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Entry Level Artificial Intelligence Finance Jobs

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

As of Aug 9, 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 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 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 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 August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $42,427 per year, or $20.4 per hour.

Artificial Intelligence Security Specialist USA

Citigroup Inc

Jersey City, NJ • On-site

Other

Posted 5 days ago


Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

39th of 170 rated banks


Job description

Artificial Intelligence Security Specialist USA

Discover your future at Citi. Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients' best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.

Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We'll enable growth and progress together.

The Chief Information Security Office (CISO) is home to deeply talented colleagues that work to ensure the safety of Citi's clients', our revenue, our employees and our proprietary data. We manage information security as one end-to end program – one with a clear mandate and accountability. Our mission is a program that is fully anchored to modern control and architectural frameworks, is fully aligned with the enterprise architecture of the firm and is deeply integrated into the businesses and functions.

AI Security Specialist

AI models can now autonomously discover and exploit zero-day vulnerabilities in production software — and we're building the defensive capability to match. We're hiring across four CISO teams working at the intersection of AI and cyber security.

What Makes This Different

  • AI-driven vulnerability management. When frontier models can generate thousands of findings in a weekend, the bottleneck shifts from discovery to triage, verification, and remediation. We're building the pipeline that makes this sustainable.
  • Security architecture for the AI era. Defining how a global bank deploys, monitors, and governs agentic AI — from standards and evaluation frameworks to production runtime monitoring.
  • AI at scale, not in a lab. Citi has deployed AI tools to 180,000+ employees, equipped 30,000 developers with AI coding assistants, and is rolling out agentic AI capabilities firm wide. Securing that footprint and the platforms that underpin them is the job.
  • Securing AI agents that can behave like insider threats. Frontier models can harvest credentials, escape sandboxes, and adapt when they detect monitoring. We're designing the containment architectures and runtime controls to operate them safely at enterprise scale.
  • Real security engineering. This isn't a cyber seat where you'll spend your time in administration. You will be expected to understand the code, the architecture, the threats, and find solutions. You'll have the mandate and the backing to build something meaningful.

What You'll Work On

  • Depending on your background and interests, you could join one of four teams:
    • Offensive Security & Vulnerability Management — AI-assisted pen testing at a scale previously impossible. Automated exploit validation. Bridge the gap from "AI found a vulnerability" to "the application team has a PR to fix it."
    • AI & Emerging Technology Security — Define how the bank deploys AI safely. Security architecture and assurance for new implementations, plus building the next generation of AI-powered tools for our CISO colleagues. Test new models at the cutting edge of creation and influence.
    • Cyber Security AI Services — Own the AI products CISO depends on in production — security assurance, cyber security operations, governance and controls, vulnerability assessment. Keep them reliable, evolve them fast.
    • Cyber Security Operations — Detection, triage, and response for a world where adversaries use AI to find and exploit vulnerabilities faster than traditional detection can keep up. Behavioral analytics for AI agents. Playbooks for AI-originated attack scenarios.

What We're Looking For

  • The right person might come from AI/ML engineering, offensive security, detection engineering, software engineering, or security research. Depth in at least one; genuine curiosity about the intersection.
    • AI/ML Engineering — Hands-on LLM API experience (context management, tool use, evaluation, failure modes). Agentic systems design. AI safety at the infrastructure level, not just the prompt level.
    • Cyber Security — Vulnerability research, exploit development, or pen testing with real depth. Detection engineering for novel attack patterns. Threat modelling (STRIDE, ATT&CK). Security architecture.
    • Software Engineering — You've built and operated production systems, not just prototypes. Strong Python and/or systems programming. Bonus if you're comfortable reading disassembly or tracing through kernel code.
    • Research & Communication — Can digest dense technical research and turn it into actionable security recommendations. Published research, conference talks, or open-source contributions.
    • Mindset - You love to engineer solutions to problems vs purchasing tools, and you see problems as opportunities
    • At any level: genuinely curious, comfortable with ambiguity, biased toward building, able to work across disciplines.

Levels

  • Assistant Vice President (C12 Mid - Senior Level): 5-7+ years. Own workstreams end-to-end with real autonomy. You'll go deep on problems that most organizations don't even know they have yet.
  • Vice President (C13 Senior - Lead/Staff Level): 8-10+ years. Define technical approach, make architectural decisions, mentor others. The scope here is wider than most senior IC roles — you're not optimizing an existing system; you're designing ones that don't exist yet.
  • Senior Vice President (C14 Lead/Staff - Principal Level): 10+ years. Set technical direction for a function and influence the firm's approach to AI security. If you've hit a ceiling elsewhere because the problem space isn't big enough, it's big enough here.

Why Citi, Why Now

  • Real and urgent. Not an innovation lab. The threats are active, the work ships into production, and it protects one of the world's largest financial institutions.
  • Technical teams. These are engineering-led functions. Small teams, high autonomy, minimal governance overhead. We build tools, ship code, and measure ourselves by what we deliver — not slide decks.
  • Strong mandate. Executive sponsorship to move fast. You'll have the backing and resources to act on what you find.
  • Unique scope. Very few organizations operate at this intersection at this scale. The solutions you build will influence how the industry responds.

Education

  • Bachelor's degree/University degree or equivalent experience
  • Master's degree preferred

We have multiple openings across various experience levels, from senior to principal, offering a dynamic environment for growth and impact. Location and compensation packages may be flexible and will be commensurate with experience and qualifications.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.


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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US