What are the responsibilities and job description for the Quantitative Analyst position at ASTRONOMA?
Company Description
ASTRONOMA is a growing organization focused on applying data-driven insights and quantitative methods to complex business and market challenges. The company values analytical thinking, rigorous problem-solving, and evidence-based decision making. Team members collaborate across functions to build models, develop strategies, and generate measurable impact. ASTRONOMA encourages continuous learning and supports the professional development of its staff. The work environment emphasizes integrity, innovation, and practical application of quantitative skills.
Role Description
This is a full-time, on-site Quantitative Analyst role based in Nebraska, USA. Remote is available.
The Quantitative Analyst will design, implement, and maintain quantitative models to support risk assessment, forecasting, and strategic decision making. Day-to-day responsibilities include gathering and cleaning data, conducting statistical and mathematical analyses, and interpreting results for stakeholders. The role involves monitoring market risk exposures, preparing reports and visualizations, and collaborating with cross-functional teams to refine methodologies and improve model performance. The Quantitative Analyst will also document model assumptions, validate analytical tools, and contribute to the continuous enhancement of ASTRONOMA’s quantitative frameworks.
Qualifications
- Strong quantitative foundation, including proficiency in Statistics, Mathematics, and Quantitative Analytics.
- Experience assessing and monitoring Market Risk, with the ability to translate findings into actionable recommendations.
- Advanced Analytical Skills, including data analysis, problem-solving, and the capacity to work with complex datasets.
- Competence with statistical software or programming languages (e.g., Python, R, MATLAB, or similar) and experience with data visualization tools.
- Bachelor’s or master’s degree in a quantitative field such as Mathematics, Statistics, Economics, Finance, Engineering, or a related discipline.
- Ability to communicate complex quantitative concepts clearly to both technical and non-technical audiences.
- Strong attention to detail, organizational skills, and the ability to manage multiple projects and deadlines.
- Experience in financial services, risk management, or a related analytical role is beneficial.