Transit Data Analyst Jobs in Baltimore, MD (NOW HIRING)

Introduction

\r\n\r\n\r\nThe Maryland State Retirement Agency is the administrator of the Maryland State Retirement and Pension System ("System"). The System is a defined benefit retirement system covering governmental employees within the State of Maryland. It's composed of twelve (12) separate retirement and pension systems with over 50 different rule sets. The System has over 430,000 participants (customers), including 192,000 members who are actively employed and participating in the System, 165,000 payees who receive a monthly payment from the System, and 40,000 vested members who are no longer actively employed but have earned a benefit that will become payable at a future date.\r\nLocated in Baltimore's Central Business District, SRPS offers a purpose-driven workplace with modern amenities, including panoramic city and harbor views, renovated common areas, upgraded elevators, and an on-site caf.\r\nEmployees 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.\r\n\r\n\r\nThis is a Special Appointment position and serves at the pleasure of the Appointing Authority.\r\n

GRADE

MSRP 0009\r\n\r\n

LOCATION OF POSITION

120 East Baltimore Street\r\nBaltimore, Maryland 21202\r\n

Main Purpose of Job

The Senior Analyst/Data Scientist will help develop the data, analytical, and\r\nquantitative capabilities that support the Investment Division's research and\r\ninvestment processes. \r\nThis position spans quantitative research, data and research\r\ninfrastructure, machine learning, applied artificial intelligence, and\r\nsystematic investment analysis. We recognize that candidates may bring\r\ndifferent combinations of expertise. The successful candidate is expected to\r\ndemonstrate substantial strength in oneor\r\nmore core areas, the ability to contribute across related functions, and the\r\ncapacity to develop adjacent capabilities over time.\r\n\r\nThe main purpose of this job:\r\n\r\n\r\n\r\n Develop\r\n and maintain scalable data analytics, machine learning, and artificial\r\n intelligence infrastructure to support scalable quantitative research and\r\n investment processes.\r\n Establish\r\n and maintain automated data pipelines and robust data quality controls to\r\n ensure the accuracy, timeliness, and integrity of research and production\r\n environments.\r\n Build\r\n and maintain comprehensive feature libraries across macroeconomic,\r\n cross-asset, equity, and risk domains to facilitate systematic research\r\n and portfolio management.\r\n Conduct\r\n quantitative alpha research utilizing advanced statistical, machine\r\n learning, and modern AI techniques to generate and enhance predictive\r\n signals and investment insights.\r\n Contribute\r\n to data and technology scouting efforts, partnering with external vendors,\r\n research institutions, and industry participants to evaluate emerging\r\n technologies and alternative data sources that may contribute to excess\r\n returns.\r\n Support\r\n portfolio operations and execution processes, helping ensure efficient\r\n implementation and ongoing monitoring of investment strategies.\r\n Actively\r\n participate in macroeconomic and market discussions, assessing their\r\n implications across asset classes and contributing to portfolio\r\n positioning, particularly during periods of market stress and extreme\r\n conditions.\r\n Support\r\n internally managed portfolios, including monitoring exposures, risks,\r\n performance, and implementation considerations.\r\n Collaborate\r\n closely with Legal, Operations, Information Systems, Risk, Compliance, and\r\n other stakeholders across the Agency to operationalize new capabilities\r\n and ensure the successful deployment of investment and technology\r\n initiatives.\r\n\r\n\r\n

POSITION DUTIES

Job duties include but are not limited to:\r\nDevelop and maintain scalable data analytics,\r\nmachine learning, and artificial intelligence infrastructure to support\r\nscalable quantitative research and investment processes.\r\n\r\n Build\r\n and continuously enhance data, analytics, and ML/AI infrastructure to\r\n support quantitative research, signal generation, portfolio construction,\r\n and investment decision-making.\r\n Implement\r\n scalable tools and workflows that improve research efficiency,\r\n reproducibility, and operational robustness across the investment process.\r\n Partner\r\n with investment, technology, and operations teams to translate research\r\n requirements into production-ready capabilities and infrastructure.\r\n\r\nEstablish and maintain automated data pipelines and\r\nrobust data quality controls to ensure the accuracy, timeliness, and integrity\r\nof research and production environments.\r\n\r\n Design,\r\n develop, and maintain automated data ingestion and processing pipelines to\r\n ensure timely and reliable access to investment data.\r\n Design,\r\n develop and maintain data quality control process to ensure the accuracy,\r\n timeliness and integrity of research and production environments.\r\n\r\nConduct quantitative alpha research utilizing\r\nadvanced statistical, machine learning, and Modern AI techniques to generate\r\nand enhance predictive signals and investment insights.\r\n\r\n Stay\r\n abreast of emerging developments in machine learning, artificial\r\n intelligence, and quantitative methodologies, and evaluate their\r\n applicability to investment research and portfolio management.\r\n Develop\r\n and apply advanced statistical, machine learning, and AI techniques to\r\n macroeconomic, cross-asset, equity, and risk datasets to identify\r\n predictive relationships and generate alpha signals.\r\n Research\r\n and model macroeconomic trends, market regimes, asset class returns, and\r\n risk dynamics to enhance forecasting and support investment\r\n decision-making.\r\n Build\r\n and maintain systematic forecasting frameworks for economic conditions,\r\n market environments, and asset price movements across global markets.\r\n Evaluate\r\n model performance and continuously refine methodologies to improve\r\n predictive accuracy, robustness, and risk-adjusted investment outcomes.\r\n Translate\r\n research findings into actionable insights that support portfolio\r\n construction, risk management, and dynamic asset allocation decisions.\r\n\r\nContribute to data and technology scouting efforts,\r\npartnering with external vendors, research institutions, and industry\r\nparticipants to evaluate emerging technologies and alternative data sources\r\nthat may contribute to excess returns.\r\n\r\n Identify\r\n and evaluate emerging technologies, AI capabilities, and alternative data\r\n sources that have the potential to enhance investment research and\r\n generate excess returns.\r\n Partner\r\n with external vendors, academic institutions, and industry participants to\r\n assess innovative datasets, analytical tools, and quantitative\r\n methodologies.\r\n Participates\r\n proof-of-concept studies and pilot programs to validate the investment\r\n value, scalability, and operational feasibility of new technologies and\r\n data solutions.\r\n\r\nOther duties as assigned.\r\n

MINIMUM QUALIFICATIONS

Education:Degree in quantitative discipline\r\nsuch as Mathematics, Statistics, Computer Science, Data Science, Physics,\r\nEngineering, Economics, or Finance.\r\nExperience:Three years of relevant investments or finance experience.\r\nNote:Applicants can substitute a minimum of four years of relevant investments or finance for the required education qualification.\r\n\r\n\r\n

DESIRED OR PREFERRED QUALIFICATIONS

We welcome candidates who have developed relevant investment\r\nexpertise through different professional paths. Although experience across\r\nmulti-asset is valuable, candidates are not expected to have worked in every\r\nasset class, in investment field or to satisfy every preferred qualification. We\r\nencourage applicants to apply who bring strong expertise in one or more core\r\nareas, demonstrate the ability to learn and contribute to adjacent disciplines,\r\nand can collaborate effectively across investment, technology, risk, legal,\r\ncompliance, and operational teams.\r\nPREFERRED QUALIFICATIONS\r\n1)\r\nDemonstrated understanding of\r\nmacroeconomics, equities, fixed income, foreign exchange, commodities, and\r\nfinancial instruments.\r\n2)\r\nExperience applying modern AI\r\nmethodologies to information gathering, processing, forecasting, alpha\r\ngeneration, portfolio construction, and investment decision-making.\r\n3)\r\nAbility to integrate quantitative research,\r\nand financial market knowledge to develop innovative investment capabilities.\r\n4)Ability to explain complex technical concepts\r\nclearly to colleagues with different professional and technical backgrounds.\r\n

SPECIAL REQUIREMENTS

A resume and cover letter are required to be uploaded with\r\nyour application as well as an official transcript.\r\n\r\n\r\nDue to the confidential nature of the work, selected\r\ncandidates must undergo and pass a background and credit check.\r\n\r\n\r\n

SELECTION PROCESS

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.\r\n\r\nSuccessful 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.\r\n

EXAMINATION PROCESS

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.\r\n\r\nYou 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.\r\n

BARGAINING UNIT STATUS

This position is exempt from Bargaining.\r\n

BENEFITS

This is a full-time, permanent position and eligible for full State benefits, which include:\r\n\r\n\r\n\r\n Hybrid teleworking \r\n Paid holidays 12-13 per year \r\n Generous paid leave package (annual, sick, personal and compensatory leave) \r\n State Pension ('defined benefit' plan) \r\n Tax-deferred supplemental retirement savings plans (401(k) and 457) \r\n Comprehensive, subsidized health, dental and prescription plans with little to no deductibles, free generic prescriptions, and free preventative health services \r\n Flexible Spending Account plans for Health Care and Daycare \r\n State Employees Credit Union\r\n\r\n\r\n\r\nTo Learn more, please click this link:\r\nSTATE OF MARYLAND BENEFITS\r\n\r\n\r\n

FURTHER INSTRUCTIONS

The online application process is STRONGLY preferred. If you are unable to apply online, you may mail a paper application and supplemental questionnaire to:\r\n\r\nMaryland State Retirement and Pension Systems\r\nHuman Resources Section\r\n120 E. Baltimore Street\r\nBaltimore, MD 21202\r\n\r\nEmail Nick Pindale at npindale@sra.state.md.us\r\n\r\n\r\nPLEASE DO NOT SUBMIT UNSOLICITED DOCUMENTATION\r\n\r\nThe resulting certified eligible list for this recruitment may be used for similar positions in this or other State agencies.\r\n\r\nAs an equal opportunity employer, Maryland is committed to recruiting, retaining and promoting employees who are reflective of the State's diversity.\r\n\r\nPeople with disabilities and bilingual candidates are encouraged to apply.\r\n\r\nWe thank our Veterans for their service to our country.\r\n\r\nTTY Users: call via Maryland Relay\r\n\r\nFor 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.\r\n