Senior Analyst/Data Scientist

Job Description

Senior Analyst/Data Scientist

Sr. Investment Analyst II MSRP

Recruitment #26-005037-0001

Department

Maryland State Retirement and Pension Systems

Date Opened

8/14/2026 1:30:00 PM

Filing Deadline

8/28/2026 11:59:00 PM

Salary

$108,800.00 - $163,200.00/year

Employment Type

Full-Time

HR Analyst

Nick Pindale

Work Location

Baltimore City

Telework Eligible

Yes

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Introduction

The 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.
Located 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 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.

This is a Special Appointment position and serves at the pleasure of the Appointing Authority.

GRADE

MSRP 0009

LOCATION OF POSITION

120 East Baltimore Street
Baltimore, Maryland 21202

Main Purpose of Job

The Senior Analyst/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:

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.

POSITION DUTIES

Job duties include but are not limited to:
Develop and maintain scalable data analytics,
machine learning, and artificial intelligence infrastructure to support
scalable quantitative research and investment processes.

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.

Establish and maintain automated data pipelines and
robust data quality controls to ensure the accuracy, timeliness, and integrity
of research and production environments.

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.

Conduct quantitative alpha research utilizing
advanced statistical, machine learning, and Modern AI techniques to generate
and enhance predictive signals and investment 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.

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.

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.

MINIMUM QUALIFICATIONS

Education: Degree in quantitative discipline
such as Mathematics, Statistics, Computer Science, Data Science, Physics,
Engineering, Economics, or Finance.
Experience: Three years of relevant investments or finance experience.
Note: Applicants can substitute a minimum of four years of relevant investments or finance for the required education qualification.

DESIRED OR PREFERRED QUALIFICATIONS

We welcome candidates who have developed relevant investment
expertise through different professional paths. Although experience across
multi-asset is valuable, candidates are not expected to have worked in every
asset class, in investment field or to satisfy every preferred qualification. We
encourage applicants to apply who bring strong expertise in one or more core
areas, demonstrate the ability to learn and contribute to adjacent disciplines,
and can collaborate effectively across investment, technology, risk, legal,
compliance, and operational teams.
PREFERRED QUALIFICATIONS
1)
Demonstrated understanding of
macroeconomics, equities, fixed income, foreign exchange, commodities, and
financial instruments.
2)
Experience applying modern AI
methodologies to information gathering, processing, forecasting, alpha
generation, portfolio construction, and investment decision-making.
3)
Ability to integrate quantitative research,
and financial market knowledge to develop innovative investment capabilities.
4) Ability to explain complex technical concepts
clearly to colleagues with different professional and technical backgrounds.

SPECIAL REQUIREMENTS

A resume and cover letter are required to be uploaded with
your application as well as an official transcript.

Due to the confidential nature of the work, selected
candidates must undergo and pass a background and credit check.

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.

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.

EXAMINATION PROCESS

The assessment may consist of a rating of your education, training, and experience related to the requirements of the

Requirements

MINIMUM QUALIFICATIONS

Education: Degree in quantitative discipline
such as Mathematics, Statistics, Computer Science, Data Science, Physics,
Engineering, Economics, or Finance.
Experience: Three years of relevant investments or finance experience.
Note: Applicants can substitute a minimum of four years of relevant investments or finance for the required education qualification.

DESIRED OR PREFERRED QUALIFICATIONS

We welcome candidates who have developed relevant investment
expertise through different professional paths. Although experience across
multi-asset is valuable, candidates are not expected to have worked in every
asset class, in investment field or to satisfy every preferred qualification. We
encourage applicants to apply who bring strong expertise in one or more core
areas, demonstrate the ability to learn and contribute to adjacent disciplines,
and can collaborate effectively across investment, technology, risk, legal,
compliance, and operational teams.
PREFERRED QUALIFICATIONS
1)
Demonstrated understanding of
macroeconomics, equities, fixed income, foreign exchange, commodities, and
financial instruments.
2)
Experience applying modern AI
methodologies to information gathering, processing, forecasting, alpha
generation, portfolio construction, and investment decision-making.
3)
Ability to integrate quantitative research,
and financial market knowledge to develop innovative investment capabilities.
4) Ability to explain complex technical concepts
clearly to colleagues with different professional and technical backgrounds.

SPECIAL REQUIREMENTS

A resume and cover letter are required to be uploaded with
your