Senior Portfolio Manager/Data Scientist Sr. Portfolio Manager III MSRP
Listed on 2026-07-27
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IT/Tech
Data Scientist, Machine Learning/ ML Engineer
Introduction
The Maryland State Retirement and Pension System (MSRPS) administers benefits for over 430,000 members, including active employees, retirees, and vested participants across 12 retirement systems—supporting the financial security of Maryland’s public servants.
Located in Baltimore’s Central Business District, MSRPS offers a purpose-driven workplace with modern amenities, including panoramic city and harbor views, renovated common areas, upgraded elevators, and an on-site café.
Employees enjoy comprehensive state benefits including; medical, dental, prescription coverage, generous paid leave, participation in the state pension system, and supplemental retirement savings options (401(k), 457(b), and more). Additional perks include an on-site fitness center with showers and lockers, 24/7 building security, and easy access to restaurants, shops, public transit, and major highways.
The Investment Division is committed to an inclusive workplace that values different perspectives, professional backgrounds, educational paths, problem-solving abilities, and lived experiences. We seek to create an environment in which employees are respected, supported, encouraged to contribute openly, and provided meaningful opportunities for development and advancement.
This position is designated as telework‑eligible under the State of Maryland’s Telework Policy, after successfully completing the defined required training period.
GRADEMSRP 0013
LOCATION OF POSITION120 East Baltimore Street
Baltimore, Maryland 21202
Main Purpose of JobThe Senior Portfolio Manager/Data Scientist will help develop the data, analytical, and quantitative capabilities that support the Investment Division’s research and investment processes. This position spans quantitative research, data and research infrastructure, machine learning, applied artificial intelligence, and systematic investment analysis. We recognize that candidates may bring different combinations of expertise. The successful candidate is expected to demonstrate substantial strength in one or more core areas, the ability to contribute across related functions, and the capacity to develop adjacent capabilities over time.
THe Main Purpose Of This Job
- Lead the development of data, machine learning, and artificial intelligence infrastructure to support scalable quantitative research and investment processes.
- Establish and maintain automated data pipelines and robust data quality controls to ensure the accuracy, timeliness, and integrity of research and production environments.
- Build and maintain comprehensive feature libraries across macroeconomic, cross-asset, equity, and risk domains to facilitate systematic research and portfolio management.
- Conduct quantitative alpha research utilizing advanced statistical, machine learning, and modern AI techniques to generate and enhance predictive signals and investment insights.
- Lead data and technology scouting efforts, partnering with external vendors, research institutions, and industry participants to evaluate emerging technologies and alternative data sources that may contribute to excess returns.
- Support portfolio operations and execution processes, helping ensure efficient implementation and ongoing monitoring of investment strategies.
- Actively participate in macroeconomic and market discussions, assessing their implications across asset classes and contributing to portfolio positioning, particularly during periods of market stress and extreme conditions.
- Provide oversight and management support for internally managed portfolios, including monitoring exposures, risks, performance, and implementation considerations.
- Promote a high-performing, collaborative, and innovation-oriented team culture, fostering knowledge sharing and continuous improvement.
- Collaborate closely with Legal, Operations, Information Systems, Risk, Compliance, and other stakeholders across the Agency to operationalize new capabilities and ensure the successful deployment of investment and technology initiatives.
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