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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 ...

Hubspot

Bachelor's degree in Finance, Accounting, Business Administration, Information Systems, a related field, or equivalent practical experience. * 6-10+ years of experience in Finance transformation ...

abnormal.ai

$126K - $181K/yr

You'll work closely with Finance leadership in a role that blends FP&A rigor with operational pragmatism in a fast-paced, remote‑first, AI-forward environment. This role will be responsible for ...

Turing

Remote Quantitative Finance Analyst

Chicago, IL · Remote

$100 - $200/hr

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports ...

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 Sep 12, 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 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 are the key skills and qualifications needed to thrive as an AI professional in finance?

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.

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 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.

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Ai In Finance jobs near you
Infographic showing various Ai In Finance job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $92,631 per year, or $44.5 per hour.

AI for Finance Coach

Remote

Leland
Business Schools and Computer and Management Training • 11 - 50 employees
Learn more about Lelandexternal

Contractor

Re-posted 22 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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