Quantitative Analyst

Company Description
Statistica AI is a professional-grade financial, economic, and quantitative intelligence operating system designed for institutional workflows. The platform enables finance teams and researchers to produce publication-ready research, analysis, and models by integrating structured writing with data retrieval, coding, and visualization. It supports a wide range of outputs, including equity, macro, and FICC notes, dashboards, slide-style reports, spreadsheets, and automated briefings. Statistica AI emphasizes source-backed results and consistent formatting to help users deliver audience-ready insights efficiently and reliably.

Role Description
This is a full-time, remote role for a Quantitative Analyst at Statistica AI ("Forward Deployed"). The Quantitative Analyst will build, test, and maintain quantitative models that support financial and economic research workflows on the platform. Day-to-day responsibilities include onboarding clients to analyze market and economic data, developing risk metrics, develop advanced quantitative research, apply statistical and mathematical techniques, and collaborating with product and engineering teams to embed workflows and models into user-facing tools (such as Statitica CLI and GUI - desktop). The role also involves documenting methodologies, validating model performance, and contributing to research notes, dashboards, and automated briefings to ensure accuracy, transparency, and usability for institutional clients.

Qualifications

• Candidates should possess strong quantitative analytics skills, including experience building and validating financial or economic models.
• Candidates should possess solid statistics and mathematics skills, with the ability to apply statistical methods and mathematical concepts to real-world market data.
• Candidates should possess market risk skills, including familiarity with risk measurement frameworks and market risk indicators.
• Candidates should possess advanced analytical skills, including data analysis, problem-solving, and clear interpretation of quantitative results.
• Relevant experience with programming languages (e.g., Python, R, or similar) and data visualization tools is beneficial.
• A bachelor’s or master’s degree in a quantitative field such as Finance, Economics, Statistics, Mathematics, or a related discipline is preferred.
• Strong written and verbal communication skills, with the ability to explain complex concepts to non-technical stakeholders, are important.
• Ability to work independently in a remote environment, manage multiple projects, and collaborate across multidisciplinary teams is required.