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Ai In Finance Jobs (NOW HIRING)

Cognitiv

Finance & AI Analyst

New York, NY · Hybrid

As our first Finance & AI Analyst , you'll help transform Finance from a traditional reporting ... This position will be located in New York City with a hybrid work schedule of 3 days in office ...

Cognitiv

Finance & AI Analyst

New York, NY · On-site

As our first Finance & AI Analyst , you'll help transform Finance from a traditional reporting ... This position will be located in New York City with a hybrid work schedule of 3 days in office ...

Mercor

Agentic Finance Engineer

San Francisco, CA · On-site

$175K - $250K/yr

Our vast talent network trains frontier AI models in the same way teachers teach students: by ... Mercor's first Agentic Finance Engineer. You'll sit at the intersection of finance, data ...

Dataiku

Senior Manager, FP&A (Sales Finance)

$111K - $152K/yr

In a single environment, teams design and operate analytics, machine learning, and AI agents with ... Lead commission finance activities, including commission modeling, compensation analytics, and ...

Mercor

Finance Specialist - AI Trainer

Dallas, TX · Remote

$80 - $120/hr

Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel ... Review and compare AI-generated FP&A and treasury outputs for accuracy and sound judgment on ...

Shift Technology

Finance Intern / Work co-op

Boston, MA · Hybrid

$1.4K/mo

Exploring the use of AI to complement traditional data analysis tools. * Detail-Oriented, analytical and committed to accuracy in financial reporting and metrics while keeping critical data private ...

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Ai In Finance information

See salary details

$25K

$92.6K

$135.5K

How much do ai in finance jobs pay per year?

As of Aug 22, 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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Cities with the most Ai In Finance job openings:

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Ai In Finance jobs near you
Infographic showing various Ai In 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 $92,631 per year, or $44.5 per hour.

Finance Expert - AI Evaluation

Mercor

San Francisco, CA

$50 - $90/hr

Full-time

Posted 10 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Finance Domain Expert — AI Training & Evaluation
Type: Contract
Compensation: $50–$90/hour
Location: Bay Area, California
Commitment: 40 hours/week

Role Responsibilities

  • Evaluate the quality of finance knowledge work tasks and AI model outputs. Identify missing behaviors, thin reasoning, and flawed assumptions.
  • Write high-quality instruction specs and produce golden solutions to financial problems. Define new finance tasks reflecting practical work.
  • Design challenging finance tasks and evaluation sets. Build finance-specific skills and tools with the research team.
  • Collaborate with client researchers and specialists to maintain consistent standards. Translate tacit financial judgment into explicit criteria.
  • Work independently and asynchronously to improve AI model performance.

Qualifications

Must-Have

  • 5+ years of professional finance experience at a recognized institution.
  • Specialization in a core finance discipline such as corporate finance, investment banking, or asset management.
  • Progression to a senior individual-contributor or leadership level.
  • An advanced degree (MBA, MS, or PhD) in finance or a related field and/or a recognized professional credential such as CFA, CPA, or FRM.
  • Hands-on experience with large language models.
  • Commitment to 40 hours/week for an initial 6-month engagement.
  • Reside in the Bay Area, California and available for on-site work as needed.
  • Excellent written communication skills.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.