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Quantitative Research Analyst (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Quantitative Research Analyst. in the . United States. .. The Quantitative Research Analyst will contribute to the development and enhancement of portfolio optimization and tax-aware investment strategies. This role combines rigorous quantitative analysis with software development, applying statistical modeling, machine learning, and optimization techniques to real-world investment problems. You will collaborate with portfolio managers, developers, and research teams to ensure analytical insights are effectively implemented in production systems. The position requires strong coding skills, deep knowledge of data structures and algorithms, and the ability to translate complex research into actionable solutions. This role operates in a highly analytical, collaborative, and innovation-driven environment where accuracy, creativity, and critical thinking are essential.. . Accountabilities:. Conduct quantitative investment research and run simulations of strategies to evaluate after-tax performance.. Design, develop, and implement models for portfolio optimization, risk assessment, and factor-based investing.. Collaborate with portfolio managers, risk teams, and developers to ensure research outputs integrate effectively into production systems.. Maintain high standards of data quality, reproducibility, and computational efficiency across research workflows.. Apply statistical and machine learning techniques, including regression, NLP, feature engineering, and optimization methods.. Communicate findings, limitations, and recommendations to technical and non-technical stakeholders.. Support continuous improvement initiatives to enhance research methodologies and investment processes.. Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Physics, or Quantitative Finance; Master’s or Ph.D. preferred for advanced quantitative focus.. 2-5 years of relevant experience in quantitative research, financial data engineering, or investment-focused software development.. Strong programming skills in C# (or Java), Python, and SQL; familiarity with object-oriented programming and modular system design.. Deep understanding of relational databases, schema design, and query optimization.. Expertise in statistical modeling, time-series analysis, machine learning, and feature engineering applied to finance.. Knowledge of portfolio optimization, risk modeling, and factor-based investing.. Familiarity with convex optimization, quadratic programming, and constrained portfolio problems.. Excellent communication skills and ability to explain complex quantitative concepts to diverse audiences.. Highly organized, detail-oriented, and able to manage multiple research projects simultaneously.. Company Location: United States.