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Generative Ai Finance Jobs (NOW HIRING)

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 ...

Visa

Product Analyst - Generative AI Platform

Austin, TX · Hybrid

$110K/yr

... financial institutions and government entities across more than 200 countries and territories ... The Generative AI Platform Product team is building a scalable, next-generation platform that ...

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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 Jul 4, 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.

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.

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 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.

More about Generative Ai Finance jobs
What cities are hiring for Generative Ai Finance jobs? Cities with the most Generative Ai Finance job openings:
What states have the most Generative Ai Finance jobs? States with the most job openings for Generative Ai Finance jobs include:
What job categories do people searching Generative Ai Finance jobs look for? The top searched job categories for Generative Ai Finance jobs are:
Generative Ai Finance jobs near you
Infographic showing various Generative Ai Finance job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $98,757 per year, or $47.5 per hour.
Contract Equity Researcher (Generative AI - Finance)

Contract Equity Researcher (Generative AI - Finance)

Kensho Technologies LLC

New York, NY • On-site, Remote

Part-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Kensho is S&P Global's hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide. Kensho's solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more.
At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates' diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas, but always rooted in engineering best practices. As a result, we can innovate rapidly to produce technology that is scalable, robust, and useful.
Role Overview
We are seeking experienced Equity Research professionals to work as domain experts on a contract basis, helping us design, test, and improve generative AI tools for financial analysis.
In this role, you will contribute your real-world expertise in equity research to shape AI systems that can reason about companies, industries, financial statements, and valuation frameworks at a professional level. This is not a traditional coverage or client-facing role; instead, you will act as a subject-matter expert whose work informs how AI systems learn to perform equity research tasks.This will be a flexible, largely remote arrangement.
Key Responsibilities
  • Produce high-quality equity research outputs used to train and evaluate AI systems, including:
    • Company and sector analyses
    • Earnings forecasts and scenario analysis
    • Valuation models (DCF, trading comps, precedent transactions)
    • Investment theses with clearly articulated risks and catalysts
  • Build and review financial models that reflect industry best practices and sound analytical judgment
  • Break down your analytical process into clear, structured reasoning that can be understood and learned by AI systems
  • Answer questions about your process and analytical thinking as your produce research outputs
  • Evaluate AI-generated research outputs for:
    • Financial accuracy
    • Logical consistency
    • Professional tone and structure
    • Data Completeness
  • Provide feedback that helps improve model performance, robustness, and realism
  • Collaborate asynchronously with research, product, and engineering teams to refine workflows and expectations

Ideal Candidate Profile
  • 3-7 years of experience in equity research, asset management, hedge funds, or related investment roles
  • Strong command of:
    • Financial statement analysis
    • Forecasting and valuation methodologies
    • Industry and company-level research frameworks
  • Ability to clearly articulate investment logic, assumptions, and trade-offs
  • High standards for analytical rigor, accuracy, and presentation
  • Comfortable working independently in a remote, project-based environment
  • Interest in the intersection of finance and AI and how expert judgment can be translated into intelligent systems

Nice to Have
  • Experience writing published equity research or internal investment memos
  • Exposure to multiple sectors or global markets
  • Familiarity with how investors consume and act on research
  • Curiosity about model behavior, edge cases, and failure modes in analytical reasoning
  • Experience working with generative AI, and have perspective on what is and is not useful

At Kensho, we pride ourselves on providing top-of-market benefits, including:
  • Medical, Dental, and Vision insurance
  • 100% company paid premiums
  • Unlimited Paid Time Off
  • 26 weeks of 100% paid Parental Leave (paternity and maternity)
  • 401(k) plan with 6% employer matching
  • Generous company matching on donations to non-profit charities
  • Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences
  • Plentiful snacks, drinks, and regularly catered lunches
  • Dog-friendly office (CAM office)
  • Bike sharing program memberships
  • Compassion leave and elder care leave
  • Mentoring and additional learning opportunities
  • Opportunity to expand professional network and participate in conferences and events

Recruitment Fraud Alert:
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

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