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Entry Level Artificial Intelligence Finance Jobs

A sophisticated track record in high-performance fields (e.g., Finance, Consulting, Legal, or Strategy). * AI-Native Mastery: Demonstrated experience using AI tools and automation in a practical ...

A sophisticated track record in high-performance fields (e.g., Finance, Consulting, Legal, or Strategy). * AI-Native Mastery: Demonstrated experience using AI tools and automation in a practical ...

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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 Jun 17, 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 are entry level artificial intelligence finance jobs?

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 types of projects can I expect to work on as an entry-level professional in AI finance?

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 are the key skills and qualifications needed to thrive as an Entry Level Artificial Intelligence Finance professional, and why are they important?

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 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.

More about Entry Level Artificial Intelligence Finance jobs
What cities are hiring for Entry Level Artificial Intelligence Finance jobs? Cities with the most Entry Level Artificial Intelligence Finance job openings:
What are the most commonly searched types of Artificial Intelligence Finance jobs? 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:
What job categories do people searching Entry Level Artificial Intelligence Finance jobs look for? The top searched job categories for Entry Level Artificial Intelligence Finance jobs are:
Infographic showing various Entry Level Artificial Intelligence Finance job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $42,427 per year, or $20.4 per hour.
Adjunct Instructor, Artificial Intelligence in Business (Undergraduate Level)

Adjunct Instructor, Artificial Intelligence in Business (Undergraduate Level)

High Point University

High Point, NC • On-site

Part-time

Posted 10 days ago


High Point University rating

7.6

Company rating: 7.6 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

242nd of 537 rated colleges and universities


Job description

The Phillips School of Business at High Point University invites applications for an Adjunct Professor to teach the course Artificial Intelligence in Business. This course will introduce students to the fundamentals of artificial intelligence (AI) and its applications across business functions. Students will explore how AI technologies are transforming industries, enabling data-driven decision-making, improving customer experiences, and creating competitive advantage. Through case studies, hands-on exercises, and projects, students will gain familiarity with leading AI-powered business tools and develop a strategic understanding of how AI integrates into modern organizations.
Responsibilities
  • Teach undergraduate students in the Artificial Intelligence in Business course, providing high-quality instruction and engaging learning experiences.
  • Develop course materials, assignments, and assessments aligned with learning outcomes and program goals.
  • Integrate current trends and practical applications of AI in business decision-making, including tools such as machine learning, predictive analytics, generative AI, and automation systems.
  • Foster student engagement through case studies, simulations, and project-based learning.
  • Maintain active communication with students and provide timely feedback on assignments.
  • Participate in departmental meetings and comply with university policies and procedures.

Qualifications
Required:
  • Master's degree or higher in Artificial Intelligence, Data Science, Computer Science, Business Analytics, or a closely related field.
  • Demonstrated professional experience applying AI or machine learning in a business or organizational setting (e.g., marketing, finance, operations, management, or entrepreneurship).
  • Strong communication and instructional skills with a commitment to student success.

Preferred:
  • Doctorate in a relevant related field.
  • Prior college-level teaching experience, preferably in business or technology courses.
  • Familiarity with AI tools and platforms commonly used in business (e.g., ChatGPT, Google Vertex AI, Microsoft Copilot, Salesforce Einstein, etc.).
  • Ability to connect theory to practice and incorporate current industry examples into instruction.

Interested applicants should contact Dr. Dave Tofanelli, dtofanel@highpoint.edu

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