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Entry Level Artificial Intelligence Finance Jobs

$99K - $225K/yr

Artificial Intelligence and Machine Learning Engineer The Opportunity: As an experienced engineer ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Experience in finance, data, and math. * Bachelor's degree in Math, Economics, Finance, Accounting ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Partner directly with Merchandising, Pricing, Finance, Operations, HR, and Legal to turn business problems into working systems, including teams new to AI tooling REQUIRED QUALIFICATIONS * Bachelor ...

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Entry Level Artificial Intelligence Finance information

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How much do entry level artificial intelligence finance jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for entry level artificial intelligence finance in the United States is $20.40, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.84 per hour, depending on experience, location, and employer.

What is an entry level artificial intelligence finance job?

Entry level artificial intelligence finance jobs are positions for recent graduates or those new to the field, where they apply AI and machine learning techniques to solve financial problems or improve financial services. Roles may include data analyst, machine learning engineer, or quantitative analyst, typically within banks, investment firms, or fintech companies. Responsibilities often involve analyzing financial data, building predictive models, automating trading strategies, or detecting fraud using AI tools. These jobs usually require a background in mathematics, statistics, computer science, or finance, along with programming skills in languages like Python or R. Entry level positions provide hands-on experience and are a stepping stone to more advanced roles in AI-driven finance.

What are the key skills and qualifications needed to thrive as an entry level artificial intelligence finance professional?

To thrive as an Entry Level Artificial Intelligence Finance professional, you typically need a solid grounding in finance, statistics, and programming, often supported by a degree in finance, computer science, or a related field. Familiarity with data analysis tools (such as Python, R, and Excel), machine learning libraries (like TensorFlow or scikit-learn), and financial modeling software is important. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with diverse teams. These competencies are crucial for leveraging AI to create financial insights and drive data-driven decision-making in a rapidly evolving industry.

What types of projects can I expect to work on as an entry level artificial intelligence finance professional?

As an entry-level AI finance professional, you can expect to work on projects such as building predictive models for credit risk assessment, automating data analysis tasks, or assisting in the development of algorithmic trading strategies. You'll likely collaborate with data scientists, financial analysts, and software engineers to collect and preprocess financial data, test machine learning models, and interpret results for business insights. This role offers exposure to both technical and finance domains, providing valuable experience for future growth into more specialized or leadership positions.

What is the difference between Entry Level Artificial Intelligence Finance vs Entry Level Data Analyst?

AspectEntry Level Artificial Intelligence FinanceEntry Level Data Analyst
Required CredentialsBachelor's in Finance, Computer Science, or related field; familiarity with AI toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis software
Work EnvironmentFinance firms, tech companies, or financial departments using AI modelsBusiness, finance, healthcare, or marketing sectors analyzing data sets
Employer & Industry UsageFinancial institutions integrating AI for predictive analytics and risk assessmentOrganizations seeking insights from data to inform decision-making

Entry Level Artificial Intelligence Finance roles focus on applying AI techniques within financial contexts, requiring knowledge of finance and AI tools. Entry Level Data Analyst positions involve analyzing data across various industries, emphasizing statistical skills. While both roles involve data handling, AI Finance emphasizes AI applications in finance, whereas Data Analysts focus on interpreting data to support business decisions.

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Cities with the most Entry Level Artificial Intelligence Finance job openings:

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The most popular types of Artificial Intelligence Finance jobs are:

What states have the most Entry Level Artificial Intelligence Finance jobs?

States with the most job openings for Entry Level Artificial Intelligence Finance jobs include:

Infographic showing various Entry Level Artificial Intelligence Finance job openings in the United States as of September 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $42,427 per year, or $20.4 per hour.

Professional in Residence for Applied Artificial Intelligence

Smithfield, RI • On-site

Full-time, Part-time

Re-posted yesterday


Job description

Posting Details
Position Information
Job Title
Professional in Residence for Applied Artificial Intelligence
Full Time / Part Time
Full Time
Job Type
Faculty
Reports To
Dean, College of Business
Position Summary
Bryant University seeks to fill three (3) full-time, Professional-in-Residence positions in Applied Artificial Intelligence. These positions are part of a strategic cluster hire to continue the expansion of our Applied AI curriculum, as well as the build-out of the Center for Applied AI. The successful candidate will demonstrate a strong commitment to teaching excellence and will play a central role in delivering undergraduate instruction in artificial intelligence.
Should you wish to discuss this opening or request more information please contact Dr. Todd Alesandri, Dean of the College of Business. Bryant's comprehensive and intentional approach to integration of AI can be found at https://www.bryant.edu/discover-bryant/ai-bryant.
Bryant is recognized as a top 1 percent national leader in student education outcomes and ROI and regularly receives high rankings from U.S. News and World Report, QS Stars, Money, Bloomberg Businessweek, Wall Street Journal, and College Factual. Bryant's strategic plan, Vision 2030, redefines higher education through a commitment to providing students with a transformational learning experience. Vision 2030 accelerates advancements in academic innovation, experiential learning, vibrant student life, Division I athletics, and a connected community that fosters belonging and success.
Principal Accountabilities
The standard teaching load for this position is 6 courses per year, accompanied with additional responsibilities related to the Center for Applied AI. Primary teaching responsibilities will include introductory and applied AI courses, but may also include selected upper-level electives in Artificial Intelligence, Generative AI, and emerging AI applications as program needs evolve. The position is intended for individuals with professional experience and a strong applied orientation-someone who can translate AI concepts into accessible, hands-on learning experiences for primarily undergraduate students across business and related disciplines.
Qualifications
Required Qualifications:
  • Master's degree or higher in Artificial Intelligence, Data Science, Information Systems, Computer Science, Analytics, or a closely related field.
  • Ability to design and teach hands-on AI and data analytics projects.
  • Demonstrated experience in applying AI in at least one of several domains, such as accounting, finance, marketing, healthcare, insurance or media.
  • Strong communication skills and the ability to explain technical concepts to non-technical audiences.
  • Knowledge of responsible AI practices, including ethical considerations in AI deployment.

Preferred Qualifications:
  • Prior college-level teaching experience would be beneficial but not necessary.
  • Professional or applied experience working with AI Application Development, AI tools, AI platforms, or AI-enabled workflows.
  • Familiarity with generative AI technologies, prompt engineering, and AI applications in business or organizational settings.

Bryant University provides an inclusive and welcoming educational and working environments for all members of its community. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual preference or orientation, gender identity or expression, national origin, age, ethnicity, disability, genetic information, protected veteran, or marital status.
Working Environment
Bryant University is a 163-year-old private institution that is accredited by AACSB-International and the New England Commission of Higher Education (NECHE). Bryant is a student-centered institution, dedicated to educating and inspiring students to discover their passion, become innovative leaders with character, and make a difference around the world. Our innovative academic programs are attuned to the needs of industry and society with a strong commitment to experiential learning. We have approximately 3,200 undergraduate students from 38 states and 42 countries. We also have approximately 400 full- and part-time graduate students.
At Bryant University, we believe that our strength lies in the richness of our campus community and the unique perspectives that shape it. By connecting academic and social experiences, we create an environment where individuals feel valued, respected, and supported. Our commitment to fostering belonging and well-being ensures that everyone has the opportunity to thrive and contribute meaningfully. We encourage applications from those who appreciate the wide range of experiences and backgrounds that make our community exceptional. Discover more about how we cultivate a welcoming and collaborative campus culture that drives excellence.
Physical Capacities
Posting Detail Information
Posting Number
FAC01633
Open Date
03/17/2026
Close Date
Open Until Filled
No
Applicant Special Instructions
To receive full consideration, interested individuals must apply electronically. To receive full consideration, applicants should submit:
  • A letter of application describing interest in the position and relevant experience
  • A current curriculum vitae
  • If the applicant has teaching experience in higher education or professional environments, teaching evaluations, syllabi, and related materials.

Review of applications will begin immediately and will continue until the position is filled.