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Ai In Finance Jobs (NOW HIRING)

Leland

AI for Finance Coach

Leland is building the home for ambition in the age of AI. We connect people with the experts ... We're seeking professionals who use AI in finance roles at recognizable companies to coach students ...

Tata Consultancy Service Limited

Consultant

Houston, TX · On-site

$90K - $100K/yr

Minimum of 6+ yrs experience in Finance Min 2 yrs exp in Finance & Accounting Min 2 yrs exp in Billing & reconciliation Experience on usage of AI in F&A Should be able to work on F&A Assessments ...

New

Amazon

Finance Manager, Cross Border FP&A

Seattle, WA · On-site

... AI in finance; mentor peers and junior analysts on AI tools and techniques - Collaborate with engineering, data science, and product teams to co-develop AI solutions tailored to finance needs ...

Gotion, Inc.

AI Financial Analyst

Manteno, IL

AI Financial Analyst - Manufacturing Finance Location: Manteno, IL Department: Finance / FP&A ... Bachelor's degree in Finance, Accounting, Economics, Data Analytics, or related field. * 3+ years ...

Weekday AI

Strategic finance AI Expert

$100 - $120/hr

The ideal candidate will combine strong financial acumen with hands-on experience in leveraging AI/ML tools to drive business insights, optimize unit economics, and support executive-level strategy ...

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Ai In Finance information

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$25K

$92.6K

$135.5K

How much do ai in finance jobs pay per year?

As of Jul 10, 2026, the average yearly pay for ai in finance in the United States is $92,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $109,000.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior data scientist, or machine learning executive, often in finance or technology sectors. These roles usually require advanced skills in machine learning, deep learning, programming, and experience with AI tools, and they often involve leadership responsibilities and strategic decision-making.

What is the difference between Ai In Finance vs Data Analyst in Finance?

AspectAi In FinanceData Analyst in Finance
Required CredentialsDegree in Finance, Computer Science, or related fields; knowledge of AI and machine learningDegree in Finance, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentTech-driven finance teams, AI development labs, financial institutionsFinancial firms, banks, investment companies, data analysis departments
Employer & Industry UsageFinancial technology companies, banks integrating AI solutionsFinancial services firms analyzing market data, risk, and client information

Ai In Finance focuses on developing and implementing AI solutions within finance, requiring technical and financial expertise. Data Analysts in Finance interpret financial data to support decision-making. While both roles work with financial data, Ai In Finance emphasizes AI development, whereas Data Analysts focus on data interpretation and reporting.

Which 3 jobs will survive AI?

In finance, AI is expected to complement roles such as financial analysts, risk managers, and compliance officers, as these jobs require complex judgment, interpretation of data, and ethical considerations that are difficult to automate fully. These positions involve strategic decision-making, regulatory understanding, and interpersonal skills that remain valuable despite technological advances.

How do professionals in AI in Finance typically collaborate with other departments within a financial institution?

Professionals working in AI in Finance often collaborate closely with teams such as risk management, compliance, and data engineering. They work together to define business requirements, ensure the quality and security of financial data, and interpret AI models’ results for practical decision-making. Effective communication is key, as AI specialists must translate complex technical findings into actionable insights for non-technical stakeholders. This collaborative environment fosters innovation and helps drive solutions that align with both regulatory standards and business goals.

What is AI in finance?

AI in finance refers to the use of artificial intelligence technologies and machine learning algorithms to automate, enhance, and optimize various financial services and processes. This includes applications such as fraud detection, algorithmic trading, credit risk assessment, customer service chatbots, and personalized financial advice. By leveraging large datasets and advanced analytics, AI can improve decision-making, reduce operational costs, and deliver more accurate and timely financial insights. Many financial institutions are increasingly adopting AI to stay competitive and comply with regulatory requirements.

What AI skills are in demand for finance?

AI skills in demand for finance include proficiency in machine learning, data analysis, and programming languages such as Python and R. Knowledge of financial modeling, natural language processing, and experience with AI frameworks like TensorFlow or PyTorch are also highly valued in roles involving financial analytics and automation.

What are the key skills and qualifications needed to thrive as an AI professional in Finance, and why are they important?

To thrive as an AI professional in Finance, you need a strong background in data science, machine learning, quantitative analysis, and finance, often supported by degrees in computer science, mathematics, or finance. Familiarity with programming languages like Python or R, experience with AI/ML frameworks (such as TensorFlow or PyTorch), and understanding of financial systems or regulatory standards are typically required. Strong analytical thinking, attention to detail, and effective communication skills set top performers apart in this field. These skills are vital for developing robust AI solutions that drive financial insights, improve decision-making, and ensure regulatory compliance.

Can AI do finance jobs?

AI in finance jobs involves automating tasks such as data analysis, risk assessment, and trading using machine learning algorithms and data processing tools. While AI can perform many repetitive and data-driven tasks, human oversight remains essential for strategic decision-making and ethical considerations.
More about Ai In Finance jobs
What cities are hiring for Ai In Finance jobs? Cities with the most Ai In Finance job openings:
What states have the most Ai In Finance jobs? States with the most job openings for Ai In Finance jobs include:
What job categories do people searching Ai In Finance jobs look for? The top searched job categories for Ai In Finance jobs are:
Ai In Finance jobs near you
Infographic showing various Ai In Finance job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $92,631 per year, or $44.5 per hour.
AI for Finance Coach

AI for Finance Coach

Leland

Remote

Contractor

Posted 18 days ago

Job description

Leland is building the home for ambition in the age of AI. We connect people with the experts, programs, and communities they need to land the job, get into the school, or upskill for a world being rewritten by AI. We help businesses become AI-native through training, hiring, and infrastructure. Since our founding in 2021, we've helped tens of thousands of people reach their most ambitious goals and raised $19M from world-class investors. Ambition is sacred to us, and we've built a product that takes that seriously.
We're seeking professionals who use AI in finance roles at recognizable companies to coach students and professionals looking to apply AI in financial contexts. Coaches help mentees leverage AI for financial analysis, forecasting, modeling, research, and decision-making across roles like investing, corporate finance, and fintech. Ideal candidates have hands-on experience using AI to drive better financial insights, efficiency, or outcomes and can translate that experience into clear, practical guidance. Coaches set their own hours and rates, host sessions virtually, and partner with our team to deliver high-impact coaching.
Why Leland?
  • The chance to join a world-class team helping people achieve their career and educational dreams
  • Work in a collaborative, high-energy environment where your contributions have a direct impact
  • Operate in a fast-paced, AI-native environment
  • We don't hire people who merely want to work for a great company; we hire people who want to make a great company

Leland is an equal opportunity employer. We encourage candidates of all backgrounds and demographics to apply.

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