Operations team is seeking a Manager with a strong background in mathematics, statistics, or econometrics. This individual will drive revenue growth and operational efficiency by applying advanced quantitative methods to forecasting, strategic planning, and data-driven decision-making. The role demands someone comfortable navigating ambiguity, solving complex problems, and building trust quickly in a fast-paced environment.

What You'll Do

  • Apply statistical techniques, such as Monte Carlo simulations and other probabilistic modeling, to perform advanced analysis on forecasts

  • Enhance and refine existing probability models to account for uncertainty and improve decision-making under variability

  • Develop analytical approaches to connect demand data with tangible business outcomes

  • Collaborate with FP&A, Business Development, and Business Operations teams to tackle challenges and create data-driven solutions

  • Present data-driven insights to leadership, turning complex datasets into strategic narratives

Required Qualifications

  • 3+ years of experience in statistical or econometric analysis, preferably at an investment bank, hedge fund, or high-growth tech company

  • Skilled in applying mathematical models to business forecasting and data analysis

  • Strong ability to synthesize large datasets into actionable insights for strategic planning

  • Proficient with statistical software and programming languages (e.g., Python, R)

  • Solid grounding in statistical theory and probabilistic modeling

  • Fast learner with a track record of translating quantitative results into business action

  • Self-driven and proactive—takes initiative to identify and solve problems

  • Ownership mentality with a strong sense of responsibility and autonomy

  • Must be authorized to work in the U.S.