Senior Analyst/Data Scientist

State of Maryland•Baltimore City, MD

1d•Hybrid

About The Position

The Maryland State Retirement Agency is seeking a Senior Analyst/Data Scientist to support the Investment Division’s research and investment processes. This role involves quantitative research, data and research infrastructure, machine learning, applied artificial intelligence, and systematic investment analysis. The successful candidate will have 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 position is a Special Appointment and serves at the pleasure of the Appointing Authority.

Requirements

Degree in quantitative discipline such as Mathematics, Statistics, Computer Science, Data Science, Physics, Engineering, Economics, or Finance.
Three years of relevant investments or finance experience.
Applicants can substitute a minimum of four years of relevant investments or finance for the required education qualification.
A resume and cover letter are required to be uploaded with your application as well as an official transcript.
Selected candidates must undergo and pass a background and credit check.
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.
Report all experience and education that is related to this position.

Nice To Haves

Demonstrated understanding of macroeconomics, equities, fixed income, foreign exchange, commodities, and financial instruments.
Experience applying modern AI methodologies to information gathering, processing, forecasting, alpha generation, portfolio construction, and investment decision-making.
Ability to integrate quantitative research, and financial market knowledge to develop innovative investment capabilities.
Ability to explain complex technical concepts clearly to colleagues with different professional and technical backgrounds.

Responsibilities

Develop and maintain scalable data analytics, 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.
Contribute to 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.
Support internally managed portfolios, including monitoring exposures, risks, performance, and implementation considerations.
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.
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.
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.
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.
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.
Participates proof-of-concept studies and pilot programs to validate the investment value, scalability, and operational feasibility of new technologies and data solutions.
Other duties as assigned.

Benefits

Hybrid teleworking
Paid holidays 12-13 per year
Generous paid leave package (annual, sick, personal and compensatory leave)
State Pension ("defined benefit" plan)
Tax-deferred supplemental retirement savings plans (401(k) and 457)
Comprehensive, subsidized health, dental and prescription plans with little to no deductibles, free generic prescriptions, and free preventative health services
Flexible Spending Account plans for Health Care and Daycare
State Employees Credit Union
medical, dental, prescription coverage
participation in the state pension system
supplemental retirement savings options (401(k), 457(b), and more)
on-site fitness center with showers and lockers
24/7 building security
easy access to restaurants, shops, public transit, and major highways