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Python For Finance Jobs in Maryland (NOW HIRING)

CACI International, Inc.

Reverse Engineer

Annapolis, MD · On-site

$94K - $198K/yr

Proficiency in Python for reverse engineering and development. * Experience in Computer Network ... At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial ...

Umd

IDEA Factory - QA Engineer

College Park, MD

$100K - $120K/yr

Python (for test automation and AI testing) b. JavaScript/TypeScript (for web application testing ... Monitor AI model performance and regression testing Financial Disclosure Required No For more ...

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Python For Finance information

What is the difference between Python For Finance vs Quantitative Analyst?

AspectPython For FinanceQuantitative Analyst
Required CredentialsPython skills, finance knowledge, possibly finance-related certificationsAdvanced degrees (e.g., MSc, PhD) in finance, mathematics, or related fields; certifications like CFA
Work EnvironmentFinancial firms, trading desks, investment banks, hedge fundsFinancial institutions, hedge funds, asset management firms, consulting
Employer & Industry UsageUsed for developing trading algorithms, risk modeling, data analysisDevelops quantitative models, risk assessments, trading strategies

Python For Finance focuses on using Python programming to analyze financial data and develop models, often as a technical skill. Quantitative Analysts, however, apply advanced mathematical and statistical techniques to create complex financial models. While both roles require strong analytical skills, Quantitative Analysts typically have higher-level degrees and certifications, and their work involves more theoretical modeling. Python For Finance is often a skill within a Quantitative Analyst's toolkit, but the roles differ in scope and depth.

How does a Python for Finance professional typically collaborate with other departments within a financial organization?

Python for Finance professionals frequently work alongside departments such as data analytics, risk management, and portfolio management. They often translate complex financial models into scalable code, automate data processes, and support decision-making by providing actionable insights through data analysis. Effective communication and collaboration are essential, as these professionals must understand the specific needs of stakeholders and ensure that technical solutions align with business objectives. Regular meetings, code reviews, and cross-functional project teams are common structures within the work environment.

What is Python for Finance?

Python for Finance refers to the use of the Python programming language for financial analysis, modeling, trading, and data visualization. Financial professionals use Python to automate data processing, analyze large financial datasets, build quantitative models, and develop trading algorithms. Its vast ecosystem of libraries such as Pandas, NumPy, and Matplotlib makes Python a popular choice in the finance industry for tasks ranging from risk management to portfolio optimization.

What are the key skills and qualifications needed to thrive as a Python Developer in Finance, and why are they important?

To thrive as a Python Developer in Finance, you need strong programming skills in Python, a solid understanding of financial concepts, and often a degree in computer science, finance, or a related field. Familiarity with financial libraries (such as pandas, NumPy, and QuantLib), databases, and version control systems is typically required, and certifications in data science or finance can be advantageous. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting financial data and collaborating with cross-functional teams. These skills are essential to develop robust financial solutions, ensure data accuracy, and drive informed decision-making in a highly regulated and data-driven industry.
What cities in Maryland are hiring for Python For Finance jobs? Cities in Maryland with the most Python For Finance job openings:
Python For Finance jobs near you
Infographic showing various Python For Finance job openings in Maryland as of June 2026, with employment types broken down into 3% As Needed, 7% Full Time, 68% Part Time, 2% Temporary, 19% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.
Associate Analyst, Finance Systems

Associate Analyst, Finance Systems

T Rowe Price

Owings Mills, MD • Hybrid

Other

Posted 3 hours ago

T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

Role Summary

As an Associate Analyst, you will play a key role in empowering internal stakeholders with timely, accurate, and relevant data from our financial databases. You will be responsible for the day-to-day maintenance of our data infrastructure, fulfilling ad-hoc data requests, and enhancing data literacy across the organization. This position requires a blend of technical database skills, analytical abilities, and strong communication to act as a crucial liaison between technical teams and business users.

Responsibilities

Database maintenance and data quality

  • Maintain database integrity:Perform routine monitoring, validation, and maintenance tasks to ensure the accuracy, consistency, and reliability of financial data.
  • Troubleshoot and resolve issues:Investigate and resolve data-related issues, discrepancies, and anomalies to ensure data quality.
  • Manage data access and security:Administer and maintain database permissions, user access rights, and security protocols in compliance with industry regulations and internal policies.

Data request fulfillment and support

  • Respond to requests:Act as a central point of contact for internal data inquiries and requests from departments such as finance, sales, and marketing.
  • Gather requirements:Work closely with stakeholders to understand their business needs, identify their reporting requirements, and fulfill requests in a timely manner.
  • Provide user support:Guide and assist business users on the proper use of financial systems and data tools, providing problem determination and resolution.
  • Create repeatable reports:Generate reports and dashboards using Business Intelligence (BI) visualization tools (e.g., Tableau, Power BI) to transform raw data into actionable insights.

Enablement and process improvement

  • Develop training materials:Create and maintain documentation and instructional guides to improve data literacy among business users.
  • Promote self-service:Support the development of self-service data tools and resources to empower users to find and analyze data independently.
  • Identify improvements:Proactively identify opportunities for process improvements that can enhance data quality and streamline workflows.
  • Assist with projects:Participate in data-related projects, including system upgrades, migrations, and the integration of new data sources.

Qualifications

Required:

  • Bachelor's degree in a technical field such as Information Systems, Finance, or a related discipline, or equivalent work experience.
  • Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Motivated, organized self-starter with a high level of attention to detail, ability to manage multiple priorities, and tolerance for ambiguity
  • Proven problem-solving and analytical skills.
  • Ability to work within cross-functional teams such as Finance, Accounting, and Technology to coordinate and drive priorities and objectives
  • Continuous improvement mindset

Preferred:

  • 2-4+ years of experience in data analytics, database maintenance, or a technical support role within financial services.
  • Strong proficiency in SQL for data extraction, manipulation, and analysis.
  • Familiarity with data visualization and BI tools like Tableau or Power BI.
  • Experience with project management tools such as Rally or Jira.
  • Experience with programming languages such as Python.
  • Familiarity with financial services data, regulations, and industry concepts.
  • Experience in a data governance or data strategy function.
  • Desire to pursue further education and a career in Financial Services

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to one day per week from home.

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