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Entry Level Computer Science Banking Jobs in Maryland

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Entry Level Computer Science Banking information

What is an entry level computer science job in banking?

Entry level computer science jobs in banking typically involve roles such as software developer, data analyst, IT support, or cybersecurity analyst within financial institutions. These positions focus on developing, maintaining, and securing banking software systems, supporting digital banking services, or analyzing financial data. Candidates usually need a bachelor's degree in computer science or a related field, and some familiarity with programming languages, databases, or financial technology is helpful. These roles provide valuable experience in both technology and financial services, often opening doors to more advanced positions in the future.

What are the typical projects and team structures for entry-level computer science professionals in the banking sector?

Entry-level computer science professionals in banking often work on projects such as developing or maintaining banking applications, supporting cybersecurity initiatives, or assisting with data analysis and reporting. Teams are usually structured with a mix of software developers, QA analysts, project managers, and IT support specialists, providing a collaborative environment where junior members learn from more experienced colleagues. It's common to participate in agile development cycles, attend daily stand-ups, and engage in code reviews, offering continuous learning and exposure to various aspects of banking technology.

What are the key skills and qualifications needed to thrive as an entry level computer science professional in banking?

To thrive as an Entry Level Computer Science professional in banking, you typically need a solid understanding of programming (such as Python, Java, or SQL), data structures, and algorithms, supported by a relevant degree. Familiarity with financial software, databases, and industry-standard tools like Excel, Bloomberg Terminal, or banking-specific platforms is often expected. Strong analytical thinking, attention to detail, and effective teamwork are crucial soft skills for excelling in this environment. These combined skills ensure you can develop reliable solutions, maintain secure systems, and support the technological needs of modern banking institutions.

What is the difference between Entry Level Computer Science Banking vs Entry Level Data Analyst?

AspectEntry Level Computer Science BankingEntry Level Data Analyst
Required CredentialsBachelor's in Computer Science or related field; basic programming skillsBachelor's in Data Science, Statistics, or related field; analytical skills
Work EnvironmentBanking institutions, financial servicesCorporate offices, financial firms, consulting
Employer & Industry UsageFinancial industry, banks, fintechVarious industries including finance, marketing, tech
Common Search & ComparisonYesYes

Entry Level Computer Science Banking roles focus on applying programming and technical skills within banking and financial services, often involving software development or IT support. Entry Level Data Analyst positions emphasize analyzing data to inform business decisions, requiring strong analytical and statistical skills. While both roles may require similar educational backgrounds, their daily tasks and industry applications differ significantly.

What are popular job titles related to Entry Level Computer Science Banking jobs in Maryland? For Entry Level Computer Science Banking jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Banking jobs in Maryland look for? The top searched job categories for Entry Level Computer Science Banking jobs in Maryland are:
Entry Level Computer Science Banking jobs near you
Infographic showing various Entry Level Computer Science Banking job openings in Maryland as of August 2026, with employment types broken down into 5% Internship, 73% Full Time, 11% Part Time, and 11% Contract. Highlights an 89% In-person, and 11% Hybrid job distribution.

Data Scientist - Multiple Levels (TS/SCI with Poly Required)

Red Alpha

Annapolis Junction, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

A little about us:
 Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.     
Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we’re pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.
A day in the life:

The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems.

This role is hands-on across all areas as a data scientist; from understanding customer requirements and collecting data, to developing visualizations and advanced analytics to make data-driven recommendations and decisions. You will work directly with intel analysts to develop prototypes and novel solutions that satisfy complex operational needs. 
  
What you bring to the table:
Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.

All of our data scientists need the following skills:     

  • Proficiency with a scripting language such as R or Python
  • Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques…!) but you should be comfortable and capable with several of them and know some others not on this list.
  • A B.S. Degree in Data Science, Mathematics, Computer Science or related field.
  • For entry-level data scientists, 0-3 years of experience on Data Science projects.
  • For mid-level data scientists, 3-6 years of experience on Data Science projects.
  • For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.
  • A TS/SCI with Polygraph security clearance.

For this particular role, you will also need:     

  • Large dataset experience
  • Strong familiarity with data science applications such as association analysis, graph/network analytics, clustering, text analytics, classification and regression (multivariate and logistic).
  • Training in the design and implementation of static and dynamic visualizations in R, Python, Tableau, or similar visualization software.

These are important skills to have, but not necessarily mandatory:     

  • Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host, but you do like people and enjoy solving problems jointly with your colleagues.
  • Experience or exposure to Natural Language Processing (NLP).
  • Experience with Java, C, or other compiled languages
  • Comprehensive knowledge of Saturday Night Live sketches (just kidding)
  • Experience with SQL/NoSQL, Spark, Hadoop
  • Familiarity with Javascript and Scripting
  • Familiarity with Docker, GitLab, and React
The total package:
Our total compensation package was strategically designed with our members in mind with the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package.  Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs.  Please visit our benefits tab for additional information. 
 
Salary Range:   
  • Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation.  Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. 
  • Based on the outlined roles, responsibilities, and requirements, the  projected pay range for these positions are:
    • Entry-level:  $95,000 - $135,000
    • Mid-level: $110,000 - $155,000 
    • Senior-level:  $135,000 - $235,000
Some of our additional perks and benefits include:                 
  • Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested. 
  • Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
  • Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family.  Let's not forge free access to a fully equipped state of the art gym!
  • Keep current on new technologies and technological advancements:  $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. 
  • Dress in style:  Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
  • Enjoy the culture:  Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party!  These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!
 
Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight! 
     

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