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Entry Level Artificial Intelligence Finance Jobs

Phase2 Technology

Artificial Intelligence Specialist

Chantilly, VA · On-site

$112.80 - $257/hr

  • Medical

  • Life

  • Retirement

  • PTO

Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

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Ivy Tech

Faculty Fellow - Artificial Intelligence

Lafayette, IN · On-site

$47K - $64K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Teach undergraduate courses in artificial intelligence and related disciplines. Develop new courses ... Cybersecurity and AI Ivy Tech is committed to supporting the well-being, growth, and financial ...

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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 Aug 19, 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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Entry Level Artificial Intelligence Finance jobs near you
Infographic showing various Entry Level Artificial Intelligence Finance job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $42,427 per year, or $20.4 per hour.

Entry Level Artificial intelligence security specialist

SynergisticIT

Warwick, RI • On-site

$16.50 - $22.25/hr

Other

Re-posted 24 days ago

Job description

SYNERGISTICIT wants every candidate to know that the Job Market is Challenging and to stand out, you need to have exceptional skills and technologies and that's where we come in to make sure you get the attention which you need
Position open for all visas and US citizens
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.
We have an excellent reputation with the clients. Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists.
We welcome candidates with all visas and citizens to apply.
Who Should Apply : Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry
Candidates who are serious about their future in the IT Industry and have set big goals for themselves.
Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. We also offer Skill enhancement programs if the candidates are missing skills or experience which our clients need with great outcomes
Candidates can benefit from skill enhancement if they fall into the below categories. If they are qualified with enough skills then no need for skill enhancement
Candidates who Lack Experience
Have had a break in careers
Lack Technical Competency
Different visa candidates who want to get employed and settle down in the USA
Please also check the below links :
Synergisticit Pics /Salaries of Successful Candidates
Synergisticit at Oracle Cloudworld 2023
Synergisticit at Gartner Data & Analytics summit
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
If not a match candidates can opt for Skill enhancement.
REQUIRED SKILLS For Java/Software Programmers :
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Core Java , javascript , C++ or software programming
  • Spring boot, Microservices and REST API's experience
  • Excellent written and verbal communication skills
For data Science/Machine learning
REQUIRED SKILLS
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, Python, data visualization tools
  • Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, Time series analysis
Please understand skills are required by clients for selection even if its Junior or entry level position the additional skills are the only way a candidate can be picked by clients.
No third party candidates or c2c candidates
Please understand skills are required by clients for selection even if its Junior or entry level position the additional skills are the only way a candidate can be picked by clients.
Please apply to the posting
No phone calls please. Shortlisted candidates would be reached out

Apply