Job Description

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.

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