Product Manager, Associate

You are a highly motivated Product Manager with a strong interest in investment technologies, quantitative research, and project management to support the Quant research and development functions. As an Associate Product Manager on the Quantitative Product team, you will partner with quants, technology, and portfolio managers to deliver advanced portfolio optimization and trade-validation tools. Your role involves owning project plans, user stories, and release tracks end-to-end, ensuring the investment-tech roadmap advances on time and with high quality. The ideal candidate will have a strong project management mindset, experience working with different stakeholders, and a solid understanding of the investment management ecosystem. - Gain a deep understanding of portfolio optimization techniques and develop a backlog based on firm priorities. - Coordinate feature, regression, and UAT across the entire SDLC, verifying the integrity of test plans. - Own project planning, milestone tracking, and JIRA story writing. Facilitate sprint planning and stand-ups. - Act as the central coordination point across quant researchers, product managers, and tech developers. Create dashboards and reporting frameworks for internal and external stakeholders. - Work with engineering teams to define requirements for scenario analysis and backtesting tools, parameter tuning interfaces, and quant analytics visualization dashboards. - Support data engineers in data pipeline needs for research validation. Translate research requirements into technical specifications for development teams. - Partner with portfolio managers to capture qualifying criteria for trades and portfolios. Develop project plans, track progress, and ensure the delivery of quant initiatives. - Present updates, milestones, and outcomes to senior leadership and stakeholders. Required qualifications, capabilities, and skills: - Minimum 4 years in product/project management with a background in Finance, Technology, and/or Quant Research. - Bachelors degree in Finance, Engineering, Data Science, or related field; Masters degree. - Excellent project management and communication skills. Preferred qualifications, capabilities, and skills: - Experience in financial services or investment technology is preferred. - Experience with Python, R, or MATLAB for portfolio analysis preferred.,