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Entry Level Computer Science Banking Jobs in Illinois

As part of the Commercial & Investment Bank, J.P. Morgan Payments enables organizations of all ... Master's degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics ...

Associate

Cary, IL · On-site

$117K - $140K/yr

Requires a Bachelor's degree in Computer Engineering, Computer Science or related field or ... Deutsche Bank Benefits At Deutsche Bank, we recognize that our benefit programs have a profound ...

Wintrust provides community and commercial banking, specialty finance and wealth management ... Bachelor's degree in Computer Science, Data Science or a related field plus 3 years of experience ...

Wintrust provides community and commercial banking, specialty finance and wealth management ... Bachelor's degree in Computer Science, Data Science or a related field plus 3 years of experience ...

Technical Systems Analyst

La Grange, IL · On-site

$65K - $111K/yr

Education and/or Experience Bachelor's degree in Computer Science, Data Science, Information Systems, Business Analytics, or a related field. Entry-level professional experience or internship ...

Education and/or Experience Bachelor's degree in Computer Science, Data Science, Information Systems, Business Analytics, or a related field. Entry-level professional experience or internship ...

Technical Systems Analyst

La Grange, IL · On-site

$65K - $111K/yr

Education and/or Experience Bachelor's degree in Computer Science, Data Science, Information Systems, Business Analytics, or a related field. Entry-level professional experience or internship ...

As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based ... A bachelor's degree in Computer Science , Software Engineering, Data Analytics, Quality Engineering ...

Financial Analyst

Chicago, IL · On-site

$60K - $90K/yr

Maintain bank account reconciliations and implement process improvements * Support the creation and ... Bachelor's degree in Accounting, Finance, Economics, Business, and/or Computer Science, Information ...

Maintain bank account reconciliations and implement process improvements * Support the creation and ... Bachelor's degree in Accounting, Finance, Economics, Business, and/or Computer Science, Information ...

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Entry Level Computer Science Banking information

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.

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.

What jobs pay $4000 a week without a degree?

Entry-level roles in computer science and banking that can pay around $4,000 weekly without a degree typically involve high-demand skills such as software development, cybersecurity, or financial technology, often requiring certifications or self-taught expertise. These positions may include freelance programming, cybersecurity consulting, or sales roles in financial services, and usually demand strong technical skills, experience, or industry certifications rather than formal degrees.

Is computer science good for banking?

Computer science is highly relevant for banking, especially in roles involving financial technology, data analysis, cybersecurity, and software development. Skills in programming, databases, and understanding financial systems are valuable for entry-level positions in banking technology departments.

Can I get a bank job with no experience?

Entry level computer science roles in banking often do not require prior experience, but having relevant skills such as programming, data analysis, or familiarity with banking software can improve your chances. Many employers offer training or onboarding programs for new hires, making it possible to start without extensive experience.

Can I get an entry level job as a CS major?

Entry level computer science jobs in banking typically require a bachelor's degree in computer science or a related field. Candidates should have foundational programming skills in languages like Java, Python, or C++, and may need to demonstrate knowledge of databases, security, or financial systems. Internships or relevant certifications can improve chances of securing such roles.
What are the most commonly searched types of Computer Science Banking jobs in Illinois? The most popular types of Computer Science Banking jobs in Illinois are:
What are popular job titles related to Entry Level Computer Science Banking jobs in Illinois? For Entry Level Computer Science Banking jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Banking jobs in Illinois look for? The top searched job categories for Entry Level Computer Science Banking jobs in Illinois are:
What cities in Illinois are hiring for Entry Level Computer Science Banking jobs? Cities in Illinois with the most Entry Level Computer Science Banking job openings:
Infographic showing various Entry Level Computer Science Banking job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution.
Applied AI/ML Senior Associate

Applied AI/ML Senior Associate

J.P. Morgan

Chicago, IL

$60K - $61K/yr

Full-time

Medical, Retirement

Posted 18 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

As part of the Commercial & Investment Bank, J.P. Morgan Payments enables organizations of all sizes to execute transactions efficiently and securely, transforming the movement of information, money and assets. We tackle complex challenges at every stage of the payment lifecycle and our industry-leading solutions facilitate seamless transactions across borders, industries and platforms.  Operating in over 160 countries and handling more than 120 currencies, we are the largest processor of USD payments, with a daily transaction volume of $10 trillion.

As a Senior Associate Applied AI/ML Scientist within our payment solutions team, you will be instrumental in utilizing artificial intelligence and machine learning technologies to augment our services and stimulate business expansion. Your role will involve researching, experimenting, developing, and implementing high-quality machine learning models, services, and platforms to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with designing and executing highly scalable and dependable data processing pipelines, conducting analysis, and deriving insights to boost and optimize business outcomes. Collaborating with cross-functional teams to pinpoint opportunities for AI/ML applications within the payment's ecosystem will also be a part of your responsibilities. 

Job Responsibilities: 

  • Actively collaborate with Product, Technology, and other cross-functional teams to gain a deep understanding of complex business problems and formulate data-driven solutions to address these challenges in key areas of the payments' domain. 
  • â¯Design, develop, and deploy agentic systems using Large Language Models (LLM), machine learning and other AI solutions that meet success metrics aligned with business goals, while considering constraints such as model complexity, scalability, and latency. 
  • Partner with Risk and Compliance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards. 
  • â¯Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders. 

Required qualifications, capabilities, and skills: 

  • Master's degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research) with a minimum of 3 years of industry experience. Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required. 
  • Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Experience with Jupyter Notebook/Lab is essential. 
  • Extensive knowledge in the design and development of agentic systems and the tooling ecosystem such as LangChain, LangGraph, Model Context Protocol (MCP), DSPy, etc.   
  • Solid Understanding of algorithms in machine learning, AI, and neural network, including Large Language Models (LLM) and Generative AI as well as familiarity with state-of-the-art practices and advancements in these domains. 
  • Ability to set the analytical direction for projects, transforming vague business questions into structured analytical plans. You possess strong cognitive and communication skills, characterized by clear and articulate expression. You excel at identifying core issues, bringing order to chaos, synthesizing insights, and driving decisive outcomes. 
  • â¯Extensive experience in Natural Language Processing (NLP) or Large Language Models (LLM),or Computer Vision and other machine learning techniques, including classification, regression algorithms. 

Preferred Qualifications, capabilities and skills 

  • Experience in the financial services industry, particularly within investment banking operations. 
  • Cloud computing: â¯Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes. 
  • Familiarity with inference-time algorithms such as Chain of Thought and sampling, etc. 

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.