Hiring: Quantitative Portfolio Manager Company: Allspring Global Investments Location: Charlotte, NC Job Posted Time: 2026-09-11 15:08:02 Employment Type: Hybrid Target Skills & Keywords : CFA, Machine Learning, Portfolio Management, Python, Risk Management, SQL About the job Experience: •5-10 years of experience in quantitative investing, portfolio management, research, or systematic strategies. •10 years of experience in quantitative investing, portfolio management, research, or systematic strategies. Required Skills: •Manage, optimize, and oversee on a day-to-day basis benchmark-relative quantitative equity portfolios with the objective of delivering consistent excess returns within defined risk, capacity, and client guidelines. •Monitor portfolio performance, attribution, turnover, transaction costs, and implementation efficiency. •Partner cross-functionally with quantitative researchers to develop, test, and evaluate new investment signals. •Develop scalable portfolio management workflows and automation tools. •Support institutional due diligence meetings and client presentations. •Contribute to investment commentaries, white papers, and portfolio reviews. •Serve as a subject matter expert regarding portfolio positioning, factor exposures, and investment process. Qualifications: •Bachelor's degree in Finance, Economics, Mathematics, Statistics, Engineering, Computer Science, Physics, or related quantitative discipline. •In-depth knowledge of equity markets, factor investing, portfolio construction, and performance attribution. •Demonstrated experience with quantitative modeling and data analysis. •Proficiency in Python, SQL, and experience with large financial datasets. •Knowledge of portfolio optimization techniques and risk modeling frameworks. •Strong analytical, problem-solving, and communication skills. •Remain in stationary position for prolonged periods of time •Operate computer programs and software •Demonstrated capacity to communicate effectively with audiences in person and in electronic formats •Day-to-day contact with others (co-workers and/or public) Compensation: •$150,000 - $190,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!