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Entry Level Computer Science Banking Jobs in Washington, DC

SynergisticIT

Junior Java/Backend Engineer

Bethesda, MD · On-site

Currently, we are looking for entry-level software programmers, Java full stack developers, Python ... Recent computer science/engineering/mathematics/statistics or science graduates or people looking ...

Genesis10

Entry Level Software Developer

Washington, DC · On-site

$60K/yr

A recent STEM degree (e.g., Computer Science, Information Technology, Engineering, or a related discipline) OR 12+ months of professional work experience in finance, healthcare, banking, insurance ...

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All JobsEntry Level Computer Science Banking JobsEntry Level Computer Science Banking Jobs in Washington, DC

Entry Level Computer Science Banking information

See Washington, DC salary details

$17

$25

$32

How much do entry level computer science banking jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for entry level computer science banking in Washington, DC is $25.46, according to ZipRecruiter salary data. Most workers in this role earn between $22.07 and $28.03 per hour, depending on experience, location, and employer.

What are entry level computer science jobs 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.

Is it possible to get a job at a bank with no experience?

Entry-level computer science roles in banking often do not require prior experience, but candidates should have foundational skills in programming, data analysis, or cybersecurity. Internships, certifications, or relevant coursework can improve chances, and some banks offer training programs for newcomers.

Can I work in a bank with a computer science degree?

Entry-level computer science degrees can qualify you for various banking roles such as IT support, cybersecurity, data analysis, and software development. These positions often require knowledge of programming languages, databases, and financial systems, and may benefit from certifications like CompTIA or CISSP. Having relevant technical skills and understanding banking operations can improve your job prospects in the industry.

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, and why are they important?

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.

Is computer science dead due to AI?

Computer science remains a vital field for entry-level banking roles, as AI and automation tools are used to improve financial systems and data analysis. Skills in programming, data management, and understanding AI applications are increasingly valuable for these positions. The field continues to evolve with new technologies, creating ongoing opportunities for entry-level professionals.

What jobs pay $2000 a day?

In the field of entry-level computer science and banking, most jobs do not pay $2000 a day; high-paying roles typically require extensive experience or specialized skills. However, roles such as financial traders, senior software engineers, or consultants can reach or exceed this level with significant expertise, certifications, and often involve high-pressure environments or freelance work. Entry-level positions generally pay less, but gaining skills in programming, data analysis, or financial modeling can lead to higher earning opportunities over time.
What are popular job titles related to Entry Level Computer Science Banking jobs in Washington, DC? For Entry Level Computer Science Banking jobs in Washington, DC, the most frequently searched job titles are:
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Entry Level Computer Science Banking jobs near you
AI Specialist

AI Specialist

Recording Industry Association of America

Washington, DC • Remote

$75K - $90K/yr

Full-time

Medical, Dental, Vision, Life

Posted yesterday

Job description

Role Overview

We are seeking an entry level AI Specialist to join our core AI team. The primary focus will be on analyzing AI models and architectures. You will also help evaluate model behaviors and conceptualize emerging AI technologies.

Key Responsibilities

  • Model Analysis & Evaluation: Study, benchmark, and evaluate diverse AI models (potentially including LLMs, diffusion models, and classic machine learning architectures) to understand their emergent behaviors, limitations, and failure modes.
  • Architectural Exploration: Research and experiment with novel model architectures, fine-tuning methodologies, and optimization techniques to improve model efficiency and alignment.
  • Theoretical Problem Solving: Apply core computer science and mathematical principles to diagnose complex model behaviors, data biases, and generalization challenges.
  • Cross-Functional Knowledge Sharing: Act as an internal subject matter expert on AI theory, translating complex academic research into actionable insights for product and engineering teams.

Qualifications & Skills

  • Education: Bachelor’s degree in computer science with a formal concentration, minor, or heavy coursework focus in Artificial Intelligence and/or Machine Learning
  • Theoretical Foundation: Deep conceptual understanding of core AI pillars, including deep learning, neural network architectures, and search algorithms.
  • Mathematical Proficiency: Strong grasp of linear algebra, calculus, probability, and statistics as they relate to machine learning theory and optimization.
  • Technical Skills: Proficiency in Python and familiarity with major AI/ML frameworks (such as PyTorch or TensorFlow). Experience reading and implementing concepts from academic AI research papers is a major plus.

Benefits Offered

  • Employees of RIAA are eligible for comprehensive healthcare benefits on date of hire or the first of the month following date of hire. These include medical, dental, and vision insurance coverage as well as life, and disability insurance.