Quantitative Analyst
Listed on 2025-12-27
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IT/Tech
Data Scientist, Data Analyst
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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