Senior Portfolio ManagerData Scientist REPOST
Job Location:
Baltimore, MD - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
The Maryland State Retirement and Pension System (MSRPS) administers benefits for over 430000 members including active employees retirees and vested participants across 12 retirement systemssupporting the financial security of Marylands public servants.
Located in Baltimores 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 iscommitted to an inclusive workplace that values different perspectivesprofessional backgrounds educational paths problem-solving abilities andlived experiences. We seek to create an environment in which employees arerespected supported encouraged to contribute openly and provided meaningfulopportunities for development and advancement.
This position is designated as teleworkeligible under the State of Marylands Telework Policy after successfully completing the defined required training period.
120 East Baltimore Street
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.
Leadthe development of data machine learning and artificial intelligenceinfrastructure to support scalable quantitative research and investmentprocesses.
- Build and continuously enhance data analytics and ML/AI infrastructure to support quantitative research signal generation portfolio construction and investment decision-making.
- Implement scalable tools and workflows that improve research efficiency reproducibility and operational robustness across the investment process.
- Partner with investment technology and operations teams to translate research requirements into production-ready capabilities and infrastructure.
Establishand maintain automated data pipelines and robust data quality controls toensure the accuracy timeliness and integrity of research and productionenvironments.
- Design develop and maintain automated data ingestion and processing pipelines to ensure timely and reliable access to investment data.
- Design develop and maintain data quality control process to ensure the accuracy timeliness and integrity of research and production environments.
Conductquantitative alpha research utilizing advanced statistical machine learningand Modern AI techniques to generate and enhance predictive signals andinvestment insights.
- Stay abreast of emerging developments in machine learning artificial intelligence and quantitative methodologies and evaluate their applicability to investment research and portfolio management.
- Develop and apply advanced statistical machine learning and AI techniques to macroeconomic cross-asset equity and risk datasets to identify predictive relationships and generate alpha signals.
- Research and model macroeconomic trends market regimes asset class returns and risk dynamics to enhance forecasting and support investment decision-making.
- Build and maintain systematic forecasting frameworks for economic conditions market environments and asset price movements across global markets.
- Evaluate model performance and continuously refine methodologies to improve predictive accuracy robustness and risk-adjusted investment outcomes.
- Translate research findings into actionable insights that support portfolio construction risk management and dynamic asset allocation decisions.
Leaddata and technology scouting efforts partnering with external vendorsresearch institutions and industry participants to evaluate emergingtechnologies and alternative data sources that may contribute to excessreturns.
- Identify and evaluate emerging technologies AI capabilities and alternative data sources that have the potential to enhance investment research and generate excess returns.
- Partner with external vendors academic institutions and industry participants to assess innovative datasets analytical tools and quantitative methodologies.
- Lead proof-of-concept studies and pilot programs to validate the investment value scalability and operational feasibility of new technologies and data solutions.
Education:Degree in quantitative disciplinesuch as Mathematics Statistics Computer Science Data Science PhysicsEngineering Economics or Financeortechnical discipline.
Experience:Five years of professional investment experience with three years of experience applying modern AI methodologies toinformation gathering processing forecasting alpha generation portfolioconstruction and investment decision-making.
We recognize that qualified candidates may bring relevantskills and experience through a variety of professional educational and livedexperiences. We encourage you to apply even if you do not meet every preferredqualification. We are interested in candidates who can demonstrate the corecapabilities required for the role and who are committed to continued learningand professional growth.
Due to the confidential nature of the work selected candidates mustundergo and pass a background and credit check.
Please make sure that you provide sufficient information on your application to show that you meet the minimum selective and preferred qualifications for this recruitment. All information concerning your qualifications must be submitted by the closing date. We will not consider information submitted after this date.
Successful candidates will be ranked as Best Qualified Better Qualified or Qualified and placed on the employment (eligible) list for at least one year or be placed on a register for at least one year. This list will be used by the hiring agency to select candidates for interviews in-person or virtually.
For education obtained outside the U.S. a copy of the equivalent American education as determined by a foreign credential evaluation service must accompany the application.
The assessment may consist of a rating of your education training and experience related to the requirements of the position. It is important that you provide complete and accurate information on your application. Please report all experience and education that is related to this position
You may be asked to complete a supplemental questionnaire. The supplemental questionnaire may be used as part of the rating process. Therefore it is important that you provide complete and accurate information on your application.
Link toSTATE OF MARYLAND BENEFITS
As an employee of the State of Maryland you will have access to outstanding benefits including health insurance dental and vision plans offered at a low cost.
Personal Leave - new State employees are awarded six (6) personnel days annually (prorated based on start date).
Annual Leave - ten (10) days of accumulated annual leave per year.
Sick Leave - fifteen (15) days of accumulated sick leave per year.
Holidays - State employees also celebrate at least thirteen (13) holidays per year.
Pension - State employees earn credit towards a retirement pension.
Position is eligible for teleworking.
The online application process is STRONGLY preferred. If you are unable to apply online you may mail a paper application and supplemental questionnaire to:
Maryland State Retirement and Pension Systems
Human Resources Section
120 E. Baltimore Street
Baltimore MD 21202
Email Nick Pindale at
PLEASE DO NOT SUBMIT UNSOLICITED DOCUMENTATION
The resulting certified eligible list for this recruitment may be used for similar positions in this or other State agencies.
As an equal opportunity employer Maryland is committed to recruiting retaining and promoting employees who are reflective of the States diversity.
People with disabilities and bilingual candidates are encouraged to apply.
We thank our Veterans for their service to our country.
TTY Users: call via Maryland Relay
For education obtained outside the U.S. a copy of the equivalent American education as determined by a foreign credential evaluation service must be provided prior to hire.
Required Experience:
Manager
