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Generative Ai Finance Jobs (NOW HIRING)

Equifax

Generative AI Engineer

Atlanta, GA · On-site

... Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM ... Strong communication skills are required, and financial industry experience is preferred. This ...

Equifax, Inc.

Generative AI Engineer

Atlanta, GA · On-site

... Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM ... Strong communication skills are required, and financial industry experience is preferred. This ...

Equifax, Inc.

Generative AI Engineer

Atlanta, GA · On-site

... Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM ... Strong communication skills are required, and financial industry experience is preferred. This ...

Amazon

Finance Manager, AWS AI Finance

Seattle, WA · On-site

Today, AWS is at the forefront of the generative AI revolution, investing at unprecedented scale ... WHY AWS FINANCE AWS Finance is a critical pillar of the Finance & Global Business Services (FGBS ...

Tekshapers Inc

Generative AI/ML Engineer

New York, NY · On-site

Generative AI/ML Engineer Duration 6 Months Location: NYC, NY Position Overview: The Gen AI ... Proven experience in investment banking or financial services. * Extensive hands-on experience with ...

Judge Group, Inc.

Generative AI Engineer

Buffalo, NY · On-site

$65 - $75/hr

Generative Ai Engineer Contract Length: Up to 18 Months W2 Contract Location: Buffalo, NY Remote ... Financial Services or regulated industry experience Red Flags * AI experience older than 12-18 ...

Apex Systems

Generative AI Engineer

Newark, DE · On-site

Job#: 3046301 Generative AI Engineer Location: Newark, DE (Hybrid) Employment Type: Contract ... layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K ...

SS&C Technologies

As a leading financial services and healthcare technology company based on revenue, SS&C is ... Key Responsibilities Generative AI & Prompt Engineering * Design, develop, and optimize ...

Hearst

Senior Engineer, Generative AI

New York, NY · On-site

$114K - $157K/yr

Design and develop Generative AI applications and features using modern LLM APIs and open-source ... On the business-to-business side, our companies include Fitch Group, a global leader in financial ...

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Generative Ai Finance information

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$47.5K

$98.8K

$206.5K

How much do generative ai finance jobs pay per year?

As of Aug 19, 2026, the average yearly pay for generative ai finance in the United States is $98,757.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $134,500.00 per year, depending on experience, location, and employer.

What is generative AI finance?

Generative AI Finance refers to the use of advanced artificial intelligence models, such as generative adversarial networks (GANs) and large language models, in financial services and operations. These technologies are used for tasks like automating financial reporting, generating investment strategies, detecting fraud, and forecasting market trends. Generative AI can analyze vast amounts of financial data, create realistic simulations, and generate insights that can help financial institutions make better decisions. As the field grows, it is transforming how banks, investment firms, and other financial organizations approach data analysis, risk management, and customer service.

How does a generative AI finance professional typically collaborate with cross-functional teams within an organization?

Generative AI Finance professionals frequently work alongside data scientists, software engineers, and financial analysts to develop and implement AI-driven models for forecasting, risk assessment, and process automation. Collaboration is key, as finance experts provide domain knowledge while technical teams handle the model development and deployment. Regular meetings, shared project management tools, and clear communication channels help ensure alignment on project goals and timelines. These professionals also often present findings and recommendations to stakeholders, bridging the gap between technical solutions and business needs.

What are the key skills and qualifications needed to thrive as a generative AI finance professional, and why are they important?

To thrive as a Generative AI Finance professional, you need a strong background in finance, data analysis, and machine learning, often supported by degrees in finance, mathematics, computer science, or related fields. Familiarity with AI frameworks (such as TensorFlow or PyTorch), programming languages (like Python), and financial modeling tools is typically required, along with relevant certifications in finance or data science. Strong problem-solving, communication, and adaptability skills help professionals bridge the gap between technical teams and business stakeholders. These skills and qualities are crucial for designing innovative AI-driven financial solutions that are accurate, reliable, and aligned with business objectives.

What is the difference between Generative Ai Finance vs Data Analyst?

AspectGenerative Ai FinanceData Analyst
Required CredentialsDegree in Finance, Computer Science, or related fields; knowledge of AI and machine learningDegree in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentFinance firms, tech companies, AI startups; focus on AI-driven financial solutionsCorporate, consulting, or financial institutions; focus on data interpretation and reporting
Employer & Industry UsageFinancial institutions integrating AI for predictive modeling and automationOrganizations analyzing data to inform business decisions and strategies

Generative Ai Finance involves developing AI models to generate financial insights, automate tasks, and create synthetic data, often requiring expertise in AI and finance. Data Analysts focus on interpreting existing data to support decision-making. While both roles work with data, Generative Ai Finance emphasizes AI model creation, whereas Data Analysts focus on data interpretation and reporting.

Is generative AI used in finance?

Generative AI is increasingly used in finance for tasks such as algorithmic trading, risk modeling, and fraud detection. Finance professionals, including those in generative AI roles, utilize machine learning tools and data analysis skills to develop models that improve decision-making and automate processes.
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What states have the most Generative Ai Finance jobs?

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Generative Ai Finance jobs near you
Infographic showing various Generative Ai Finance job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $98,757 per year, or $47.5 per hour.

PhD Senior Director, Quantitative Generative AI Finance

Exchange Robotics Inc

Manhattan, NY • On-site

$140 - $160/hr

Other

Posted 13 days ago

Job description

Lead the strategy and execution of AI-powered financial products that transform credit workflows using generative AI.

Partner with engineering, AI, and product teams to define the future of enterprise AI solutions for financial institutions.

What you'll do
  • Define and execute the product vision, strategy, and roadmap for Scalata's generative AI platform
  • Conduct user research and collaborate with clients to identify opportunities for AI-driven financial workflows
  • Work closely with Engineering, AI/ML, UX, and Data teams to translate customer needs into product specifications
  • Oversee frontend platform development, product specifications, and customer use cases
  • Establish product quality standards and performance metrics for AI-powered features
  • Monitor product adoption, user engagement, and customer satisfaction using key performance indicators
  • Drive alignment across Product, CTO, Engineering, and Data teams to deliver user-centric solutions
  • Help shape the future of AI adoption across financial institutions through innovative product leadership
What we’re looking for
  • PhD or advanced degree in Computer Science, Engineering, Finance, Mathematics, or a related field preferred
  • Experience delivering complex generative AI solutions within financial services, consulting, or Big Four environments
  • 5+ years of product management experience delivering enterprise software or AI-driven products
  • Experience implementing products within Databricks environments
  • Strong understanding of financial markets, credit workflows, and enterprise financial systems
  • Knowledge of generative AI, machine learning, and natural language processing technologies
  • Experience with Python or R, SQL, and data visualization platforms such as Tableau or Power BI
  • Excellent communication, stakeholder management, and cross-functional leadership skills
What we offer
  • Competitive salary ($140K–$160K) plus annual bonus
  • Meaningful equity and stock option plan
  • Comprehensive benefits package
  • Work on cutting-edge generative AI technology transforming financial services
  • Collaborative, innovative team with significant opportunities for professional growth
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